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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/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/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/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/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/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/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/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/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 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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Preprint ARTICLE | doi:10.20944/preprints202103.0623.v1

How Schools affected COVID-19 Pandemic in Italy: Data Analysis for Lombardy Region, Campania Region, and Emilia Region

Davide Tosi, Alessandro Siro Campi

Subject: Computer Science And Mathematics, Information Systems Keywords: SARS-CoV-2; Big Data; Data Analytics; Predictive Models; Schools

Online: 25 March 2021 (14:35:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0218.v1

Deep Learning: A Review

Rocio Vargas, Amir Mosavi, Ramon Ruiz

Subject: Computer Science And Mathematics, Information Systems Keywords: deep learning; machine learning; applied deep learning

Online: 10 October 2018 (11:37:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0093.v1

A Study about Non-Volatile Memories

DILEEP KUMAR

Subject: Computer Science And Mathematics, Information Systems Keywords: Non-volatile Memories; NAND Flash Memories; Storage Memories

Online: 29 July 2016 (13:40:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201906.0195.v1

A Novel Hybrid Segmentation Method with Particle Swarm Optimization and Fuzzy C-Mean Based On Partitioning the Image for Detecting Lung Cancer

Kavitha P., Prabakaran S.

Subject: Computer Science And Mathematics, Information Systems Keywords: adaptive bilateral; marker watershed; PSO; fuzzy C-mean; GLCM; SVM

Online: 20 June 2019 (09:22:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints201607.0012.v1

Analysis of Access Control Methods in Cloud Computing

Madhura Mulimani, Rashmi Rachh

Subject: Computer Science And Mathematics, Information Systems Keywords: role-based access control; attribute-based access control; attribute-based encryption

Online: 8 July 2016 (10:12:21 CEST)

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Preprint DATASET | doi:10.20944/preprints202206.0346.v1

A Dataset Containing Job Descriptions Suitable for NLP and NN Processing

Pieterbas Pluijmaekers, Francesco Lelli

Subject: Computer Science And Mathematics, Information Systems Keywords: dataset; NLP; Human Resource Management; classification; Job description

Online: 27 June 2022 (03:43:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201610.0094.v1

Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

Mafkereseb Kassahun Bekele, Rolf A. De By, Gaurav Singh

Subject: Computer Science And Mathematics, Information Systems Keywords: GIR; TIR; NLP; spatiotemporal information; temporal inference

Online: 22 October 2016 (10:55:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0486.v1

Intuitive Representation of Knowledge in Computable Form

Steven Vercruysse, Martin Kuiper

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

Online: 21 July 2020 (12:42:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201704.0086.v1

Citizen Science and Topology of Mind: Complexity, Computation and Criticality in Data-Driven Exploration of Open Complex Systems

Masatoshi Funabashi

Subject: Computer Science And Mathematics, Information Systems Keywords: inter-subjective objectivity; complexity measure; computational complexity; criticality; citizen science; open complex system;

Online: 14 April 2017 (10:51:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201612.0053.v1

Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty

Steve Dübel, Martin Röhlig, Christian Tominski, Heidrun Schumann

Subject: Computer Science And Mathematics, Information Systems Keywords: visualization; terrain rendering; geo-spatial data; uncertainty; prioritization

Online: 9 December 2016 (10:11:12 CET)

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Preprint REVIEW | doi:10.20944/preprints201804.0066.v1

Cybercrime and Risks for Cyber Physical Systems: A Review

Abel Yeboah-ofori, Jamal-Deen Abdulai, Ferdinand Katsriku

Subject: Computer Science And Mathematics, Information Systems Keywords: cyber physical systems; cybercrime; risk mitigation; risk management; industrial control systems

Online: 5 April 2018 (06:10:06 CEST)

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Cyber Physical Systems (CPS) is the integration of computation and physical process that makes a complete system such as the physical components, networked systems, embedded computers and software and linking together of devices and sensors for information sharing. Cyber Physical Systems are Smart Systems that comprises of the merging and integration of Industry Control Systems, Critical Infrastructures, Internet of Things (IoT) and Embedded Systems. Major industries such as the Chemical and Industrial Plants, Aviation Systems, National Grid, the Stock Exchange, Military Systems, and others depends heavily on these Cyber Physical Systems for financial and economic growth. The benefits of CPS nationally and globally are in the areas of Manufacturing, Energy, Transport, Healthcare and Communication. Cyber Physical Systems incorporates Physical systems, Digital systems and Human elements on network infrastructures to provide interactive systems. However, these three key components the Physical systems, Digital systems and Human elements may have inherent threats and vulnerabilities on them that may run the risk of being compromise, exploited, attacked or hacked. Cybercriminals in their quest to bring down these systems and may cause disruption of services either for fame, revenge, political motive, economic war, cyber terrorism and cyber war. The study seeks to review the risks that are associated with these three key components Physical systems, Digital systems and Human elements. The study considered four main risk mitigation goals for this purpose, and these are Business Value, Organizational Requirements, Threat Agent and Impact based on the review results. We used Analytical Hierarchical Process (AHP) to determine the relative importance of these goals that contributes to developing cybercrime and rich in CPS. For the results, the prioritized goals are then used to assess the risks using a semi-quantitative approach to determine the net threat level.

