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Preprint ARTICLE | doi:10.20944/preprints202208.0188.v1

User Authentication and Authorization Framework in IoT Protocols

Hasan Al-refai, Ali Alawneh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Internet of Things; security protocol; authentication; authorization; networks

Online: 10 August 2022 (04:11:00 CEST)

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The Internet of Things (IoT) has become one of the most attractive domains nowadays. It works by creating a special network between physical devices such as vehicles, home equipment, and other items. In recent days, the common technologies of communication such as Wi-Fi and 2G/3G/4G cellular are insufficient for the IoT networks because they are designed to serve appliances with immense processing capabilities such as laptops and PCs. Moreover, most of these technologies are centralized and use an existing infrastructure. Currently, the new communication technologies such as Z-Wave, 6LowPAN, and Thread are dedicated to the IoT and have been developed to meet its requirements. These technologies can handle many factors such as range, data requirements, security, power demands, and battery life. Nevertheless, the security issues in IoT systems have major concerns and matters because vulnerabilities in such systems may result in fatal catastrophes. In this paper, an enhanced IoT security framework for authentication and authorization is proposed and implemented to protect the IoT protocols from different types of attacks such as man-in-the-middle attack, reply attack, and brute force attack. The proposed framework combines an enhanced token authentication that has identity verification capabilities and a new sender verification mechanism on the IoT device side based on time stamp, which in turn can mitigate the need for local identity verification methods in IoT devices. The proposed IoT security framework is tested using security analysis with different types of attacks compared with previous related frameworks. The analysis shows the high capability of the proposed framework to protect IoT networks against many types of attacks compared with current available security frameworks. Finally, the proposed framework is developed using Windows application to simulate the framework phases, check its validity through the real network, and calculate the payload time is adds.

Preprint ARTICLE | doi:10.20944/preprints202207.0389.v1

Comparison of Modern Cryptography Methods

Amandip Dutta

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: cryptography, elgamal, rsa, ecc, blowfish, encryption, decryption

Online: 26 July 2022 (06:03:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0283.v1

Impact of Information Technology on Society in the New Century

Muhammad Azam, Muhammad Nouman, Ahsan Rehman Gill

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: information technology; impact; society; future

Online: 19 July 2022 (09:50:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0279.v1

Experiments with B92 Quantum Key Distribution Algorithm Implementation

Ayush Gopal

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: quantum cryptography; quantum physics; quantum key distribution (QKD); B92 protocol; eavesdropper detection method; qubit; photon polarization

Online: 19 July 2022 (07:10:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0042.v1

A Novel Web-Based eMemo for Tertiary Institutions in Developing Nations: From Conceptualization to Implementation

Olusola Olabanjo

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: e-record; COVID-19 era; electronic memorandum; e-memo; ICT; university administration

Online: 4 July 2022 (08:51:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0217.v1

A Frame Work Design of Chicken-Sine Cosine Algorithm-based Deep Belief Network for Lung Nodule Segmentation and Cancer Detection

Beena Bethel GN, N. Sirisha, B. Kezia Rani, Srikanth Bethu

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Chicken-sine Cosine algorithm; Deep Belief Network; Lung nodule detection

Online: 15 June 2022 (09:02:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0134.v1

Will Artificial Intelligence Become Conscious? Can Thermodynamics Explain the Evolution of Intellect?

Eva Deli

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: deep neural networks; artificial intelligence; intelligent computation; orthogonal transformation; entropy; Carnot cycle

Online: 10 May 2022 (10:05:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0234.v1

Automatic Detection of Stop Words for Texts in the Uzbek Language

Khabibulla Madatov, Shukurla Bekchanov, Jernej Vičič

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: stop word detection; Uzbek language; agglutinative language; algorithm

Online: 26 April 2022 (10:30:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0252.v3

Optimal Covert Communication Technology

Moses Okello

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Steganography; Cryptography; Algorithm; Combinatorial; Permutation

Online: 31 January 2022 (12:57:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0457.v1

Investigating Transfer Learning in Graph Neural Networks

Nishai Kooverjee, Steven James, Terence Van Zyl

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: graph neural networks; machine learning; transfer learning; multi-task learning

Online: 31 January 2022 (12:49:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0132.v3

Mind Your Outcomes: The ∆Q approach to Quality-Centric Systems Development and Its Application to a Blockchain Case-Study

Seyed Hossein HAERI, Peter Thompson, Neil Davies, Peter Van Roy, Kevin Hammond, James Chapman

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: formal semantics; quality attenuation; distributed systems; system design; scalability; performance; feasibility; blockchain; ΔQ.

