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Preprint ARTICLE | doi:10.20944/preprints202308.0148.v1

Konstantine Arkoudas

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: GPT-4; LLM; AI; reasoning; inference

Online: 2 August 2023 (04:10:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0072.v1

Constructivism Theory: The Factors Affecting Students’ Academic Performance in Higher Education

ALI Mugahed Al-Rahmi

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: constructivism theory; social media; educational quality; students’ academic performance; engagement

Online: 2 December 2020 (15:39:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0486.v2

Intuitive Representation of Computable Knowledge

Steven Vercruysse, Martin Kuiper

Subject: Computer Science And Mathematics, Information Systems Keywords: knowledge representation; curation; biocuration; semantics; systems biology; ontology; user interface; VSM

Online: 29 July 2020 (17:29:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0137.v1

Applications, Promises, and Pitfalls of Deep Learning for Fluorescence Image Reconstruction

Chinmay Belthangady, Loic A. Royer

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: microscopy, fluorescence, machine learning, deep learning, inverse problems, image reconstruction, image restoration, super-resolution, deconvolution, spectral unmixing

Online: 11 December 2018 (17:03:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0264.v1

SARS-CoV-2 and the Secret of the Furin Site

Antonio R. Romeu, Enric Ollé

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: SARS-CoV-2, RaTG13, Furin Site, Molecular Evolution, Bioinformatics.

Online: 10 February 2021 (15:46:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v17

A Complete Proof Of The Riemann Hypothesis Based On A New Expression Of $\xi(s)$

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 8 March 2022 (11:00:07 CET)

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Preprint REVIEW | doi:10.20944/preprints202303.0344.v1

Strategies for the Management of Spike Protein-Related Pathology

Matthew T.J. Halma, Cristof Plothe, Theresa Lawrie

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Long Covid; Covid-19 vaccine; thrombosis; clots; inflammation; therapeutics

Online: 20 March 2023 (04:37:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v18

A Complete Proof Of The Riemann Hypothesis Based On A New Expression Of $\xi(s)$

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 4 April 2022 (10:55:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0710.v2

Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis

Anurag Sinha

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: covid-19, machine learning, oxygen cylinder.

Online: 6 May 2021 (14:58:50 CEST)

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This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and different nations where cases have been distinguished. This direction is proposed for wellbeing office chairmen, clinical leaders, acquisition officials, arranging officials, biomedical architects, foundation engineers and strategy producers. It portrays how to: measure oxygen interest, to distinguish oxygen sources that are accessible, and select suitable flood sources to best react to COVID-19 patients' requirements, particularly in low-and-center pay nations. WHO will refresh these suggestions as new data opens up. Coronavirus pandemic spurred fake interest for oxygen gas chambers for clinical use - both at emergency clinics and inquisitively, for home use by patients. A few patients and surprisingly sound people investigate the conceivable outcomes and likely benefits of utilizing oxygen from chambers for private utilization. Be that as it may, this isn't continuously protected, and sufficient safety measures are to be taken, bombing which there can be fatalities. This paper investigates the significance of keeping up satisfactory degrees of oxygen levels appropriate for human utilization. It advises the clinical use and the advantages and disadvantages of putting away oxygen chambers at home. The investigation likewise addresses lawful and administrative perspectives. The investigation's discoveries can help people settle on an educated choice on the protected use regarding oxygen gas. Further, it cautions on the expanded significance of guidelines and limiting access and use. This paper aims at designing an oxygen level monitoring technique in an oxygen cylinder. The amount of oxygen present inside the oxygen cylinder is very vital information when such cylinder is in use for supply of oxygen to a critical patient. The amount of oxygen present inside the cylinder is measured by the pressure at the outlet nozzle. The pressure is measured using a high precision MEMS Pressure Sensor. The output of the MEMS pressure sensor is voltage of the order milli. An amplifier is used to amplify this milli volt signal. A microcontroller is used in cascade to process the signal and display the pressure of oxygen cylinder.

Preprint ARTICLE | doi:10.20944/preprints202201.0061.v1

EmmDocClassifier: Efficient Multimodal Document Image Classifier for Scarce Data

Shrinidhi Kanchi, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: BERT, Document Image Classification, EfficientNet, fine-tuned BERT, Hierarchical Attention Networks, Multimodal, RVL-CDIP, Two-stream, Tobacco-3482

Online: 6 January 2022 (10:08:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0630.v1

Cyber Attacks in the Era of COVID-19 and Possible Solution Domains

Isaac Chin Eian, Lim Ka Yong, Majesty Yeap Xiao Li, Yeo Hui Qi, Fatima Z

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Cyber security; cyber attacks; Covid-19; attack vulnerabilities

Online: 26 September 2020 (12:47:42 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202303.0422.v1

GPT-4 vs. GPT-3.5: A Concise Showdown

Anis Koubaa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; GPT-4; GPT-3.5; GPT performance; GPT limitations; OpenaAI; NLP

Online: 24 March 2023 (02:23:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0272.v1

Asymptomatic covid-19 carriers education App (1)

Peter chew

Subject: Computer Science And Mathematics, Software Keywords: COVID-19, Education App, Biochemist, Global issue analyst

Online: 9 June 2021 (22:07:37 CEST)