Preprint ARTICLE | doi:10.20944/preprints201611.0054.v1

A Hierarchal Risk Assessment Model using the Evidential Reasoning Rule

Xiaoxiao Ji, Jiang Jiang, Jianbin Sun, Yu-wang Chen

Subject: Computer Science And Mathematics, Information Systems Keywords: Risk assessment; Evidential reasoning; Fire/explosion

Online: 9 November 2016 (10:29:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202006.0214.v1

COVID-19 India Prediction Model Based on the Trend from Other Countries

Satya Prakash, Pinakana Sai Deepak

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; Prediction model; Pandemic bell curve; India; Different scenarios

Online: 17 June 2020 (09:40:23 CEST)

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Preprint REVIEW | doi:10.20944/preprints202103.0216.v1

Machine Learning: Algorithms, Real-World Applications and Research Directions

Iqbal H. Sarker

Subject: Computer Science And Mathematics, Information Systems Keywords: machine learning; deep learning; artificial intelligence; data science; data-driven decision making; predictive analytics; intelligent applications;

Online: 8 March 2021 (12:55:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0276.v1

A Brief History of Cloud Application Architectures: From Deployment Monoliths via Microservices to Serverless Architectures and Possible Roads Ahead

Nane Kratzke

Subject: Computer Science And Mathematics, Information Systems Keywords: cloud computing; service-oriented architecture; SOA; cloud-native; serverless; microservice; container; unikernel; distributed cloud; P2P; service-to-service; service-mesh

Online: 16 July 2018 (10:57:39 CEST)

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This paper presents a review of cloud application architectures and its evolution. It reports observations being made during the course of a research project that tackled the problem to transfer cloud applications between different cloud infrastructures. As a side effect we learned a lot about commonalities and differences from plenty of different cloud applications which might be of value for cloud software engineers and architects. Throughout the course of the research project we analyzed industrial cloud standards, performed systematic mapping studies of cloud-native application related research papers, performed action research activities in cloud engineering projects, modeled a cloud application reference model, and performed software and domain specific language engineering activities. Two major (and sometimes overlooked) trends can be identified. First, cloud computing and its related application architecture evolution can be seen as a steady process to optimize resource utilization in cloud computing. Second, this resource utilization improvements resulted over time in an architectural evolution how cloud applications are being build and deployed. A shift from monolithic servce-oriented architectures (SOA), via independently deployable microservices towards so called serverless architectures is observable. Especially serverless architectures are more decentralized and distributed, and make more intentional use of independently provided services. In other words, a decentralizing trend in cloud application architectures is observable that emphasizes decentralized architectures known from former peer-to-peer based approaches. That is astonishing because with the rise of cloud computing (and its centralized service provisioning concept) the research interest in peer-to-peer based approaches (and its decentralizing philosophy) decreased. But this seems to change. Cloud computing could head into future of more decentralized and more meshed services.

Preprint ARTICLE | doi:10.20944/preprints201901.0305.v1

Secure IoT Network Structure Based on Distributed Fog Computing, with SDN/Blockchain

Ammar Muthanna, Abdelhamied A. Ateya, Abdukodir Khakimov, Irina Gudkova, Abdelrahman Abuarqoub, Konstantin Samouylov, Andrey Koucheryavy

Subject: Computer Science And Mathematics, Information Systems Keywords: Internet of Things; fog computing; security; blockchain; traffic; latency; SDN; OpenFlow

Online: 30 January 2019 (07:17:57 CET)

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IoT is a new communication paradigm that gains a very high importance in the past few years. This communication paradigm supports various heterogeneous applications in many fields and with the dramatic increase of the number of sensor devices, it becomes a demand. Designing IoT networks faces many challenges that include security, massive traffic, high availability, high reliability and energy constraints. Thus, new communication technologies and paradigms should be deployed for IoT networks to overcome these challenges and achieve high system performance. Distributed computing techniques (e.g. fog and MEC), software defined networking (SDN), network virtualization and blockchain are common recent paradigms that should be deployed for IoT networks, either combined or individually, to achieve the main requirements of the IoT networks at a high system performance. Fog computing is a form of edge computing that has been developed to provide the computing capabilities (e.g. storage and processing) at the edge of the access network. Employing Fog computing in IoT networks, as an intermediate layer between IoT devices and the remote cloud, becomes a demand to make use of the edge computing benefits. In this work, we provide a framework for the IoT system structure that employs an edge computing layer of Fog nodes controlled and managed by SDN network with the blockchain technology to achieve a high level of security for latency sensitive IoT applications. The proposed system employs SDN network with distributed controllers and distributed OpenFlow switches; these switches are enabled with limited computing and processing capabilities. Furthermore, a data offloading algorithm is developed to allocate different processing and computing tasks to the distributed OpenFlow switches with available resources. Moreover, a traffic model is proposed to model and analyze the traffic among different parts of the network. The proposed work achieves various benefits to the IoT network, such as the latency reduction, security improvement and high efficiency of resources utilization. The proposed algorithm is simulated and also the proposed system is experimentally tested over a developed testbed to validate the proposed structure. Experimental results show that the proposed system achieves higher efficiency in terms of latency, security and resource utilization.