Online: 24 January 2022 (11:43:32 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202201.0246.v1

High precision voltage measurement for optical quantum computation

Kamil Wereszczyński, Agnieszka Michalczuk, Marcin Paszkuta, Jacek Gumiela

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: quantum computing; quantum optics; quantum optimization; photon entanglement; coincidence measure; photodiodes current measure; voltage measurement

Online: 17 January 2022 (17:27:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0018.v1

Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean

Ahrii Kim, Jinhyun Kim

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: NMT Evaluation, Meta-Evaluation, SacreBLEU, Korean

Online: 4 January 2022 (20:24:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0132.v2

Mind Your Outcomes: The ∆Q approach to Quality-Centric Systems Development and Its Application to a Blockchain Case-Study

Seyed Hossein HAERI, Peter Thompson, Neil Davies, Peter Van Roy, Kevin Hammond, James Chapman

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: formal semantics; quality attenuation; distributed systems; system design; scalability; performance; feasibility; blockchain; ΔQ.

Online: 21 December 2021 (13:59:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0240.v1

Quantum Computing for Dealing with Inaccurate Knowledge using the Certainty Factors Model

Vicente Moret-Bonillo, Samuel Magaz-Romero, Eduardo Mosqueira-Rey

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Quantum Computing; Artificial Intelligence; Uncertain Reasoning; Quantum Rule-Based Systems; Certainty Factors

Online: 14 December 2021 (14:20:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0132.v1

Mind Your Outcomes: Quality-Centric Systems Development

Seyed Hossein HAERI, Peter Thompson, Neil Davies, Peter Van Roy, Kevin Hammond, James Chapman

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: formal semantics; quality attenuation; distributed systems; system design; scalability; performance; feasibility; blockchain; ΔQ.

Online: 8 December 2021 (14:25:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0045.v1

CybIQ: Secure Authentication Method

Raghavendra Devidas, Hrushikesh Srinivasachar

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Pattern based access; Graphical password; safe password; non-intuitive password; non-static password; visually encrypted password

Online: 2 November 2021 (11:06:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201908.0037.v8

Dense Complete Set For NP

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Complexity Classes; Complement Language; Sparse; Completeness; Polynomial Time

Online: 26 October 2021 (11:07:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0445.v1

Functoriality of the Schmidt Construction

Juan Climent Vidal, Enric Cosme Llópez

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Many-sorted partial algebra; free completion; category of completions; weakly initial object; comma category of objects over a completion; Schmidt construction; Schmidt homomorphism; twisted morphism category; Schmidt endofunctor; functoriality of the Schmidt construction

Online: 27 September 2021 (11:45:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0174.v1

Efficient Data Sorting Introducing a New Method

Raghavendra Devidas, Aishwarya Kulkarni

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Efficient sorting; Reconfigurable computing; Hardware optimization; Sorting through hardware re-configuration; new computer architecture for sorting; quantum inspired computer architecture; parallelism for Grover’s algorithm

Online: 9 September 2021 (10:56:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0179.v2

DSAC-Digital Signature for Access Control in Information Centric Network

Zaki Ullah, Muhammad Inam Ul Haq, Samiullah Khan, Muhammad Zubair

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Information Centric Network; Authentication; Digital Signature

Online: 7 September 2021 (07:51:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0037.v7

Sparse complete sets for coNP: Solution of the P versus NP problem

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Complexity Classes; Complement Language; Sparse; Completeness; Polynomial Time

Online: 27 August 2021 (14:09:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0467.v1

A Polynomial Time Algorithm for Graph Isomorphism and Automorphism

Sardar Anisul Haque

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: graph isomorphism; graph automorphism; polynomial time algorithm

Online: 24 August 2021 (13:56:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0193.v2

Innovations and Applications of Quantum Computing

Bhanu Prakash

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Quantum Computing; Quantum Systems; Quantum Algorithms; Error Correction

Online: 19 August 2021 (10:19:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0193.v1

Innovations and Applications of Quantum Computing

Bhanu Prakash

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Quantum Computing, Quantum Systems, Quantum Algorithms, Error Correction

Online: 9 August 2021 (12:39:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0196.v1

Niloufar Shoeibi, Nastaran Shoeibi, Pablo Chamoso, Zakie Alizadehsani, Juan M. Corchado

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Twitter; Social Media; Social Networking; Social Network Analytic; Graph Analytic; Text Similarity; Natural Language Processing; User Engagement.