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AbstractBackground: The World Health Organization (WHO) said the situation in India was a "devastating reminder" of what the coronavirus could do. COVID-19 cases suddenly spiked across India. Union Health Minister Harsh Vardhan has said that one of the major reasons for the spike in coronavirus cases was people not following COVID-appropriate behaviour. The Union minister noted that the sudden rise in cases is largely or maybe event-driven comprising local body elections, grand weddings, and farmers' protest. These events may cause asymptomatic covid-19 carriers to spread wide covid-19 to others. Malaysia is also facing a surge in Covid-19 may due to the spread of covid-19 by asymptomatic covid-19 carriers. Therefore, it is important to develop an application that can publicize information on asymptomatic covid-19 carriers. The purpose of this application is to provide sufficient information and scientific research evidence to ensure that prevention strategies for asymptomatic covid-19 carriers must be implemented. The app is also open to anyone who uses it to educate others so that information can be shared more quickly to prevent other countries from becoming "Second India or Malaysia".Method: The homepage of the app shows that asymptomatic covid-19 carriers may have a lower viral load, the same viral load, or a higher viral load than symptomatic covid-19 carriers. When the user app is pressed by each category, they will see sufficient information and scientifically based research evidence about each category. These apps also show the evidence that on January 13, 2021 - Malaysian Health Department Director Dr Noor Hisham Abdullah instructs test Only those Close Contacts With Symptoms and The Malaysian Medical Association (MMA) has urged the Health Ministry to urgently improve the management of mild Covid-19 cases and revert to its policy of testing all close contacts. In addition, These apps also show App raise public awareness of the importance of COVID-19 vaccination(version 4) [Peter Chew, 2021] can intuitively see that countries with high vaccination rates can solve the problem of asymptomatic transmission of covid-19 carriers.Result: This application displays sufficient information and scientifically based research evidence to prove asymptomatic covid-19 carriers are the main key to the outbreak of covid-19. Some countries are using covid-19 symptom prevention strategies. They are only testing the symptomatic closed contact of covid-19 patients, because they may think that asymptomatic covid-19 carrier is just a low viral load and a low transmission rate, which is wrong. Some asymptomatic covid-19 carriers of covid-19 have high viral loads. The accumulation of asymptomatic covid-19 carriers with high viral load is the main cause of the covid-19 outbreak. Conclusion: Three apps have been developed to educate the public about the importance of asymptomatic covid-19 carriers. The asymptomatic covid-19 carrier education app (1) will provide sufficient information and scientific research evidence to educate citizens of any country to ensure that preventive strategies must be implemented for asymptomatic carriers to prevent the country’s Covid-19 outbreak. App, Game Base Learning to Prevent Infection from COVID-19 (version 3) [Peter Chew, 2020 ]. The app allows anyone to intuitively see that when the second wave covid-19 arrives, the accumulation of a large number of asymptomatic carriers in some countries has led to the high infection rate of covid-19. This is what is happening in India now. App raise public awareness of the importance of COVID-19 vaccination(version 4) can intuitively see that countries with high vaccination rates can solve the problem of asymptomatic transmission of covid-19 carriers. This is what is happening in Israel now.

Preprint ARTICLE | doi:10.20944/preprints202308.0148.v2

GPT-4 Can't Reason

Konstantine Arkoudas

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: GPT-4; LLM; AI; reasoning; inference

Online: 7 August 2023 (07:13:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0507.v1

Virus Graph and COVID-19 Pandemic: A Graph Theory Approach

H. R. Bhapkar, Parikshit Mahalle, Prashant S. Dhotre

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: virus graphs; COVID-19; pandemic; epidemic

Online: 29 April 2020 (12:32:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0546.v4

An Overview of Convolutional Neural Network: Its Architecture and Applications

Shadman Sakib, Nazib Ahmed, Ahmed Jawad Kabir, Hridon Ahmed

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Convolutional Neural Network (CNN), Deep learning, Architecture, Applications

Online: 14 February 2019 (10:01:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0444.v1

On the Effects of COVID-19 outbreak on the Nigerian Stock Exchange performance: Evidence from GARCH Models

Monday Osagie Adenomon

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: NSE; COVID-19; QGARCH; EGARCH; Returns

Online: 24 April 2020 (14:00:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201912.0028.v1

Diversity-Generated Image Inpainting with Style Extraction

Weiwei Cai, Zhanguo Wei

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep learning; generative adversarial networks; image inpainting; diversity inpainting

Online: 3 December 2019 (12:04:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0125.v1

Impact of Partial lockdown on Time-Dependent Effective Reproduction Number of COVID-19 infection in Ghana: Application of change point analysis

Joseph Armachie, Agnes Adom-Konadu, Morrison Asiamah, Duah Dwomoh

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: COVID-19; Effective reproductive number; Lockdown.

Online: 5 April 2021 (12:25:56 CEST)

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Preprint REVIEW | doi:10.20944/preprints202007.0230.v1

Machine Learning: A Review of Learning Types

Shagan Sah

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning

Online: 11 July 2020 (04:46:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0516.v1

Comparative Analysis of C++ and Python in Terms of Memory and Time

Farzeen Zehra, Maha Javed, Darakhshan Khan, Maria Pasha

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: benefits; c++; comparative study; execution speed; memory management; python

Online: 21 December 2020 (11:57:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v25

A Proof Of The Riemann Hypothesis Based On A New Expression Of The Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 17 April 2023 (04:41:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202005.0234.v1

Epidemiological Challenges in Pandemic Coronavirus Disease (COVID-19): Role of Artificial Intelligence

Abhijit Dasgupta, Abhisek Bakshi, Srijani Mukherjee, Kuntal Das, Soumyajeet Talukdar, Pratyayee Chatterjee, Sagnik Mondal, Puspita Das, Subhrojit Ghosh, Archisman Som, Pritha Roy, Rima Kundu, Akash Sarkar, Arnab Biswas, Karnelia Paul, Sujit Basak, Krishnendu Manna, Chinmay Saha, Satinath Mukhopadhyay, Nitai P. Bhattacharyya, Rajat K. De

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: SIRD; Twitter; GHSI; Pre-symptomatic; EHR; Contact tracing; On-line survey; qRT-PCR; X-ray; CT/HRCT; CNN; Autoencoder; Drug affinity; CPI; and Inflation.

