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Mobile Computing and Sustainable Informatics

Proceedings of ICMCSI 2023

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Subarna Shakya

    1. Pulchowk Campus, Tribhuvan University, Kathmandu, Nepal

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  2. George Papakostas

    1. Department of Computer Science, International Hellenic University, Kavala, Greece

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    You can also search for this editor in PubMed   Google Scholar

  3. Khaled A. Kamel

    1. Computer Science Department, Texas Southern University, Houston, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presents high-quality research papers in mobile computing and sustainable informatics
  • Features the outcomes of ICMCSI 2023, held in Nepal
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 166)

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Table of contents (56 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Measuring the Technical Efficiency of Thai Rubber Export Using the Spatial Stochastic Frontier Model Under the BCG Concept

    • Chanamart Intapan, Chukiat Chaiboonsri
    Pages 1-22

  3. Analysis of Digital Data Consumption of Video Streaming Platforms During COVID-19

    • Lizeth Aracelly Lopez-Orosco, Valeria Alexandra Solano-Guevara, Adriana Margarita Turriate-Guzman, Luis-Rolando Alarcón-Llontop
    Pages 23-36

  4. A Prototype of a Wireless Power Transmission System Based on Arduino

    • Md. Rawshan Habib, Ahmed Yousuf Suhan, Md. Shahnewaz Tanvir, Abhishek Vadher, Md. Mossihur Rahman, Shuva Dasgupta Avi et al.
    Pages 37-44

  5. Short Review on Blockchain Technology for Smart City Security

    • Alanoud Alquwayzani, M. M. Hafizur Rahman
    Pages 45-66

  6. Efficient Analysis of Sequences of Security Problems in Access Control Systems

    • Anh Tuan Truong
    Pages 67-80

  7. Artificial Intelligence in Agriculture: Machine Learning Based Early Detection of Insects and Diseases with Environment and Substance Monitoring Using IoT

    • D. Gnana Rajesh, Yaqoob Yousuf Said Al Awfi, Murshid Qasim Mohammed Almaawali
    Pages 81-88

  8. Design Concepts for Mobile Computing Direction Finding Systems

    • Juliy Boiko, Oleksıy Polıkarovskykh, Vitalii Tkachuk, Hanna Yehoshyna, Lesya Karpova
    Pages 89-107

  9. A Hybrid Machine Learning Model for Urban Mid- and Long-Term Electricity Load Forecasting

    • Xianghua Tang, Zhihui Jiang, Lijuan Zhang, Jiayu Wang, Youran Zhang, Liping Zhang
    Pages 109-123

  10. Optimizing Long Short-Term Memory by Improved Teacher Learning-Based Optimization for Ethereum Price Forecasting

    • Marija Milicevic, Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Dejan Jovanovic, Milos Antonijevic et al.
    Pages 125-139

  11. A Sophisticated Review on Open Verifiable Health Care System in Cloud

    • Mandava Varshini, Kolla Akshaya, Katakam Krishna Premika, A. Vijaya Kumar
    Pages 141-156

  12. Fuzzy Metadata Augmentation for Multimodal Data Classification

    • Yuri Gordienko, Maksym Shulha, Yuriy Kochura, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko
    Pages 157-172

  13. Development of an Information Accuracy Control System

    • A. M. Mehdiyeva, I. Z. Sardarova, Z. A. Mahmudova
    Pages 173-179

  14. Modelling an Efficient Approach to Analyse Clone Phishing and Predict Cyber-Crimes

    • Bondili Sri Harsha Sai Singh, Mohammed Fathima, Mohammad Sameer, Thota Teja Mahesh, A. Dinesh Kumar, K. Padmanaban
    Pages 181-189

  15. The Application of Mobile Phones to Enable Traffic Flow Optimisation

    • T. Shilowa, J. P. van Deventer, M. J. Hattingh
    Pages 191-205

  16. A Hypothesis on Cloud Sourcing Sharing Users’ Mobile Devices Through Virtualization

    • Nazmus Sakib, Al Hasib Mahamud
    Pages 207-220

  17. An Analytical Assessment of Machine Learning Algorithms for Predicting Campus Placements

    • S. Bala Dhanalakshmi, Raksheka Rajakumar, Swetha Shankar, R. Sowndharya Rani, N. Deepa, C. Subha Priyadharshini
    Pages 221-231

  18. Building Hindi Text Dataset on Stock Market Tweets and Sentiment Analysis Using NLP

    • Choudhary Anushka, Gupta Mohit, S. K. Lavanya
    Pages 233-241

  19. Fine-Tuning of RoBERTa for Document Classification of ArXiv Dataset

    • Kshetraphal Bohara, Aman Shakya, Bishal Debb Pande
    Pages 243-255

  20. Comparative Analysis of Using Event Sourcing Approach in Web Application Based on the LAMP Stack

    • Marian Slabinoha, Stepan Melnychuk, Vitalia Kropyvnytska, Bohdan Pashkovskyi
    Pages 257-269
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Keywords

About this book

This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during January 11–12, 2023. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices to personalized, embedded, and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models, and advanced informatics that support the symbiosis of mobile computing and sustainable informatics.

Editors and Affiliations

  • Pulchowk Campus, Tribhuvan University, Kathmandu, Nepal

    Subarna Shakya

  • Department of Computer Science, International Hellenic University, Kavala, Greece

    George Papakostas

  • Computer Science Department, Texas Southern University, Houston, USA

    Khaled A. Kamel

About the editors

Subarna Shakya is currently Professor of Computer Engineering, Department of Electronics and Computer Engineering, Central Campus, Institute of Engineering, Pulchowk, Tribhuvan University, and Coordinator (IOE), LEADER Project (Links in Europe and Asia for engineering, eDucation, Enterprise and Research exchanges), ERASMUS MUNDUS. He received M.Sc. and Ph.D. degrees in Computer Engineering from the Lviv Polytechnic National University, Ukraine, 1996 and 2000, respectively. His research area includes E-government system, computer systems & simulation, distributed and cloud computing, software engineering and information system, computer architecture, information security for E-government, and multimedia system.


George A. Papakostas received a diploma in Electrical and Computer Engineering in 1999 and an M.Sc. and Ph.D. degree in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace(DUTH), Greece. Dr. Papakostas is a Tenured Full Professor in the Department of Computer Science, at International Hellenic University, Greece.
Dr. Papakostas has 10 years of experience in large-scale systems design, as a senior software engineer and technical manager in INTRACOM TELECOM S.A. and INTALOT S.A. companies.
Currently, he is the Director of the “MLV Research Group” (Machine Learning & Vision Research Group). He has (co)authored more than 200 publications in indexed journals, international conferences and book chapters, 1 book (in greek), 2 edited books and 5 journal special issues. His publications have more than 3000 citations with h-index 32 (GoogleScholar). His research interests include machine learning, computer/machine vision, pattern recognition, and computational intelligence. Dr. Papakostas served as a reviewer in numerous journals and conferences, and he is a member of the IAENG, MIR Labs, EUCogIII and the Technical Chamber of Greece (TEE).

Khaled A. Kamel is currently Chairman and Professor at Texas Southern university, College of Science and technology, Department of Computer Science, Houston, TX. He has published many research articles in refereed journals and IEEE conferences. He has more than 30 years of teaching and research experience. He has been General Chair, Session Chair, TPC Chair, and Panelist in several conferences and acted as Reviewer and Guest Editor in referred journals. His research interest includes networks, computing, and communication systems.


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