Online: 7 June 2021 (16:16:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0056.v2

Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks

Felipe S. Abrahão, Klaus Wehmuth, Hector Zenil, Artur Ziviani

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: multidimensional networks; network complexity; lossless compression; information distortion; graph isomorphism; multiaspect graphs; multilayer networks; information content analysis; algorithmic complexity

Online: 12 May 2021 (13:44:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0779.v1

ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic

Sajid Fadlelseed, Raimund Kirner, Catherine Menon

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: real-time systems; safety integrity level; scheduling; mixed-criticality

Online: 29 April 2021 (14:41:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0601.v1

Adaptive Online Learning for Time Series Prediction

Weijia Shao, Lukas Friedemann Radke, Fikret Sivrikaya, Sahin Albayrak

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: ime Series Analysis; Online Optimisation; Online Model Selection

Online: 22 April 2021 (09:32:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0316.v1

Fermatean fuzzy linguistic weighted averaging/geometric operators based on modified operational laws and their application in multiple attribute group decision-making

Rajkumar Verma

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Fermatean fuzzy set; Fermatean fuzzy linguistic set; Fermatean fuzzy linguistic number; MAGDM; supplier selection

Online: 12 April 2021 (14:25:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0410.v1

Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview

Vladik Kreinovich, Olga Kosheleva

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: limit theorems; curse and blessing of dimensionality; neural networks

Online: 16 March 2021 (09:46:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202103.0056.v1

Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks

Felipe S. Abrahão, Klaus Wehmuth, Hector Zenil, Artur Ziviani

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: multidimensional networks; network complexity; lossless compression; information distortion; graph isomorphism; multiaspect graphs; multilayer networks; information content analysis; algorithmic complexity

Online: 2 March 2021 (09:31:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints201908.0037.v6

Algebraic Polynomial Sum Solver Over $\{0, 1\}$

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: complexity classes; polynomial time; reduction; logarithmic space

Online: 11 February 2021 (11:56:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0331.v1

Rapid Prototyping of Virtual Reality Cognitive Exercises in a Tele–Rehabilitation Context

Damiano Perri, Martina Fortunelli, Marco Simonetti, Riccardo Magni, Jessica Carloni, Osvaldo Gervasi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Blender; Cognitive exercises; Nu!Reha; Tele–Rehabilitation; Unity3D; Virtual Reality

Online: 14 December 2020 (13:03:01 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202012.0300.v1

The Oil and Vinegar Method

William Buchanan

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Post Quantum Cryptography, Oil and Vinegar

Online: 13 December 2020 (21:31:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0033.v1

Few-shot Classification of Aerial Scene Images via Meta-learning

Pei Zhang, YIng Li, Dong Wang, Yunpeng Bai

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: aerial scene classification; remote-sensing image classification; few-shot learning; meta-learning

Online: 2 October 2020 (09:24:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0557.v1

Computing Maximal Lyndon Substrings of a String

Frantisek Franek, Michael Liut

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: combinatorics on words; string algorithms; regularities in strings; suffice sorting; Lyndon substrings; Lyndon arrays; maximal Lyndon substrings; tau-reduction algorithm; Baier's sort algorithm; iterative Duval algorithm

Online: 24 September 2020 (03:10:18 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202009.0168.v1

Prediction of Lung Function in Adolescence Using Epigenetic Aging: A Machine Learning Approach

Md. Adnan Arefeen, Sumaiya Tabassum Nimi, M. Sohel Rahman, S. Hasan Arshad, John W. Holloway, Faisal I. Rezwan

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: lung function; epigenetic aging; machine learning; feature selection; hyperparamter tuning

Online: 8 September 2020 (03:15:28 CEST)

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Working Paper ARTICLE

Multi-Winner Election Control via Social Influence: Hardness and Algorithms for Restricted Cases

Mohammad Abouei Mehrizi, Gianlorenzo D'Angelo

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Computational Social Choice; Election Control; Multi-winner Election; Social Influence; Influence Maximization

Online: 7 September 2020 (04:11:59 CEST)

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Working Paper ARTICLE

Multi-Winner Election Control via Social Influence: Hardness and Algorithms for Restricted Cases

Mohammad Abouei Mehrizi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Computational Social Choice; Election Control; Multi-winner Election; Social Influence; Influence Maximization

Online: 30 August 2020 (10:42:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0268.v1

Enhancing Password Authentication Using Association Password Technique: An Ecological Theory of Memory and Data

Raymond Commodore, J. B. Hayfron-Acquah

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Authentication; Password Authentication; Password Strength; Password Memorability; Association Password Technique; Computer Security

Online: 11 August 2020 (15:08:21 CEST)

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The Study proposes possible solution to enhance Password Authentication using Association Technique based on the Ecological theory of memory and data at the Presbyterian university College Ghana. The study used a deductive research approach and employed two empirical Studies using the non-probability sampling technique where few respondents were selected in categories out of the populace by means of openness in other to get similar categories of respondents with different age groups and education background. The two Empirical study also used a quasi-experimental approach which structure incorporate observation, experimental treatment and timing. The First empirical study carried out an investigation to identify existing Password authentication Technique used by End Users, as well as their behavior in password utilization through a self-completed questionnaires which was analyzed using SPSS version 21 . The Second empirical study was an experiment to compared three kinds of password constructions that is own set, modified dictionary, and association against one another to see which of them would be best meet the ecological theory of memory and data which aims at creating a secured password that is easy to recall. The computation and evaluation of password construction was done using My1login Password meter whiles Levenshtein Distance String Edit Software was also used to compute the memorability of all given password. Across-tabulation was then employed out of the experiment using SPSS version 21. The result from the analysis revealed that the majority of the respondents do have weak passwords and also have few passwords which they even end up sharing with families and friends and reuse it. This confirms statements made by researchers that human being is the weakest connection in information system securities. To maintain Confidentiality, Availability and Integrity of data, the study therefore recommended the use of the Association Password technique which makes it easier to develop a much secured password that is difficult to crack but easy remember.