Online: 14 May 2020 (11:25:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0073.v1

Self-Supervised Contextual Keyword and Keyphrase Retrieval with Self-Labelling

Prafull Sharma, Yingbo Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: contextual keyword extraction; BERT; word embedding; LSTM; transformers; Deep Learning

Online: 6 August 2019 (09:17:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0156.v2

A Proof of the Riemann Hypothesis Based on Hadamard Product

Fayez Alhargan

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: The Riemann Hypothesis; the functional equation; the Riemann zeta function; Hadamard Product

Online: 28 September 2020 (10:41:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0140.v1

A Mathematical Model of COVID-19 Using Fractional Derivative: Outbreak in India with Dynamics of Transmission and Control

Amjad S. Shaikh, Iqbal N. Shaikh, Kottakkaran Sooppy Nisar

Subject: Computer Science And Mathematics, Analysis Keywords: mathematical models; coronavirus; caputo-fabrizio derivative; basic reproduction number; existence and stability; numerical simulations

Online: 9 April 2020 (08:12:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0248.v1

COVID-19 Real Time Live Tweet Sentimental Analysis Using Deep Learning Methods, Its Effect on Phases of COVID-19 Waves

Ubio Obu, Shruti Thakur

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; sentiment analysis; deep learning

Online: 19 May 2022 (03:42:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0771.v1

Blockchain-Based Electronic Health Record System for Efficient Covid-19 Pandemic Management

Shadab Alam, Faheem Ahmad Reegu, Salwani Mohd Daud, Mohammed Shuaib

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Electronic Health Record; EHR; Blockchain; Covid-19

Online: 29 April 2021 (10:31:52 CEST)

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Working Paper ARTICLE

When COVID-19 Will Decline in India? Prediction by Combination of Recovery and Case Load Rate

Atanu Bhattacharjee, Mukesh Kumar, Kamalesh Kumar Patel

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: COVID-19; recovery rate; case load rate; India

Online: 4 May 2020 (02:17:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0144.v1

Multilingual Ranking of Wikipedia Articles with Quality and Popularity Assessment in Different Topics

Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz

Subject: Computer Science And Mathematics, Information Systems Keywords: Wikipedia; Information quality; popularity; topics identification; Wikidata; DBpedia; WikiRank

Online: 13 May 2019 (08:10:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0015.v1

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi, Yana Samuel

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; coronavirus; machine learning; sentiment analysis; textual analytics; Twitter

Online: 2 May 2020 (13:52:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0145.v1

Some Properties of the Hermite Polynomials and Their Squares and Generating Functions

Feng Qi, Bai-Ni Guo

Subject: Computer Science And Mathematics, Analysis Keywords: Hermite polynomial; square; generating function; higher order derivative; differential equation; derivative polynomial; explicit formula; recurrence relation

Online: 29 November 2016 (06:50:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0827.v2

ROSGPT: Next-Generation Human-Robot Interaction with ChatGPT and ROS

Anis Koubaa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Human-Robot Interaction; ROS; ROS2; ChatGPT; Large Language Model; Robot Operating System

Online: 25 April 2023 (03:42:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0097.v1

Physical Intelligence and Thermodynamic Computing

Robert L. Fry

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Carnot cycle; causality; distinguishability; entropy; intelligent processes; questions

Online: 22 January 2017 (05:23:08 CET)

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Preprint REVIEW | doi:10.20944/preprints202303.0438.v1

Exploring ChatGPT Capabilities and Limitations: A Critical Review of the NLP Game Changer

Anis Koubaa, Wadii Boulila, Lahouari Ghouti, Ayyub Alzahem, Shahid Latif

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; Review; Technical Novelties; Taxon-omy; Applications

Online: 27 March 2023 (03:36:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0257.v1

Predictive Analytics of COVID-19 Using Information, Communication and Technologies

Parikshit N. Mahalle, Nilesh P. Sable, Namita P. Mahalle, Gitanjali R. Shinde

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; predictive analytics; forecasting models; Machine Learning Method; prediction; epidemic; pandemic

Online: 16 April 2020 (05:54:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0309.v1

Fluid Dynamics Android Application: An Efficient Semi-Implicit Solver for Compressible Flows

Shivam Singhal, Yayati Gupta, Ashish Garg

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: fluid dynamics Android app; compressible flows; isentropic flows; Android app for gas dynamics

Online: 27 October 2019 (15:30:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints201801.0017.v1

Determining Quality of Articles in Polish Wikipedia Based on Linguistic Features

Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz

Subject: Computer Science And Mathematics, Information Systems Keywords: Wikipedia; Polish; information quality; linguistic features; linguistics; data mining; NLP

Online: 3 January 2018 (02:03:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints201909.0322.v1

