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Trends in Sustainable Computing and Machine Intelligence

Proceedings of ICTSM 2023

  • Conference proceedings
  • Apr 2024

Overview

Editors:
  1. Surekha Lanka

    1. Department of Information Technology, Stamford International University, Bangkok, Thailand

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  2. Antonio Sarasa-Cabezuelo

    1. Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Alexandru Tugui

    1. Department of Business Informatics, Alexandru Ioan Cuza University, Iasi Romania, Romania

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    You can also search for this editor in PubMed   Google Scholar

  • Focuses on sustainable computing and machine intelligence

  • Gathers the outcomes of the ICTSM 2023, held in Bangkok, Thailand

  • Offers a reference guide for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

Included in the following conference series:

Conference proceedings info: ICTSM 2023.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Design of a Boosting-Based Similarity Measure for Evaluating Gene Expression Using Learning Approaches

    • K. Sai Dhanush, S. V. Sudha, Rohan Puchakayala, Chandrika Morthala, Maganti Hemanth Baji
    Pages 1-11

  3. Leveraging Linear Programming for Identification of Peripheral Blood Smear Malarial Parasitic Microscopic Images

    • Tamal Kumar Kundu, Dinesh Kumar Anguraj, Nayana Shetty
    Pages 13-25

  4. The AI’s Ethical Limitations from the Societal Perspective: An AI Algorithms’ Limitation?

    • Alexandru Tugui
    Pages 27-32

  5. Enhancement of Physical Layer Security for Relay Aided Multihop Communication Using Deep Transfer Learning Technique

    • C. Vachana, K. Saraswathi
    Pages 33-49

  6. Marine Vessel Trajectory Forecasting Using Long Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm

    • Ana Toskovic, Aleksandar Petrovic, Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Dobrojevic
    Pages 51-66

  7. Application of Artificial Intelligence in Virtual Reality

    • Derouech Oumaima, Lachgar Mohamed, Hrimech Hamid, Hanine Mohamed
    Pages 67-85

  8. An Extension Application of 1D Wavelet Denoising Method for Image Denoising

    • Prasanta Kumar Sahoo, Debasis Gountia, Ranjan Kumar Dash, Siddhartha Behera, Manas Kumar Nanda
    Pages 87-105

  9. Improving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric Precipitation

    • M. Stetsenko, O. Melnyk, O. Onishchnko, V. Shevchenko, V. Sapiha, O. Vishnevska et al.
    Pages 107-121

  10. Effects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast Analysis

    • Lakshmi Priya Swaminatha Rao, Suresh Jaganathan, Sharan Giri, Snehapriya Murugan, Sankaran Vaibhav
    Pages 123-138

  11. Development of Autoencoder and Variational Autoencoder for Image Recognition Using Convolutional Neural Network

    • Tetiana Filimonova, Oleg Pursky, Anna Selivanova, Tetiana Pidhorna, Tatiana Dubovyk, Iryna Buchatska
    Pages 139-154

  12. A Semantic Web-Based Prototype Exercise—Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and Its Usability Assessment

    • Sai Akhil Kakumanu, Patha Srija, Kambhampati Kodanda Sai Harshitha, Medipally Abinay, Karnam Akhil
    Pages 155-167

  13. Design and Implementation of Tiny ML Model Using STM32F Platform

    • Sreedhar Namratha, R. Bhagya, R. Bharthi
    Pages 169-184

  14. Feature Selection Techniques for Building Robust Air Quality Prediction Model

    • V. Santhana Lakshmi, M. S. Vijaya
    Pages 185-198

  15. Performance Evaluation of Wi-Fi 6 Using Different Channel Estimation Techniques

    • N. K. Dhakshith, K. Saraswathi, Praharsha Sirsi
    Pages 199-214

  16. Prevention of Animal Poaching Using Convolutional Neural Network-Based Approach

    • Trisha Shishodiya, Omkar Rane, Param Kothari, Sudhir Dhage
    Pages 215-230

  17. Applying Cognitive Science for Treating Children Suffering with Biological-Genetic Autoimmune Deficiency Through Vision of Computer Accessibility