Preprint ARTICLE | doi:10.20944/preprints202007.0593.v1

Experimental Analysis of Time Complexity and Solution Quality of Swarm Intelligence Algorithm

Mohammed Ajuji, Aliyu Abubakar, Datti, Useni Emmanuel

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: artificial bee colony; bat; particle swarm; optimization and Opytimizer

Online: 24 July 2020 (14:16:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0307.v1

Edge-based Color Image Segmentation using Particle Motion on Vector Fields Derived from Local Color Distance Images

Wutthichai Phornphatcharaphong, Nawapak Eua-Anant

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Color images segmentation; Particle Motion; Local Color Distance Images; Normal compressive vector field; Edge vector field

Online: 14 July 2020 (12:09:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0091.v1

Image Enhancement for In-Vivo Breast Cancer Screening Using DIET system

Awais Nazir, Muhammad Shahzad Younis, Muhammad Khurram Shahzad

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Breast Cancer Screening; Digital Image Elasto Tomography (DIET); Image Noise Removal, Image Enhancement; Multiple Frame Noise Removal (MFNR)

Online: 7 June 2020 (14:53:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0090.v1

MFNR: Multi-Frame Method for Complete Noise Removal of all PDF Types in Multi-Dimensional Data Using KDE

Awais Nazir, Muhammad Shahzad Younis, Muhammad Khurram Shahzad

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Noise Removal; Image Enhancement; MFNR; multi-dimensional data

Online: 7 June 2020 (14:51:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0267.v1

Easing ÐApp Interaction for Non-Blockchain Users from a Conceptual Modelling Approach

Miguel A. Teruel, Juan Trujillo

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Blockchain; ÐApp; UML; conceptual modelling; Ethereum; Smart Contract; Solidity; Quorum; middleware; Clockchain

Online: 16 May 2020 (16:29:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202001.0309.v2

A Combination Approach of Two Metaheuristic Algorithm for Optimal Feature Selection: Case Study Email Spam Detection

Hekmat Mohmmadzadeh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: classification; hybrid; Whale Optimization Algorithm; email spam

Online: 5 May 2020 (16:31:19 CEST)

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Selecting a feature in data mining is one of the most challenging and important activities in pattern recognition. The issue of feature selection is to find the most important subset of the main features in a specific domain, the main purpose of which is to remove additional or unrelated features and ultimately improve the accuracy of the categorization algorithms. As a result, the issue of feature selection can be considered as an optimization problem and to solve it, meta-innovative algorithms can be used. In this paper, a new hybrid model with a combination of whale optimization algorithms and flower pollination algorithms is presented to address the problem of feature selection based on the concept of opposition-based learning. In the proposed method, we tried to solve the problem of optimization of feature selection by using natural processes of whale optimization and flower pollination algorithms, and on the other hand, we used opposition-based learning method to ensure the convergence speed and accuracy of the proposed algorithm. In fact, in the proposed method, the whale optimization algorithm uses the bait siege process, bubble attack method and bait search, creates solutions in its search space and tries to improve the solutions to the feature selection problem, and along with this algorithm, Flower pollination algorithm with two national and local search processes improves the solution of the problem selection feature in contrasting solutions with the whale optimization algorithm. In fact, we used both search space solutions and contrasting search space solutions, all possible solutions to the feature selection problem. To evaluate the performance of the proposed algorithm, experiments are performed in two stages. In the first phase, experiments were performed on 10 sets of data selection features from the UCI data repository. In the second step, we tried to test the performance of the proposed algorithm by detecting spam emails. The results obtained from the first step show that the proposed algorithm, by running on 10 UCI data sets, has been able to be more successful in terms of average selection size and classification accuracy than other basic meta-heuristic algorithms. Also, the results obtained from the second step show that the proposed algorithm has been able to perform spam emails more accurately than other similar algorithms in terms of accuracy by detecting spam emails.