Comparative Analysis of Compiler Performances and Program Efficiency

Paul Tawo Bukie, Chinedu Leonard Udeze, Iwara Ofem Obono, Edim Bassey Edim

Subject: Computer Science And Mathematics, Computer Science Keywords: java virtual machine (jvm); high level programming languages; high performance computing (hpc); php framework; compiler

Online: 29 September 2019 (05:01:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0238.v1

Analysis and Prediction for the Spreading of Covid-19 Pandemic in India Using Mathematical Modeling

Nanda Poddar, Subham Dhar, Kajal Kumar Mondal, Gourab Saha

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Corona Virus; Covid-19; India; Pandemic; Mathematical modeling

Online: 19 June 2020 (10:31:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0371.v1

Qualitative Data Collection under the ‘New Normal’ in Zimbabwe

Emmanuel Ndhlovu

Subject: Computer Science And Mathematics, Analysis Keywords: COVID-19; digital data collection; qualitative; Zimbabwe

Online: 22 September 2021 (10:20:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0123.v1

Abuse of Mobile Devices by Making Reverse Proxy Server

Dogukan Aydinli, Emre Koroglu, Volkan Erol

Subject: Computer Science And Mathematics, Computer Science Keywords: Mobile device threats; mobile device malware; reverse proxy server; cyber security; android security; ios security; abuse of local area network; DNS spoofing; DNS hijacking

Online: 16 May 2017 (13:23:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0057.v1

Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study

A. S. M. Kayes, Md. Saiful Islam, Paul A. Watters, Alex Ng, Humayun Kayesh

Subject: Computer Science And Mathematics, Computer Science Keywords: COVID-19; social distancing model; sentiment analysis; physical distancing; social media; measuring attitudes

Online: 6 April 2020 (12:50:00 CEST)

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Working Paper COMMUNICATION

Mid-Low Resolution Remote Sensing Ship Detection Using Super-Resolved Feature Representation

Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng, Xu Cao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Ship detection; image super-resolution; mid-low resolution remote sensing images

Online: 16 August 2021 (12:51:38 CEST)

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Working Paper ARTICLE

Distribution of Symptoms, Comorbidities, and Severity Among Patients with COVID-19 by Age Groups, Countries, and Stages of Outbreak: A Systematic Review and Meta-Analysis

Kuan-Fu Chen, Ismaeel Yunusa, Su-Hsun Liu, Chin‐Chieh Wu, Chun‐Fu Yeh, Shih-Tsung Han, Chih-Yang Mao, Dasari Harika, Richard Rothman, Andrew Pekosz

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: COVID-19; sensitivity; specificity; diagnosis; prognosis

Online: 15 January 2021 (12:44:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v27

A Proof of the Riemann Hypothesis Based on a New Expression of the Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); proof; completed zeta function

Online: 30 October 2023 (10:34:15 CET)

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Working Paper ARTICLE

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

Mohamed Loey, Florentin Smarandache, Nour Eldeen M. Khalifa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: 2019 novel coronavirus; COVID-19; SARS-CoV-2; Deep Transfer Learning; Convolutional Neural Network; Machine Learning; GAN

Online: 7 April 2020 (10:59:04 CEST)

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The coronavirus (covid-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to the World Health Organization (WHO). With the advances in computer algorithms and especially Artificial Intelligence, the detection of this type of virus in the early stages will help in fast recovery and help in releasing the pressure off healthcare systems. In this paper, a GAN with deep transfer learning for coronavirus detection in chest x-ray images is presented. The lack of benchmark datasets for covid-19 especially in chest x-rays images is the main motivation of this research. The main idea is to collect all the possible images for covid-19 that exists until the writing of this research and use the GAN network to generate more images to help in the detection of the virus from the available x-rays images with the highest accuracy possible. The dataset used in this research was collected from different sources and it is available for researchers to download and use it. The number of images in the collected dataset is 307 images for four different types of classes. The classes are the covid-19, normal, pneumonia bacterial, and pneumonia virus. The dataset is divided into 90% for the GAN and the training and the validation phase, while 10% used in the testing phase. The GAN helps in generating more images from the original dataset to be 30 times larger than the originally collected dataset. The GAN also help in overcoming the overfitting problem and made the proposed model more robust. Three deep transfer models are selected in this research for investigation. The models are the Alexnet, Googlenet, and Restnet18. Those models are selected based on their small number of layers on their architectures, which will reflect in reducing the complexity of the models and the consumed memory and time. Using a combination of GAN and deep transfer models prove it is efficiency according to validation, testing accuracy, and performance measurements such as precision, recall, and F1 score. Three case scenarios are tested through the paper, the first scenario which includes 4 classes from the dataset, while the second scenario includes 3 classes and the third scenario includes 2 classes. All the scenarios include the covid-19 class as it is the main target of this research to be detected. In the first scenario, the Googlenet is selected to be the main deep transfer model as it achieves 80.6% in testing accuracy. In the second scenario, the Alexnet is selected to be the main deep transfer model as it achieves 85.2% in testing accuracy, while in the third scenario which includes 2 classes(covid-19, and normal), Googlenet is selected to be the main deep transfer model as it achieves 100% in testing accuracy and 99.9% in the validation accuracy. All the performance measurement strengthen the obtained results through the research. Finally, this research may be considered one of the first trails to use GAN and deep transfer models together to help in detecting coronaviruses (covid-19) within the absence of a benchmark dataset around the world, especially in x-rays chest images.