Preprint ARTICLE | doi:10.20944/preprints201901.0198.v1

Dark Proteome Database: Studies on Dark Proteins

Nelson Perdigão

Subject: Computer Science And Mathematics, Information Systems Keywords: Dark Proteome, Molecular Structure, Homology Modelling

Online: 21 January 2019 (08:50:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0142.v1

Incremental Learning for Large Scale Churn Prediction

Sergio Hernandez, Diego Vergara, Felipe Jorquera

Subject: Computer Science And Mathematics, Information Systems Keywords: churn prediction; incremental principal component analysis; stochastic gradient descent

Online: 13 August 2016 (11:28:39 CEST)

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Preprint REVIEW | doi:10.20944/preprints201909.0117.v1

A Taxonomy of Blockchain Threats and Vulnerabilities

Ayman Alkhalifah, Alex Ng, A. S. M. Kayes, Jabed Chowdhury, Mamoun Alazab, Paul Watters

Subject: Computer Science And Mathematics, Information Systems Keywords: blockchain; cybersecurity; attacks; threats; vulnerability

Online: 11 September 2019 (05:40:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201611.0082.v1

A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks

Fengjun Shang, Yi Jiang, Anping Xiong, Wen Su, Li He

Subject: Computer Science And Mathematics, Information Systems Keywords: WSN; RSSI; Voronoi diagram; vector similar degrees; Lagrange

Online: 16 November 2016 (13:10:52 CET)

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With the integrated development of the Internet, wireless sensor technology, cloud computing, and mobile Internet, there has been a lot of attention given to research about and applications of the Internet of Things. A Wireless Sensor Network (WSN) is one of the important information technologies in the Internet of Things; it integrates multi-technology to detect and gather information in a network environment by mutual cooperation, using a variety of methods to process and analyze data, implement awareness, and perform tests. This paper mainly researches the localization algorithm of sensor nodes in a wireless sensor network. Firstly, a multi-granularity region partition is proposed to divide the location region. In the range-based method, the RSSI (Received Signal Strength indicator, RSSI) is used to estimate distance. The optimal RSSI value is computed by the Gaussian fitting method. Furthermore, a Voronoi diagram is characterized by the use of dividing region. Rach anchor node is regarded as the center of each region; the whole position region is divided into several regions and the sub-region of neighboring nodes is combined into triangles while the unknown node is locked in the ultimate area. Secondly, the multi-granularity regional division and Lagrange multiplier method are used to calculate the final coordinates. Because nodes are influenced by many factors in the practical application, two kinds of positioning methods are designed: the unknown node is in the positioning unit or not. When the unknown node is on the side of the positioning unit, we use the method of vector similarity. Moreover, we use the centroid algorithm to calculate the ultimate coordinates of unknown node. When the unknown node is not on the side of the positioning unit, we establish a Lagrange equation containing the constraint condition to calculate the first coordinates. Furthermore, we use the Taylor expansion formula to correct the coordinates of the unknown node. In addition, this localization method has been validated by establishing the real environment.

Preprint ARTICLE | doi:10.20944/preprints201809.0454.v1

SVDB: a Comprehensive Domain Specific Database of Snake Venom Toxins Generated Through NCBI

Md. Hossain, Ataul Haque, Sayeda Mazid, Abira Khan, Tomalika Ullah, Sarker Rumee, J Jesmin

Subject: Computer Science And Mathematics, Information Systems Keywords: Venom; toxins; NCBI; database

Online: 24 September 2018 (12:00:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0052.v1

Simplified Swarm Optimization Based Function Modules Detection in Protein-to-Protein Interaction Networks

Xianghan Zheng, Lingting Wu, Shaozhen Ye, Riqing Chen

Subject: Computer Science And Mathematics, Information Systems Keywords: protein–protein interaction networks; protein function module; simplified swarm optimization

Online: 15 February 2017 (10:17:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints201701.0090.v1

An Automatic Matcher and Linker for Transportation Datasets

Ali Masri, Karine Zeitouni, Zoubida Kedad, Bertrand Leroy

Subject: Computer Science And Mathematics, Information Systems Keywords: transportation data; data interlinking; automatic schema matching

Online: 20 January 2017 (03:38:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0660.v1

Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm

Sang Hyuk Kim, Hee Soo Lee, Hanjun Ko, Seung Hwan Jeong, Hyun Woo Byun, Kyong Joo Oh

Subject: Computer Science And Mathematics, Information Systems Keywords: dynamic time warping; pattern matching trading system; time series data; sliding window

Online: 29 October 2018 (07:03:51 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints201608.0039.v1