Preprint ARTICLE | doi:10.20944/preprints201908.0037.v3

P versus NP

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: complexity classes; completeness; polynomial time; reduction; logarithmic space; one-way

Online: 6 April 2020 (12:57:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202001.0360.v3

The Entropy Function for Non Polynomial Problems and Its Applications for Turing Machines

Matheus Santana Lima

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Computational Complexity; Information Theory; Machine Learning; Computational Statistics; Kolmogorov-Chaitin Complexity; Kelly criterion

Online: 5 March 2020 (15:06:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0360.v2

The Entropy Function for Non Polynomial Problems and Its Applications for Turing Machines

Matheus Santana Lima

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Computational Complexity; Information Theory; Machine Learning; Computational Statistics; Kolmogorov-Chaitin Complexity; Kelly criterion

Online: 2 March 2020 (15:26:03 CET)

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Working Paper ARTICLE

A Study on Analytical and Simulation Models of Dynamic Priority Service System (DPSS)

Fatholah Dadgar Arablu

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: service systems; service process; analytical and simulation model; request; transact; dynamic priority; limited and unlimited buffer

Online: 3 February 2020 (08:55:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0283.v2

Improving the Learning of Self-driving Vehicles Based on Real Driving Behavior using Deep Neural Network Techniques

Nayere Zaghari, Mahmood Fathy, Seyed Mahdi Jameii, Mohammad Sabokrou, Mohammad Shahverdy

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Autonomous vehicle; Self-driving; Real Driving Behavior; Deep Neural Network; LSV-DNN

Online: 31 January 2020 (11:45:37 CET)

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Preprint REVIEW | doi:10.20944/preprints202001.0368.v1

Analyzing the Effective Factors on Customer Behavior in Mobile Marketing

Tahereh Arbab, Hojatolah Hamaidi, Mohsen Gharakhani

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: mobile marketing; customer behavior; structural equations; decision making; individual knowledge

Online: 30 January 2020 (12:16:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0367.v1

Location-Aware Distributed Clustering with Eliminating GPS in Vehicular Ad-hoc Networks

Samane Beheshti, Sahar Adabi, Ali Rezaee

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Vehicular ad-hoc network (VANET); M2M; Fuzzy logic; ITS; LAC-VANET

Online: 30 January 2020 (12:10:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0360.v1

The Entropy Function for Non Polynomial Problems and Its Applications for Turing Machines

Matheus Santana Lima

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Computational Complexity; Information Theory; Machine Learning; Computational Statistics; Kolmogorov-Chaitin Complexity; Kelly criterion

Online: 30 January 2020 (10:53:55 CET)

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Working Paper ARTICLE

Cluster-Based Routing Protocol for Improvement Delay in Mobile Ad-hoc Networks

Marjan Najafi, Mohammad Reza Soltan Aghaei

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: cluster based routing; FLOC clustering method; weighting algorithm; intra-cluster communication

Online: 29 January 2020 (03:47:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0329.v1

The Presentation of an Exploratory Algorithm for the Rectangle Packing Problem on the Basis of the Best Fit Algorithm and the Lowest Front-Line Strategy

Mohammad Bozorgi, Morteza Mohammadi Zanjireh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: rectangle packing problem; best-fit algorithm; lowest front-line strategy

Online: 27 January 2020 (13:53:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0328.v1

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

Rogayye Khaleghnasab, Karamolah Bagherifard, Samad Nejatian, Bahman Ravaei

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Internet of Things; multi-path routing; Gray System Theory; network stability; RMPGST-IoT

Online: 27 January 2020 (13:47:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0318.v1

Efficient Binary Symbiotic Organisms Search Algorithm Approaches for Feature Selection Problems

Hekmat Mohmmadzadeh, Farhad Soleimanian Gharehchopogh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: efficient binary symbiotic; feature selection; classification; optimization

Online: 26 January 2020 (08:30:17 CET)

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Feature selection is one of the main data preprocessing steps in machine learning. Its goal is to reduce the number of features by removing extra and noisy features. Feature selection methods must consider the accuracy of classification algorithms while performing feature reduction on a dataset. Meta-heuristic algorithms are the most successful and promising methods for solving this issue. The symbiotic organisms search algorithm is one of the successful meta-heuristic algorithms which is inspired by the interaction of organisms in the nature called Parasitism Commensalism Mutualism. In this paper, three engulfing binary methods based on the symbiotic organisms search algorithm are presented for solving the feature selection problem. In the first and second methods, several S-shaped and V-shaped transfer functions are used for binarizing the symbiotic organisms search algorithm, respectively. These methods are called BSOSS and BSOSV. In the third method, two new operators called BMP and BCP are presented for binarizing the symbiotic organisms search algorithm. This method is called EBSOS. The third approach presents an advanced binary version of the coexistence search algorithm with two new operators, BMP and BCP, to solve the feature selection problem, named EBSOS. The proposed methods are run on 18 standard UCI datasets and compared to base and important meta-heuristic algorithms. The test results show that the EBSOS method has the best performance among the three proposed approaches for binarization of the coexistence search algorithm. Finally, the proposed EBSOS approach was compared to other meta-heuristic methods including the genetic algorithm, binary bat algorithm, binary particle swarm algorithm, binary flower pollination algorithm, binary grey wolf algorithm, binary dragonfly algorithm, and binary chaotic crow search algorithm. The results of different experiments showed that the proposed EBSOS approach has better performance compared to other methods in terms of feature count and accuracy criteria. Furthermore, the proposed EBSOS approach was practically evaluated on spam email detection in particular. The results of this experiment also verified the performance of the proposed EBSOS approach. In addition, the proposed EBSOS approach is particularly combined with the classifiers including SVM, KNN, NB and MLP to evaluate this method performance in the detection of spam emails. The obtained results showed that the proposed EBSOS approach has significantly improved the accuracy and speed of all the classifiers in spam email detection.