Preprint ARTICLE | doi:10.20944/preprints202103.0287.v1

Engram: A Systematic Approach to Optimize Keyboard Layouts for Touch Typing, With Example for the English Language

Arno Klein

Subject: Computer Science And Mathematics, Computer Science Keywords: ergonomics; keyboard layout; optimized keyboard layout; keyboard; touch typing; bigram frequencies

Online: 10 March 2021 (13:24:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints201911.0194.v1

A Robot's Response Acceleration Using the Metric Dimension Problem

Elsayed Badr, Khalid Aloufi

Subject: Computer Science And Mathematics, Robotics Keywords: parallel processing; MPI cluster; metric dimension; resolving set; NP-complete

Online: 17 November 2019 (01:04:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0557.v1

VSM-box: General-purpose Interface for Biocuration and Knowledge Representation

Steven Vercruysse, John Zobolas, Vasundra Touré, Maria K. Andersen, Martin Kuiper

Subject: Computer Science And Mathematics, Information Systems Keywords: knowledge representation; curation; biocuration; semantics; systems biology; ontology; user interface; VSM

Online: 23 July 2020 (12:23:10 CEST)

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Working Paper ARTICLE

Implementing an Electronic Health Record System at a Private Hospital in Nepal

Sushanta Paudyal

Subject: Computer Science And Mathematics, Information Systems Keywords: Health information technology in Nepal

Online: 14 October 2019 (10:38:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0154.v1

A QUBO Model for the Traveling Salesman Problem with Time Windows for Execution on the D-Wave

Christos Papalitsas, Theodore Andronikos, Konstantinos Giannakis, Georgia Theocharopoulou, Sofia Fanarioti

Subject: Computer Science And Mathematics, Mathematics Keywords: TSP; TSPTW; metaheuristics; quantum annealing; Ishing model; QUBO; D-Wave

Online: 15 September 2019 (16:14:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v24

A Proof Of The Riemann Hypothesis Based On A New Expression Of The Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 20 January 2023 (15:09:37 CET)

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Preprint REVIEW | doi:10.20944/preprints201911.0278.v1

Machine Learning for Clinical Decision-Making: Challenges and Opportunities

Sergio Sanchez-Martinez, Oscar Camara, Gemma Piella, Maja Cikes, Miguel Angel Gonzalez Ballester, Marius Miron, Alfredo Vellido, Emilia Gomez, Alan Fraser, Bart Bijnens

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine learning; clinical decision-making; personalized medicine; digital health

Online: 24 November 2019 (13:26:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v23

A Proof Of The Riemann Hypothesis Based On A New Expression Of The Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 25 October 2022 (12:29:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0311.v1

COVID-19 Outbreak Prediction with Machine Learning

Sina F. Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamaria R. Varkonyi-Koczy, Uwe Reuter, Timon Rabczuk, Peter M. Atkinson

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; coronavirus disease; coronavirus; SARS-CoV-2; model; prediction; machine learning

Online: 19 April 2020 (01:47:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0365.v1

The Elementary Proof of the Riemann's Hypothesis

Jan Feliksiak

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: elementary proof of the Riemann's Hypothesis; prime gaps; Prim Number Theorem; Tailored logarithmic integral; Supremum of prime counting function

Online: 30 June 2020 (10:30:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201712.0197.v1

A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization

Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou

Subject: Computer Science And Mathematics, Information Systems Keywords: air pollutant prediction; multi-task learning; regularization; analytical solution

Online: 28 December 2017 (09:09:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0252.v1

A Review of Recurrent Neural Network Architecture for Sequence Learning: Comparison between LSTM and GRU

Shiva Nosouhian, Fereshteh Nosouhian, Abbas Kazemi Khoshouei

Subject: Computer Science And Mathematics, Computer Science Keywords: Recurrent neural network; Long-term short memory; Gated recurrent unit

Online: 12 July 2021 (12:03:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0249.v1

Cybersecurity Issues and Challenges during Covid-19 Pandemic

Alya Hannah Ahmad Kamal, Caryn Chuah Yi Yen, Mah Hui Ping, F Zahra

Subject: Computer Science And Mathematics, Security Systems Keywords: Cybersecurity issues; cybersecurity challenges; Covid-19; security attacks

Online: 11 September 2020 (08:20:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0432.v2

Proof of the Collatz Conjecture

Bülent Sukuşu

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Collatz operation; Collatz inverse operation and Collatz numbers

Online: 31 October 2022 (09:24:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0130.v1

Relative Quality and Popularity Evaluation of Multilingual Wikipedia Articles

Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz

Subject: Computer Science And Mathematics, Information Systems Keywords: Wikipedia; information quality; WikiRank; DBpedia

Online: 26 September 2017 (15:34:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0559.v3

Euler-Bernoulli Beam Theory: First-Order Analysis, Second-Order Analysis, Stability, and Vibration Analysis Using the Finite Difference Method

Valentin Fogang

Subject: Computer Science And Mathematics, Mathematics Keywords: Euler Bernoulli beam; finite difference method; additional points; element stiffness matrix; tapered beam; first-order analysis; second-order analysis; vibration analysis; direct time integration method

Online: 23 September 2021 (13:08:38 CEST)