How Thumbelina Knows

Giorgio De Michelis

Subject: Computer Science And Mathematics, Information Systems Keywords: knowledge management; tacit knowledge; explicit knowledge

Online: 4 August 2016 (08:30:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201708.0055.v1

A Survey of Data Processing of EMR (Electronic Medical Record) Based on Data Mining

Wencheng Sun, Fang Liu, Zhiping Cai, Shengqun Fang, Guoyan Wang

Subject: Computer Science And Mathematics, Information Systems Keywords: EMR; data preprocessing; text mining; information extraction; medical decision support system

Online: 15 August 2017 (05:46:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201702.0074.v1

v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centres

Aaqif Afzaal Abbasi, Hai Jin

Subject: Computer Science And Mathematics, Information Systems Keywords: network; systems; cloud computing; data centre; performance; software-defined; virtual machine; scheduling; admission control; application-aware;

Online: 20 February 2017 (04:56:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201611.0033.v1

Construct Linear Polynomial Complementary Transformation for NP-Completeness Using Parallel Genetic Algorithm

Tarik Eltaeib, Julius Dichter

Subject: Computer Science And Mathematics, Information Systems Keywords: genetic algorithms; parallel computation; computational complexity; algorithms; optimization techniques; traveling salesman problem; NP-Hard problems; Berlin-52 data set; machine learning; linear regression

Online: 7 November 2016 (04:57:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints201611.0116.v1

Evaluation of Diversification Techniques for Legal Information Retrieval

Marios Koniaris, Ioannis Anagnostopoulos, Yannis Vassiliou

Subject: Computer Science And Mathematics, Information Systems Keywords: diversity; algorithms; legal information retrieval

Online: 23 November 2016 (09:50:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201703.0152.v1

Face Verification with Multi-Task and Multi-Scale Features Fusion

Xiaojun Lu, Yue Yang, Weilin Zhang, Qi Wang, Yang Wang

Subject: Computer Science And Mathematics, Information Systems Keywords: deep convolutional neural networks; identification; semi-verification; multi-scale features; face verification

Online: 20 March 2017 (09:06:18 CET)

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Preprint ARTICLE | doi:10.3390/sci2020022

How to Achieve Compliance with GDPR Article 17 in a Hybrid Cloud Environment

Miriam Kelly, Eoghan Furey, Kevin Curran

Subject: Computer Science And Mathematics, Information Systems Keywords: privacy; general data protection regulation; security; cloud security

Online: 2 April 2020 (00:00:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202010.0649.v1

Modern Clinical Text Mining: A Guide and Review

Bethany Percha

Subject: Computer Science And Mathematics, Information Systems Keywords: text mining; natural language processing; electronic health records; clinical text; machine learning

Online: 30 October 2020 (15:01:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201706.0036.v1

Two-Factor Authentication and Its Adaptation to Online Education Systems

Elif Karakaş, İlhan Öztozlu, Volkan Erol

Subject: Computer Science And Mathematics, Information Systems Keywords: two-factor authentication; online training; biological and behavioral features; mimic control method with sound intensity

Online: 6 June 2017 (09:04:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0164.v2

Calculating Hamming Distance with the IBM Q Experience

José Manuel Bravo

Subject: Computer Science And Mathematics, Information Systems Keywords: quantum algorithm; Hamming weight; Hamming distance

Online: 16 April 2018 (08:12:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0166.v2

Using the Quantization Error from Self-Organizing Map (SOM) Output for Fast Detection of Critical Variations in Image Time Series

Birgitta Dresp-Langley, John Mwangi Wandeto, Henry Okola Nyongesa

Subject: Computer Science And Mathematics, Information Systems Keywords: satellite images; image analysis; self organizing maps; quantization error; structural change; demographic data

Online: 20 March 2018 (10:38:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0325.v1

Challenges and Opportunities in Mobile Cloud Computing

A K M Bahalul Haque, Samira Mahmood, Maruf Ahmed, Md. Hayder Ali, Nafisa Mahbub Piyal

Subject: Computer Science And Mathematics, Information Systems Keywords: Mobile Cloud Computing; Cloud Computing; Security and Computing Power

Online: 20 May 2020 (10:17:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0076.v2

Addressing Complexities of Machine Learning in Big Data: Principles, Trends and Challenges from Systematical Perspectives

Qi Wang, Xia Zhao, Jincai Huang, Yanghe Feng, Jiahao Su, Zhihao Luo

Subject: Computer Science And Mathematics, Information Systems Keywords: big data; machine learning; regularization; data quality; robust learning framework

Online: 17 October 2017 (03:47:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0536.v1

Characterizing Female Workplace Bullying via Social Media

Samara Ahmed, Adil E. Rajput, Akila Sarirete, Rahaf Bahwireth, Asayil Almehmadi, Weaam Khimi

Subject: Computer Science And Mathematics, Information Systems Keywords: Big Data; Natural Language Processing; Social Media; Female Workplace Bullying, Crowdsourcing; Social Computing

Online: 25 August 2020 (04:13:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201704.0174.v1