Preprint ARTICLE | doi:10.20944/preprints202001.0317.v1

A New Multi-Agent Approach for Solving Optimization Problems with High-Dimensional: Case Study in Email Spam Detection

Hekmat Mohmmadzadeh, Farhad Soleimanian Gharehchopogh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: multi agent systems; high-dimensional; optimization; email spam; metaheuristic algorithms

Online: 26 January 2020 (08:25:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0316.v1

A Smart Agent-Based Technique Using Hash Function to Protect Communication within UAVs in Unmanned Aerial Systems

Maryam Faraji

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Unmanned Aerial Systems (UASs); UAV; Sinkhole attack; IDS; routing security

Online: 26 January 2020 (08:16:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0309.v1

A Novel Hybrid Whale Optimization Algorithm with Flower Pollination Algorithm for Feature Selection: Case Study Email Spam Detection

Hekmat Mohmmadzadeh, Farhad Soleimanian Gharehchopogh

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: feature selection; hybrid optimization; Whale Optimization Algorithm; Flower Pollination Algorithm; classification; Opposition Based Learning; Email Spam Detection

Online: 26 January 2020 (07:07:23 CET)

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Feature Selection (FS) in data mining is one of the most challenging and most important activities in pattern recognition. The problem of choosing a feature is to find the most important subset of the main attributes in a specific domain, and its main purpose is removing additional or unrelated features, and ultimately improving the accuracy of the classification algorithms. As a result, the problem of FS can be considered as an optimization problem, and use metaheuristic algorithms to solve it. In this paper, a new hybrid model combining whale optimization algorithm (WOA) and flower pollination algorithm (FPA) is presented for the problem of FS based on the concept of Opposition based Learning (OBL) which name is HWOAFPA. In our proposed method, using natural processes of WOA and FPA, we tried to solve the problem of optimization of FS; and on the other hand, we used an OBL method to ensure the convergence rate and accuracy of the proposed algorithm. In fact, in the proposed method, WOA create solutions in their search space using the prey siege and encircling process, bubble invasion and search for prey methods, and try to improve the solutions for the FS problem; along with this algorithm, FPA improves the solution of the FS problem with two global and local search processes in an opposite space with the solutions of the WOA. In fact, we used all of the possible solutions to the FS problem from both the solution search space and the opposite of solution search space. To evaluate the performance of the proposed algorithm, experiments were carried out in two steps. In the first stage, the experiments were performed on 10 FS datasets from the UCI data repository. In the second step, we tried to test the performance of the proposed algorithm in terms of spam e-mails detection. The results obtained from the first step showed that the proposed algorithm, performed on 10 UCI datasets, was more successful in terms of the average size of selection and classification accuracy than other basic metaheuristic algorithms. Also, the results from the second step showed that the proposed algorithm which was run on the spam e-mail dataset, performed much more accurately than other similar algorithms in terms of accuracy of detecting spam e-mails.

Preprint ARTICLE | doi:10.20944/preprints202001.0305.v1

File Fragment Recognition Based on Content and Statistical Features

Marzieh Masoumi, Ahmad Keshavarz

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: classification algorithm; feature reduction; file fragments; file fragment recognition; SFS; SFFS

Online: 26 January 2020 (04:04:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0304.v1

A Gray System Theory Based Multi-Path Routing Method for Improving Network Lifetime in Internet of Things Systems

Meysam Zarei, Mohammadreza Soltanaghaei

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Internet of Things (IoT); Gray System Theory; Multi-Path Routing; GSTMPR-IoT

Online: 26 January 2020 (04:00:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0303.v1

Securing Internet of Things against Physical Layer Attacks Using Hybrid Security Algorithm (HSA)

Meysam Zarei

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Internet of Things (IoT); physical layer attack; routing security; Average Packet Transmission

Online: 26 January 2020 (03:57:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0283.v1

Improving the Learning of Self-driving Vehicles Based on Real Driving Behavior using Deep Neural Network Techniques

Nayereh Zaghari, Mahmood Fathy, Seyed Mahdi Jameii, Mohammad Sabokrou, Mohammad Shahverdy