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This paper presents an approach to the Euler-Bernoulli beam theory (EBBT) using the finite difference method (FDM). The EBBT covers the case of small deflections, and shear deformations are not considered. The FDM is an approximate method for solving problems described with differential equations. The FDM does not involve solving differential equations; equations are formulated with values at selected points of the structure. Generally, the finite difference approximations are derived based on fourth-order polynomial hypothesis (FOPH) and second-order polynomial hypothesis (SOPH) for the deflection curve; the FOPH is made for the fourth and third derivative of the deflection curve while the SOPH is made for its second and first derivative. In addition, the boundary conditions and not the governing equations are applied at the beam’s ends. In this paper, the FOPH was made for all of the derivatives of the deflection curve, and additional points were introduced at the beam’s ends and positions of discontinuity (concentrated loads or moments, supports, hinges, springs, etc.). The introduction of additional points allowed us to apply the governing equations at the beam’s ends and to satisfy the boundary and continuity conditions. Moreover, grid points with variable spacing were also considered, the grid being uniform within beam segments. First-order analysis, second-order analysis, and vibration analysis of structures were conducted with this model. Furthermore, tapered beams were analyzed (element stiffness matrix, second-order analysis). Finally, a direct time integration method (DTIM) was presented. The FDM-based DTIM enabled the analysis of forced vibration of structures, with damping taken into account. The results obtained in this paper showed good agreement with those of other studies, and the accuracy was increased through a grid refinement. Especially in the first-order analysis of uniform beams, the results were exact for uniformly distributed and concentrated loads regardless of the grid. Further research will be needed to investigate polynomial refinements (higher-order polynomials such as fifth-order, sixth-order…) of the deflection curve; the polynomial refinements aimed to increase the accuracy, whereby non-centered finite difference approximations at beam’s ends and positions of discontinuity would be used.

Preprint ARTICLE | doi:10.20944/preprints202007.0502.v1

Blockchain-enable Contact Tracing for Preserving User Privacy During COVID-19 Outbreak

Md. Murshedul Arifeen, Abdullah Al Mamun, M Shamim Kaiser, Mufti Mahmud

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; contact tracing; privacy concern; secure communication; healthcare data; blockchain

Online: 22 July 2020 (06:19:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0215.v1

The Novelty of Infinite Series for the Complete Elliptic Integral of the First Kind

Ali Yunus Rohedi, Yono Hadi Pramono, Basuki Widodo, Eddy Yahya

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: integral form; infinite series; modulus function; transformation function

Online: 26 August 2016 (12:57:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201706.0033.v2

UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

Daniela Micucci, Marco Mobilio, Paolo Napoletano

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: smartphone accelerometers; dataset; human activity recognition; fall detection

Online: 18 July 2017 (13:16:10 CEST)

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Preprint REVIEW | doi:10.20944/preprints201909.0019.v1

Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond

Jicheng Li, Roghayeh Barmaki

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Virtual Reality; Augmented Reality; eye tracking; deep learning; gaze estimation; collaborative computing

Online: 2 September 2019 (09:18:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0003.v1

Farey Sequences and the Riemann Hypothesis

Darrell Cox

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann hypothesis, Farey sequence, Gauss sum associated with a Dirichlet character

Online: 4 July 2016 (09:56:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0005.v1

A System Dynamic Model for Sustainable Ecotourism in Tasik Kenyir, Terengganu, Malaysia

Muhamad Safiih Lola, Mohd Fadli Hussin, Izham Mohamad Yusoff, Mohd Noor Afiq Ramlee, Siti Hanani Isa, Anton Abdulbasah Kamil, Nur Zafirah A. Khadar, Mohd Tajuddin Abdullah

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: sustainability; ecotourism; System Dynamic; tourism; biodiversity; communities

Online: 3 February 2017 (03:53:56 CET)

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Preprint ARTICLE | doi:10.3390/sci1030062

Static and Dynamic Evaluation of an UWB Localization System for Industrial Applications

Mickael Delamare, Remi Boutteau, Xavier Savatier, Nicolas Iriart

Subject: Computer Science And Mathematics, Hardware And Architecture Keywords: indoor localization; Ultra WideBand (UWB); range estimation

Online: 31 October 2019 (00:00:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0151.v1

COVID-DenseNet: A Deep Learning Architecture to Detect COVID-19 from Chest Radiology Images

Laboni Sarker, Md. Mohaiminul Islam, Tanveer Hannan, Zakaria Ahmed

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep learning; CNN; DenseNet; COVID-19; transfer learning

Online: 9 May 2020 (04:54:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0056.v1

Using RAxML-NG in Practice

Alexey M. Kozlov, Alexandros Stamatakis

Subject: Computer Science And Mathematics, Computer Science Keywords: phylogenetic inference; maximum likelihood; parallel processing; HPC

Online: 6 May 2019 (11:12:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v16

The Riemann Hypothesis Is True If The Zeros Of $\xi(s)$ Have Strict Increasing Imaginary Parts

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function

Online: 17 February 2022 (09:54:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints201610.0131.v1

Tensor Properties of Joint Probability Densities on Riemannian Parametric Manifold

Manouchehr Amiri

Subject: Computer Science And Mathematics, Geometry And Topology Keywords: joint probability density; tensor properties; probability on Riemannian manifold; covariant derivative; contravariant derivative

Online: 31 October 2016 (02:39:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0098.v2

Open Up: A Survey on Open and Non-anonymized Peer Reviewing

Lonni Besançon, Niklas Rönnberg, Jonas Löwgren, Jonathan Tennant, Matthew Cooper

Subject: Computer Science And Mathematics, Analysis Keywords: open review; open science; zero-blind review; peer review; methodology