Hierarchical Image Retrieval by Multi-Feature Fusion

Xiaojun Lu, Jiaojuan Wang, Yingqi Hou, Mei Yang, Qi Wang, Xiangde Zhang

Subject: Computer Science And Mathematics, Information Systems Keywords: Hierarchical search; Image retrieval; Multi-feature fusion

Online: 26 April 2017 (18:51:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0028.v1

A Segment-Based Trajectory Similarity Measure in the Urban Transportation Systems

Yingchi Mao, Haishi Zhong, Xianjian Xiao, Xiaofang Li

Subject: Computer Science And Mathematics, Information Systems Keywords: GPS trajectory; GPS sensor; trajectory similarity measure; spatial-temporal data

Online: 6 March 2017 (06:51:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0117.v1

Mining Productive-associated Periodic Frequent Pattern in Body Sensor Data for Smart Home Care

Wala Ismail , Mohammad Mehedi Hassan

Subject: Computer Science And Mathematics, Information Systems Keywords: Body sensor network; Smart home, knowledge discovery in BSN data; frequent patterns; periodic patterns and productive pattern.

Online: 18 April 2017 (18:15:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0199.v1

Pokémon GO Forensics: An Android Application Analysis

Joshua Sablatura, Umit Karabiyik

Subject: Computer Science And Mathematics, Information Systems Keywords: digital forensic tool, mobile application forensics, geolocation, Upsight, Pokémon GO, Pokémon GO Plus

Online: 29 May 2017 (11:21:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0191.v1

A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses: Objective Optima for False Discovery Rate and Significance Threshold in Exploratory Research with Application to Ordinal Survey Analysis

Amir hassan Ghaseminejad tafreshi

Subject: Computer Science And Mathematics, Information Systems Keywords: High-dimensional data analysis, Multiple hypothesis testing, False discovery rate, Optimum significance threshold, Maximum for reasonable number of rejected hypotheses, Big data analysis

Online: 24 March 2017 (18:29:35 CET)

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Preprint REVIEW | doi:10.20944/preprints202006.0240.v1

COVID-19 Contact Tracing: Current States 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: 19 June 2020 (11:36:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0328.v1

Comparison of Classification Models for Breast Cancer Identification using Google Colab

SUNDARAMBAL BALARAMAN

Subject: Computer Science And Mathematics, Information Systems Keywords: classification; machine learning; breast cancer

Online: 20 May 2020 (10:53:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0299.v1

Applying Artificial Intelligence Techniques for Prediction of Neurodegenerative Disorders: A Comparative Case-Study on Clinical Tests and Neuroimaging Tests with Alzheimer’s Disease

Ahmed Abdullah Farid, Gamal Selim, Hatem Khater

Subject: Computer Science And Mathematics, Information Systems Keywords: Data Mining; Alzheimer’s Dementia; Composite Hybrid Feature Selection; Machine learning; stack ‎Hybrid Classification; AI; MRI; Neuroimaging; MPEG7 edge histogram feature extraction; CNN

Online: 19 March 2020 (11:25:01 CET)

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Alzheimer's disease (AD) detection acting as an essential role in global health care due to misdiagnosis and sharing many clinical sets with other types of dementia, and costly monitoring the progression of the disease over time by magnetic reasoning imaging (MRI) with consideration of human error in manual reading. This paper goal a comparative study on the performance of data mining techniques on two datasets of Clinical and Neuroimaging Tests with AD. Our proposed model in the first stage, Apply clinical medical dataset to a composite hybrid feature selection (CHFS), for extract new features to select the best features due to eliminating obscures features, In parallel with Apply a novel hybrid feature extraction of three batch edge detection algorithm and texture from MRI images dataset and optimized with fuzzy 64-bin histogram. In the second stage, we applied a clinical dataset to a stacked hybrid classification(SHC) model to combine Jrip and random forest classifiers with six model evaluations as meta-classifier individually to improve the prediction of clinical diagnosis. At the same stage of improving the classification accuracy of neuroimaging (MRI) dataset images by applying a convolution neural network (CNN) in comparison with traditional classifiers, running on extracted features from images. The authors have collected the clinical dataset of 426 subjects with (1229 potential patient sample) from oasis.org and (MRI) dataset from a benchmark kaggle.com with a total of around ~5000 images each segregated into the severity of Alzheimer's. The datasets evaluated using an explorer set of weka data mining software for the analysis purpose. The experimental show that the proposed model of ‏(CHFS) feature extraction ‏ lead to effectively reduced the false-negative rate with a relatively high overall accuracy with a stack hybrid classification of support vector machine (SVM) as meta-classifier of 96.50% compared to 68.83% of the previous result on a clinical dataset, Besides a compared model of CNN classification on MRI images dataset of 80.21%. The results showed the superiority of our CHFS model in predicting Alzheimer's disease more accurately with the clinical medical dataset in early-stage compared with the neuroimaging (MRI) dataset. The results of the proposed model were able to predict with accurately classify Alzheimer's clinical samples at a low cost in comparison with the MRI-CNN images model at the early stage and get a good indicator for high classification rate for MRI images when applying our proposed model of SHC.