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Autonomous vehicle; Self-driving; Real Driving Behavior; Deep Neural Network; LSV-DNN

Online: 24 January 2020 (14:29:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0229.v1

An Agent-Based Self-Protective Method to Secure Communication between UAVs in Unmanned Aerial Vehicle Networks

Reza Fotohi, Eslam Nazemi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: unmanned aerial vehicle networks (UAVNs); secure communication; agent-based self-protective; HIS

Online: 21 January 2020 (03:02:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0400.v1

Modelling Distributed Systems in Distributed Autonomous and Asynchronous Automata (DA3)

Wiktor Daszczuk

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: distributed systems; distributed system modeling; distributed automata; graphical modeling; formal methods

Online: 31 December 2019 (03:52:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0252.v1

Financial Market Prediction Using Recurrence Plot and Convolutional Neural Network

Tameru Hailesilassie

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: time series; deep learning; convolutional neural network; recurrence plot; financial market prediction

Online: 19 December 2019 (07:39:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201908.0037.v2

P versus NP

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: complexity classes; completeness; polynomial time; reduction; logarithmic space; one-way

Online: 29 November 2019 (07:28:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints201910.0071.v1

Challenges and Emerging Solutions for Public Blockchains

Victor Holotescu, Radu Vasiu

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Blockchain; Distributed Ledger Technology; Blockchain Trilemma; Scalability; Interoperability

Online: 7 October 2019 (12:24:44 CEST)

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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: Mathematics & Computer Science, General & Theoretical 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/preprints201908.0243.v1

A QoS-aware Secured Communication Scheme for IoT-based Networks

Fazlullah Khan, Ateeq ur Rehman, Abid Yahya, Mian Ahmad Jan, Josef Chuma, Khalid Hussain

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Internet of Things; Security; Sybil attack; Quality of Service; multi-hop flows; ad hoc networks

Online: 23 August 2019 (09:56:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0045.v1

A Modification of the Fast Inverse Square Root Algorithm

Cezary J. Walczyk, Leonid V. Moroz, Jan L. Cieśliński

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: floating-point arithmetic; inverse square root; magic constant; Newton-Raphson method

Online: 5 August 2019 (05:09:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0037.v1

Logarithmic Space Verifiers on NP-complete

Frank Vega

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: complexity classes; completeness; verifier; reduction; polynomial time; logar-ithmic space

Online: 5 August 2019 (03:31:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0298.v1

Securing IoT Based RFID Systems: A Robust Authentication Protocol Using Symmetric Cryptography

Khwaja Mansoor, Anwar Ghani, Shehzad Ashraf Chaudhry, Shahaboddin Shamshirband, Shahbaz Ahmed Khan Ghayyur, Ely Salwana

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: authentication protocol; IoT Security; RFID security; symmetric cryptography

Online: 26 July 2019 (04:30:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0058.v1

Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

Shenglan Du, Roderik Lindenbergh, Hugo Ledoux, Jantien Stoter, Liangliang Nan

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: laser scanning; point cloud; tree modelling; precision forestry

Online: 3 July 2019 (09:38:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0366.v1

Quantum Conditional Strategies for Prisoners' Dilemmata Under the Ewl Scheme

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

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: quantum game theory; quantum automata; prisoner's dilemma; conditional strategies; quantum strategies

Online: 30 May 2019 (10:20:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0258.v1

Why Fuzzy Partition in F-Transform?

Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: F-transform; fuzzy partition; measurements; measurementuncertainty

Online: 23 April 2019 (13:02:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0253.v1

Why Triangular Membership Functions Are So Efficient in F-Transform Applications: A Global Explanation to Supplement the Existing Local One

Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: F-transform; triangular membership function; optimal global characteristics

Online: 23 April 2019 (11:01:56 CEST)

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Working Paper ARTICLE

Runtime Verification in Uncertain Environment Based on Probabilistic Model Learning

Ge Zhou, Wanwei Liu, Wei Dong

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: runtime verification; probabilistic monitor; markov chain; ω-automata

Online: 10 April 2019 (06:30:12 CEST)

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Preprint REVIEW | doi:10.20944/preprints201903.0063.v1

An Overview: Internet of Things, 5G Communication System and Cloud Computing

Abdulhamid Usman Nuruddeen

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: 5G wireless, Distributed Cloud, Internet of Things

Online: 5 March 2019 (12:15:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints201902.0019.v1

Heterogeneous Distributed Big Data Clustering on Sparse Grids

David Pfander, Gregor Daiß, Dirk Pflüger

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: clustering; machine learning; distributed computing; performance portability; GPGPU; OpenCL; peak performance

Online: 2 February 2019 (03:27:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints201812.0061.v1

Set-Membership Quaternion Normalized LMS Algorithm

Hamid Reza Moradi, Akram Zardadi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: adaptive filtering; set-membership filtering; quaternion; SM-QNLMS; wind profile prediction; quaternionic adaptive beamforming