Online: 16 August 2019 (05:27:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1299.v1

Advancements in Quantum Computing and AI May Impact PQC Migration Timelines

Dr. Robert Campbell, Dr. Whitfield Diffie, Charles Robinson

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Post-quantum cryptography (PQC), PQC transition timelines, hybrid quantum-classical computing, artificial intelligence, machine learning, deep learning, Grover's Adaptive Search (GAS), Harrow-Hassidim-Lloyd (HHL) Algorithm

Online: 22 February 2024 (11:54:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0284.v1

A Novel Approach of CT Images Feature Analysis and Prediction to Screen for Corona Virus Disease (COVID-19)

Ahmed Abdullah Farid, Gamal Ibrahim Selim, Hatem Awad A. Khater

Subject: Computer Science And Mathematics, Information Systems Keywords: deep learning; composite hybrid feature selection; machine learning; stack ‎hybrid classification; CT-image; MPEG7 edge histogram feature extraction; CNN

Online: 18 March 2020 (08:32:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints201705.0032.v1

Autonomous Terrestrial Image Segmentation and Sensor Node Localization for Disaster Management using Plant Growth Simulation Algorithm

Deblina Bhattacharjee, Anand Paul, Won-Hwa Hong, HyunCheol Seo, Karthik S.

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: image segmentation; wireless sensor node deployment; plant growth simulation algorithm; disaster management

Online: 4 May 2017 (06:02:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.2142.v2

Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model

Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: llama 2; llama2; llama 2 projects; llama 2 model architecture; llama 2 fine-tuning

Online: 2 August 2023 (04:30:51 CEST)

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Preprint REVIEW | doi:10.20944/preprints201908.0152.v1

List of Deep Learning Models

Amir Mosavi, Sina Faizollahzadeh ardabili, Annamária R. Várkonyi-Kóczy

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep learning; machine learning model; convolutional neural networks (CNN); recurrent neural networks (RNN); denoising autoencoder (DAE); deep belief networks (DBNs); long short-term memory (LSTM); review; survey; state of the art

Online: 13 August 2019 (09:32:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0282.v1

Low-Cost Stereovision System (Disparity Map) For Few Dollars

Ildar Rakhmatulin, Eugene Pomazov

Subject: Computer Science And Mathematics, Computer Science Keywords: OpenCV stereo-vision; low-cost stereo-vision; do it yourself stereo-vision; stereoscopic binocular vision; binocular vision; do it yourself stereo-vision; practical guide stereo-vision

Online: 12 April 2021 (12:09:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0136.v1

A Systematic Review of the Use of Blockchain in Healthcare

Marko Hölbl, Marko Kompara, Aida Kamišalić, Lili Nemec Zlatolas

Subject: Computer Science And Mathematics, Information Systems Keywords: blockchain; consensus; distributed systems; healthcare; systematic review.

Online: 7 September 2018 (12:55:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201610.0043.v1

Viewing Some Ordinary Differential Equations from the Angle of Derivative Polynomials

Feng Qi, Bai-Ni Guo

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: viewpoint; ordinary differential equation; solution; derivative polynomial; identity; Stirling numbers; Bernoulli number; Bernoulli polynomial; Frobenius-Euler polynomial

Online: 12 October 2016 (11:47:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v9

A Proof of the Riemann Hypothesis Based on MacLaurin Expansion and Hadamard Product of the Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function $\xi(s)$

Online: 14 October 2021 (14:14:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0443.v1

CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment

Euclides Carlos Pinto Neto, Sajjad Dadkhah, Raphael Ferreira, Alireza Zohourian, Rongxing Lu, Ali A Ghorbani

Subject: Computer Science And Mathematics, Security Systems Keywords: Internet of Things (IoT); Dataset; Security; Machine Learning; Deep Learning; DoS; DDoS; Reconnaissance; Web Attacks; Brute Force; Spoofing; Mirai

Online: 8 May 2023 (04:41:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0052.v1

MHD Flow and Heat Transfer Analysis in Wire Coating Process Using Elastic-Viscous Fluid

Zeeshan Khan, Rahan Ali Shah, Saeed Islam, Hamid Jan, Bilal Jan, Haroon-Ur Rasheed

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: wire coating; elastico-viscous fluid; MHD flow; heat transfer; ADM and OHAM

Online: 10 January 2017 (10:33:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints201610.0035.v1

Closed Forms for Derangement Numbers in Terms of the Hessenberg Determinants

Feng Qi, Jiao-Lian Zhao, Bai-Ni Guo

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: derangement number; closed form; Hessenberg determinant; tridiagonal determinant; generating function; recurrence relation; derivative

Online: 11 October 2016 (10:53:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0064.v1

Modeling, Simulation and Optimization of agricultural greenhouse microclimate by the application of artificial intelligence and / or fuzzy logic

Didi Faouzi, Nacereddine Bibi-Triki

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Greenhouse , microclimate , Modelling , fuzzy controller , Optimization , Solar Energy , Energy saving , Climate Model ,Greenhouse effect , Temperature

Online: 21 July 2016 (09:44:16 CEST)