Preprint REVIEW | doi:10.20944/preprints202010.0649.v2

Modern Clinical Text Mining: A Guide and Review

Bethany Percha

Subject: Computer Science And Mathematics, Information Systems Keywords: text mining; natural language processing; electronic health records; clinical text; machine learning

Online: 3 February 2021 (10:31:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints201706.0002.v1

Assessing Probabilistic Inference by Comparing the Generalized Mean of the Model and Source Probabilities

Kenric P. Nelson

Subject: Computer Science And Mathematics, Information Systems Keywords: probability; inference; information theory; Bayesian; generalized mean

Online: 1 June 2017 (05:49:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0298.v1

A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer Detection

Ahmed Abdullah Farid, Gamal Selim, Hatem Khater

Subject: Computer Science And Mathematics, Information Systems Keywords: Data Mining; Breast Cancer; Hybrid Feature Selection; Machine learning; Support Vector Machine; Optimize Genetic Algorithm; boosting algorithms

Online: 19 March 2020 (11:13:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0318.v1

Feeling Like It Is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Yana Samuel, Alexander Pelaez

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; Coronavirus; reopen; textual analytics; sentiment analysis; feeling; recovery

Online: 20 May 2020 (04:19:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0043.v1

Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint

Hea-Jung Kim

Subject: Computer Science And Mathematics, Information Systems Keywords: Bayesian reliability analysis; Bayesian hierarchical model; MCMC method; scale mixtures of log-normal failure time model; stochastic constraint; two-stage MaxEnt prior.

Online: 4 May 2017 (16:26:10 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202206.0252.v1

An Efficient Global Scale Sentinel-1 Radar Backscatter and Interferometric Processing System

Piyush S. Agram, Michael S. Warren, Matthew T. Calef, Scott A. Arko

Subject: Computer Science And Mathematics, Information Systems Keywords: SAR; InSAR; Sentinel-1; Big data

Online: 17 June 2022 (09:00:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0416.v1

HyperDbg: Reinventing Hardware-Assisted Debugging

Mohammad Sina Karvandi, Mohammad Hosein Gholamrezaei, Saleh Khalaj Monfared, Soroush Medi, Behrooz Abbassi, Ali Amini, Reza Mortazavi, Saeid Gogin, Dara Rahmati, Michael Schwarz

Subject: Computer Science And Mathematics, Information Systems Keywords: Hypervisor; Debugging; Kernel-debugger; Fuzzing

Online: 31 May 2022 (09:41:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201802.0102.v1

Pavement Damage Crack Recognition Method Based on High-Resolution Linear Array Cameras and Adaptive Lifting Algorithm

Yi Han, Shiwei Tu, Yanyu Yang, Ke Lei, Chunlei Liu

Subject: Computer Science And Mathematics, Information Systems Keywords: line array cameras; pavement crack detection; feature analysis; adaptive lifting

Online: 15 February 2018 (16:41:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0069.v1

On the Anonymity Risk of Time-Varying User Profiles

Silvia Puglisi, Jordi Forné, David Rebollo-Monedero

Subject: Computer Science And Mathematics, Information Systems Keywords: privacy; anonymity risk; dynamic user profile, online footprints

Online: 13 April 2017 (04:46:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0162.v1

CDS Rate Construction Methods by Machine Learning Techniques

Raymond Brummelhuis, Zhongmin Luo

Subject: Computer Science And Mathematics, Information Systems Keywords: machine learning; Counterparty Credit Risk; CDS Proxy construction; classification

Online: 22 May 2017 (08:21:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0060.v1

Bandwidth Estimation Tools and Techniques: A Review

Mukta Airon, Neeraj Gupta

Subject: Computer Science And Mathematics, Information Systems Keywords: available bandwidth estimation techniques; active bandwidth estimation techniques; passive bandwidth estimation techniques; model based bandwidth estimation techniques

Online: 10 October 2017 (10:37:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0258.v1

A Multi-Resolution Approach for Audio Classification

Sergey Voronin, Alexander Grushin

Subject: Computer Science And Mathematics, Information Systems Keywords: audio classification; multi-resolution analysis; LSTM; auto-ml

Online: 20 April 2018 (04:30:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0442.v1

Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective

Iqbal H. Sarker

Subject: Computer Science And Mathematics, Information Systems Keywords: data science; advanced analytics; machine learning; deep learning; smart computing; decision-making; predictive analytics; data science applications;

Online: 16 April 2021 (11:28:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0251.v1

TF-IDF Feature-Based Spam Filtering of Mobile SMS Using Machine Learning Approach

Syed Md. Minhaz Hossain, Khaleque Md. Aashiq Kamal, Anik Sen, Iqbal H. Sarker

Subject: Computer Science And Mathematics, Information Systems Keywords: Spam detection; SMS; Security; Machine learning

Online: 15 September 2021 (09:42:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201712.0192.v1