Online: 5 December 2018 (04:21:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints201812.0056.v1

Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan

Xinning Zhu, Tianyue Sun, Hao Yuan, Zheng Hu, Jiansong Miao

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Low accuracy CDRs; Group movement pattern; Data mining; Travel behaviors

Online: 4 December 2018 (10:02:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints201812.0031.v1

Synergetic Theory of Information

Viktor Vyatkin

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: syntropy; entropy; chaos; order; amount of information; finite set; integrative code

Online: 3 December 2018 (15:45:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0486.v1

Optimizing Traffic Engineering in Software Defined Networking

Mouhammd Alkasassbeh, Ghazi Al-Naymat, Mohammad Alauthman, Esra Ednat

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Software-Defined Networking (SDN), Traffic Engineering

Online: 20 November 2018 (08:24:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0594.v2

User Satisfaction in Augmented Reality-Based Training Using Microsoft HoloLens

Hui Xue, Puneet Sharma, Fridolin Wild

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: augmented reality; Microsoft HoloLens; AR application; user experience; user satisfaction

Online: 16 November 2018 (07:55:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0300.v1

NLP Formulation for Polygon Optimization Problems

Saeed Asaeedi, farzad didehvar, Ali Mohades

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: α-MAP; α-MPP; α-MNP; polygon optimization; nonlinear programming; computational geometry

Online: 13 November 2018 (05:28:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0294.v1

Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network

Cristiano M. Silva, Lucas D. Silva, Leonardo A. L. Santos, João F. M. Sarubbi, Andreas Pitsillides

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: vehicular networks; performance management; design of vehicular networks; mobile networks; vehicle-to-infrastructure; roadside units; infrastructure for vehicular networks

Online: 13 November 2018 (04:55:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0270.v1

Evolving System Bottlenecks in the as a Service Cloud

Shaun C. D'Souza

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: cloud systems; AI; cognitive; programming languages; algorithms

Online: 12 November 2018 (08:49:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0255.v1

A More Efficient Conditional Private Preservation Scheme in Vehicular Ad Hoc Networks

Tao Wang, Xiaohu Tang

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: vehicular ad hoc networks; conditional privacy; revocation

Online: 12 November 2018 (03:48:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0239.v1

Improvement of Wu et al.'s Three-Factor User Authentication Scheme for Wireless Sensor Networks

Jihyeon Ryu, Hakjun Lee, Hyoungshick Kim, Dongho Won

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: wireless sensor networks; user authentication; biometric; smart card

Online: 9 November 2018 (04:15:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0203.v1

Flexibility of Boolean Network Reservoir Computers in Approximating Arbitrary Recursive and Non-recursive Binary Filters

Moriah Echlin, Boris Aguilar, Max Notarangelo, David L Gibbs, Ilya Shmulevich

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: complex adaptive systems; systems dynamics; dynamical systems; signal processing; reservoir computing; machine learning; Boolean networks; biological modeling

Online: 8 November 2018 (10:40:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0253.v1

Data Censoring with Set-Membership Affine Projection Algorithm

Hamid Reza Moradi, Akram Zardadi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: adaptive filtering; set-membership filtering; affine projection; data censoring; big data; outliers

Online: 12 October 2018 (04:57:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0239.v1

A Mobile Positioning Method Based on Deep Learning Techniques

Ling Wu, Chi-Hua Chen, Qishan Zhang

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: deep learning; recurrent neural networks; mobile positioning method; fingerprinting positioning method; received signal strength

Online: 11 October 2018 (13:31:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0331.v1

Unavailable Time Aware Scheduling of Hybrid Task on Heterogeneous Distributed System

Hejun Xuan, Shiwei Wei, Yanling Li, Ran Li, Wuning Tong

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Distributed computing; Task scheduling; Hybrid Tasks; Generic algorithm;

Online: 18 September 2018 (08:17:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0088.v1

Deep Learning with Unsupervised Data Labeling for Weeds Detection on UAV Images

M Dian Bah, Adel Hafiane, Raphael Canals

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: weeds detection; deep learning; unmanned aerial vehicle; image processing; precision agriculture; crop lines detection

Online: 5 September 2018 (06:13:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0208.v1

Logical Entropy: Introduction to Classical and Quantum Logical Information Theory

David Ellerman

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: logical entropy, logic of partitions, qudits of an observable

Online: 10 August 2018 (15:53:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0052.v1

Ex Post Nash Equilibrium in Games for Decision Making in Multi-environments

Abbas Edalat, Samira Hossein Ghorban, Ali Ghoroghi

Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: Bayesian game, Ex post Nash equilibrium, Prisoner's Dilemma, Trust Game

Online: 2 August 2018 (17:20:18 CEST)

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MATHEMATICS & COMPUTER SCIENCE