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Agricultural greenhouse is largely answered in the agricultural sphere, despite the shortcomings it has, including overheating during the day and night cooling which sometimes results in the thermal inversion mainly due to its low inertia. The glasshouse dressed chapel is relatively more efficient than the conventional tunnel greenhouse. Its proliferation on the ground is more or less timid because of its relatively high cost[14-22]. Agricultural greenhouse aims to create a favorable microclimate to the requirements of growth and development of culture, from the surrounding weather conditions, produce according to the cropping calendars fruits, vegetables and flower species out of season and widely available along the year. It is defined by its structural and functional architecture, the quality thermal, mechanical and optical of its wall, with its sealing level and the technical and technological accompanying[12-13]. The greenhouse is a very confined environment, where multiple components are exchanged between key stakeholders and them factors are light, temperature and relative humidity[8]. This state of thermal evolution is the level sealing of the cover of its physical characteristics to be transparent to solar, absorbent and reflective of infrared radiation emitted by the enclosure where the solar radiation trapping effect otherwise called "greenhouse effect" and its technical and technological means of air that accompany. The socio-economic analysis of populations in the world leaves appear especially the last two decades of rapid and profound transformations These changes are accompanied by changes in eating habits, mainly characterized by rising consumption spread along the year[14]. To effectively meet this demand, greenhouse-systems have evolved, particularly towards greater control of production conditions (climate, irrigation, ventilation techniques, CO2 supply, etc ...). Technological progress has allowed the development of greenhouses so that they become increasingly sophisticated and of an industrial nature (heating, air conditioning, control, computer, regulation, etc ...). New climate driving techniques have emerged, including the use of control devices from the classic to the use of artificial intelligence[10-11] such as neural networks and / or fuzzy logic, etc... As a result, the greenhouse growers prefer these new technologies while optimizing the investment in the field to effectively meet the supply and demand of these fresh products cheaply and widely available throughout the year.

Preprint REVIEW | doi:10.20944/preprints202202.0123.v1

Practical Self-Driving Cars: Survey of the State-of-the-Art

Debanjan Saha, Shuvodeep De

Subject: Computer Science And Mathematics, Robotics Keywords: cnn; ann; robotics; machine learning; ann; artificial intelligence

Online: 8 February 2022 (15:42:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints201610.0020.v1

Some Integral Transforms of the Generalized k-Mittag-Leffler Function

Feng Qi, Kottakkaran Sooppy Nisar

Subject: Computer Science And Mathematics, Analysis Keywords: integral transform; generalized k-Mittag-Leer function; generalized Wright function; generalized k-Wright function; gamma function

Online: 8 October 2016 (10:41:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0003.v6

Farey Sequences and the Riemann Hypothesis

Darrell Cox

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann hypothesis, Farey sequence, Gauss sum associated with a Dirichlet character

Online: 10 August 2016 (11:35:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0121.v1

Evolution of Brains and Computers: The Roads not Taken

Ricard Sole, Luis Seoane

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Evolution; brains; deep learning; embodiment; neural networks; artificial intelligence; neurorobotics

Online: 9 May 2022 (14:12:27 CEST)

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Preprint REVIEW | doi:10.20944/preprints202101.0457.v1

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

Iqbal H. Sarker

Subject: Computer Science And Mathematics, Security Systems Keywords: Cybersecurity; artificial intelligence; machine learning; cyber data analytics; cyber-attacks; anomaly; intrusion detection; security intelligence

Online: 25 January 2021 (09:19:10 CET)

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Preprint SHORT NOTE | doi:10.20944/preprints201610.0034.v1

A Determinantal Expression and a Recurrence Relation for the Euler Polynomials

Feng Qi, Bai-Ni Guo

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: determinantal expression; recurrence relation; Euler polynomial; Euler number; Hessenberg determinant

Online: 11 October 2016 (10:40:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0488.v1

Heartbeat Abnormality Detection using Machine Learning Models and Rate Variability (HRV) Data

Pratik Vyas, Diptangshu Pandit

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: heart rate variability; machine learning; abnormality detection; window shifting; high accuracy prediction

Online: 25 July 2018 (14:22:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0257.v2

Data Analytics: COVID-19 Prediction Using Multimodal Data

Parikshit N. Mahalle, Nilesh P. Sable, Namita P. Mahalle, Gitanjali R. Shinde

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; Predictive Analytics; Machine Learning; Prediction; Pandemic

Online: 14 May 2020 (09:03:52 CEST)

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Preprint REVIEW | doi:10.20944/preprints202102.0082.v1

Online Identity Theft, Security Issues, and Reputational Damage

Sopna A/P Sinnathamby Sehgar, Zuriati Ahmad Zukarnain

Subject: Computer Science And Mathematics, Security Systems Keywords: identity theft; cyber-crime; identity fraud; types; techniques

Online: 2 February 2021 (10:31:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201611.0017.v1

Empirical Prediction of Turnovers in NFL Football

Joel Bock

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: machine learning; unbalanced data; predicting rare events; NFL football; sports analytics

Online: 2 November 2016 (07:07:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0146.v3

A Proof of the Riemann Hypothesis based on MacLaurin Expansion of the Completed Zeta Function

Weicun Zhang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Riemann Hypothesis (RH); Proof; Completed zeta function $\xi(s)$

Online: 20 August 2021 (11:52:39 CEST)

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Preprint REVIEW | doi:10.20944/preprints202006.0240.v2

COVID-19 Contact Tracing: Challenges and Future Directions

Mohammad Jabed Morshed Chowdhury, Md Sadek Ferdous, Kamanashis Biswas, Niaz Chowdhury, Vallipuram Muthukkumarasamy

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; contact tracing; privacy; proximity technologies

Online: 14 July 2020 (05:07:34 CEST)

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Computer Science and Mathematics