A Segmentation Model for Extracting Farmland and Woodland from Remote Sensing Image

Chengming Zhang, Shujing Wan, Shuai Gao, Fan Yu, Qingdi Wei, Guang Wang, Qing Cheng, Dejuan Song

Subject: Computer Science And Mathematics, Information Systems Keywords: convolutional ceural network; Gaofen 2 remote sensing image; remote sensing image segmentation; convolutional encode neural networks model (CENN); categorical learning; per-pixel segmentation; farmland; woodland

Online: 28 December 2017 (02:54:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0068.v1

IMU-Aided Dual-Frequency RFID Based Localization in LOS/NLOS Hybrid Environment

Jie Wu, MingHua Zhu, Bo Xiao, Wei He

Subject: Computer Science And Mathematics, Information Systems Keywords: dual-frequency RFID; indoor localization; non line of sight; received signal strength; inertial measurement unit

Online: 15 September 2017 (14:18:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202001.0359.v1

Internet of Things in Health Care: The Social, Ethical, Legal and Professional Implications

Otobong Inieke

Subject: Computer Science And Mathematics, Information Systems Keywords: Internet of things; healthcare; ethics; data privacy

Online: 30 January 2020 (10:51:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0156.v1

Real Time Human Detection and Localization Using Consumer Grade Camera and Commercial UAV

Nemi Bhattarai, Tai Nakamura, Chitrini Mozumder

Subject: Computer Science And Mathematics, Information Systems Keywords: Unmanned Aerial Vehicle (UAV), Haar-like features, real time, Geographic Information Systems (GIS), human detection, geolocation error, OpenCV

Online: 7 November 2018 (09:41:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0153.v1

Visualizing the Provenance of Personal Data using Comics

Andreas Schreiber, Regina Struminski

Subject: Computer Science And Mathematics, Information Systems Keywords: provenance; quantified self; personal informatics; visualization; comics

Online: 21 December 2017 (05:40:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints201711.0020.v1

A Measure of Information Available for Prediction

Takuya Isomura

Subject: Computer Science And Mathematics, Information Systems Keywords: the free-energy principle; internal model hypothesis; unconscious inference; infomax principle; predictive information; independent component analysis; principal component analysis

Online: 2 November 2017 (15:14:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints201706.0115.v1

Fair: A Hadoop-based Hybrid Model for Faculty Information Retrieval System

Harishchandra Dubey

Subject: Computer Science And Mathematics, Information Systems Keywords: big data,；Hadoop； visualization； model

Online: 26 June 2017 (06:07:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0033.v1

SRRTC: Social Recommendation Based on Relationship Transmission with Convergence Algorithm

Huakang Li, Yixiong Bian, Xiuying Xu, Guozi Sun

Subject: Computer Science And Mathematics, Information Systems Keywords: social recommendation; relationship graph; micro relation transfer model; macro relation transfer model; monte carlo decision tree

Online: 6 November 2017 (06:36:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201906.0185.v1

Fair Exchange and Anonymous E-Commerce by Deploying Clone-Resistant Tokens

Ayoub Mars, Wael Adi

Subject: Computer Science And Mathematics, Information Systems Keywords: anonymous e-commerce; e-payment; fair exchange; anonymity; hardware tokens; secret unknown cipher; physical unclonable functions

Online: 19 June 2019 (12:39:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0003.v1

Strategies to Automatically Derive A Process Model From A Configurable Process Model Based on Event Data

Mauricio Arriagada-Benítez, Marcos Sepúlveda, Jorge Munoz-Gama, Joos C. A. M. Buijs

Subject: Computer Science And Mathematics, Information Systems Keywords: business workflows; discrete event systems; event logs; configurable process models; configurable process trees; process mining; business processes

Online: 1 September 2017 (17:14:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0016.v1

Earth Observation for Citizen Science Validation, or, Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations

Didier Leibovici, Jamie Williams, Julian Rosser, Crona Hodges, Colin Chapman, Chris Higgins, Mike Jackson

Subject: Computer Science And Mathematics, Information Systems Keywords: citizen science; volunteered geographical information; metadata; data quality; quality assurance; scientific workflow; provenance; metaquality; open data

Online: 3 October 2017 (13:52:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0460.v1

Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz

Subject: Computer Science And Mathematics, Information Systems Keywords: Wikipedia; reference; source; reliability; popularity; Wikidata, DBpedia

Online: 31 March 2020 (22:18:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0106.v1

Controlling Characteristics of the Slot Wave by Virtual Capacity Setting: LIP Solving Slot Allocation Based on Data Splitting Method

ZhiJian Ye, Wenpeng Zhai, Xinxin Zheng, Shihao Huang

Subject: Computer Science And Mathematics, Information Systems Keywords: slot allocation; characteristics of slot wave; capacity setting; data feeding methods; linear integer programming

Online: 10 September 2019 (07:52:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0386.v1

Evaluating GraphQL and REST API Services Performance in a Massive and Intensive Accessible Information System

Armin Lawi, Benny L. E. Panggabean, Takaichi Yoshida

Subject: Computer Science And Mathematics, Information Systems Keywords: information systems; middleware applications; Application Programming Interfaces (APIs); web services; Quality of Services (QoS); performance evaluation

Online: 22 September 2021 (13:29:56 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202005.0330.v1

Identity Theft in South-East Asia: Causes and Precautions

A K M Bahalul Haque, Rabeya Sultana, MOHAMMAD SAJID FAHAD, TALEBUL ISLAM

Subject: Computer Science And Mathematics, Information Systems Keywords: digital footprint; exploit; identity theft; technology

Online: 20 May 2020 (11:14:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0206.v1

Energy and Memory Efficient Data Loss Prevention in Wireless Sensor Networks

Pooya Hejazi, Gianluigi Ferrari

Subject: Computer Science And Mathematics, Information Systems Keywords: storage and retrieval processes; load-balancing; fault tolerance; energy efficiency; memory efficiency; data loss

Online: 11 July 2018 (14:47:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0311.v1

A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions

Leila Ismail, Huned Materwala

Subject: Computer Science And Mathematics, Information Systems Keywords: Blockchain, Consensus, Hash functions, Privacy, Replication, Scalability

Online: 29 August 2019 (12:28:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0256.v1

Deep Learning for Stock Market Prediction

Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, Shahab Shamshirband, Amir Mosavi

Subject: Computer Science And Mathematics, Information Systems Keywords: stock market prediction; machine learning; regressor models; tree-based methods; deep learning

Online: 16 March 2020 (01:45:16 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints201811.0256.v1

A Probability Density Function Generator Based on Deep Learning

Chi-Hua Chen, Fangying Song, Feng-Jang Hwang, Ling Wu

Subject: Computer Science And Mathematics, Information Systems Keywords: probability density function; cumulative distribution function; deep learning

Online: 12 November 2018 (04:00:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0103.v1

A Study on Minimum Sigma Set SRUKF Based GPS/INS Tightly-Coupled System

Maosong Wang, Xiaofeng He, Wenqi Wu, Zhenbo Liu

Subject: Computer Science And Mathematics, Information Systems Keywords: reduced sigma set Square-Root Unscented Kalman Filter; pseudo-satellite; UAV; GPS/INS tightly-coupled system

Online: 16 October 2017 (06:35:24 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints201803.0054.v1

Travel Time Prediction Based on Data Feature Selection and Data Clustering Methods

Chi-Hua Chen

Subject: Computer Science And Mathematics, Information Systems Keywords: data feature selection; data clustering; travel time prediction

Online: 7 March 2018 (13:30:06 CET)

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Preprint REVIEW | doi:10.20944/preprints201712.0182.v4

Mitigating Challenges of Open Government Data

Nim Dvir

Subject: Computer Science And Mathematics, Information Systems Keywords: open access initiative; challenges of data sharing; data management; open government data; human-computer interaction; documentation; human factors; standardization; information policy

Online: 17 January 2018 (11:09:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0236.v1

Content-based Spam Email Detection Using N-gram Machine Learning Approach

Nusrat Jahan Euna, Syed Md. Minhaz Hossain, Md. Musfique Anwar, Iqbal H. Sarker

Subject: Computer Science And Mathematics, Information Systems Keywords: Spam Detection; Feature extraction; N-grams; Machine Learning

Online: 14 September 2021 (11:36:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201803.0217.v1

ReSOLV: Applying Cryptocurrency Blockchain Methods to Enable Global Cross-platform Software License Validation

Alan Litchfield, Jeff Herbert

Subject: Computer Science And Mathematics, Information Systems Keywords: Software protection, Privacy, Innovation and Technology, Web Services Modeling, Distributed Objects, Services Software, Cryptographic Controls, Authentication, Data Encryption

Online: 26 March 2018 (13:18:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0151.v3

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

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

Subject: Computer Science And Mathematics, Information Systems Keywords: deep learning; CNN; DenseNet; COVID-19; transfer learning

Online: 18 February 2022 (14:44:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0062.v1

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Csaba Veres

Subject: Computer Science And Mathematics, Information Systems Keywords: cognitive computing; cognition; AI; cognitive symbiosis; language; HCI

Online: 15 September 2017 (10:31:26 CEST)

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Preprint REVIEW | doi:10.20944/preprints202007.0701.v1

Opportunities and Challenges to Implementation of LIFI

Mohammad Abdullah, Sameed ul Hussan, Salman Safdar

Subject: Computer Science And Mathematics, Information Systems Keywords: LIFI; WIFI; VLC; LED; IOT

Online: 29 July 2020 (17:33:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0269.v1

Sensing Earthquake Disaster Information: A Named Entity Recognition Approach Using Twitter Collaborative Data

Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Victor Sanchez

Subject: Computer Science And Mathematics, Information Systems Keywords: social sensing; supervised learning; statistical methods; social networks; twitter; tweets; natural disaster; random forest, kernel density estimation

Online: 15 August 2018 (11:34:43 CEST)

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Computer Science and Mathematics