    • Uppala Reshmitha, Shaik Afreen, Karnam Akhil
    Pages 231-241

  18. Evaluation of User Interaction Technique with Holographic Projection in Extended Reality

    • Fazliaty Edora Fadzli, Ajune Wanis Ismail, Goh Eg Su, Suriati Sadimon
    Pages 243-258

  19. Machine Learning Algorithms for Preventing and Detecting Diabetes Mellitus

    • S. Deepa, B. Booba
    Pages 259-274

  20. Texture Features-Based Breast Cancer Detection Using Artificial Neural Network

    • Khaled Almezhghwi, Morad Ali Hassan, Adel Ghadedo, Fairouz Belhaj, Rabei Shwehdi
    Pages 275-285
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  1. Trends in Sustainable Computing and Machine Intelligence

Keywords

About this book

The book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2023) organized by Stamford International University, Bangkok, Thailand, during October 5–6, 2023. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.

Editors and Affiliations

  • Department of Information Technology, Stamford International University, Bangkok, Thailand

    Surekha Lanka

  • Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Antonio Sarasa-Cabezuelo

  • Department of Business Informatics, Alexandru Ioan Cuza University, Iasi Romania, Romania

    Alexandru Tugui

About the editors

Dr. Surekha Lanka has a Doctoral degree of Science and Engineering from Himalayan University, India, and a Master’s degree of Computer Science from Andhra University, India, Master of Technology of computer science and engineering from Nagarjuna University, India. She also has done Master courses in Wireless communication from University of Athens, Greece. She has 13 years’ experience in teaching in various countries Thailand, Saudi Arabia, India, Bahrain, and also worked as Research Assistant at the International Institute of Research and Management in India.


Antonio Sarasa Cabezuelo has a Ph.D. in Computer Science from the Complutense University of Madrid. In 1999, he joined the UCM as Professor, where he has been Assistant Professor, Associate Professor at Full time, Collaborating Professor and since July 2013 he is Contracted Doctor professor. From the point of view of research, he has focused mainly on e-learning issues, standardization, digital heritage, and software development using techniques inspired by the design and implementation of computer languages. He is Member of the official Research Group of the UCM in Engineering of Software Languages and Applications (ILSA). He has participated as Researcher in 9 projects of the national plans, and in 10 projects of Educational Innovation, in 5 of them as their Director. The results of his research have been published in more than 70 articles in journals, lectures, and book chapters.


Alexandru Tugui is Full Professor at the Department of Accounting, Business Informatics and Statistics at Alexandru Ioan Cuza University of Iasi (Romania). Currently, his research fields concern the limits of artificial intelligence, societal transformations, smart economy, calm technology, technological singularity, and research methods. His research appeared in Big Data and Cognitive Computing, International Journal of Computers Communications Control, Sustainability, Remote Sensing, Transformations in Business and Economics, Carpathian Journal of Mathematics, Futurist, Encyclopedia of Information Science and Technology, Encyclopedia of Multimedia Technology and Networking. He is Ph.D. Adviser in business informatics and a futurologist in society and technology.

Bibliographic Information

  • Book Title: Trends in Sustainable Computing and Machine Intelligence

  • Book Subtitle: Proceedings of ICTSM 2023

  • Editors: Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui

  • Series Title: Algorithms for Intelligent Systems

  • DOI: https://doi.org/10.1007/978-981-99-9436-6

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Hardcover ISBN: 978-981-99-9435-9Due: 27 April 2024

  • Softcover ISBN: 978-981-99-9494-6Due: 27 April 2025

  • eBook ISBN: 978-981-99-9436-6Due: 27 April 2024

  • Series ISSN: 2524-7565

  • Series E-ISSN: 2524-7573

  • Edition Number: 1

  • Number of Pages: IX, 478

  • Number of Illustrations: 45 b/w illustrations, 201 illustrations in colour

  • Topics: Computational Intelligence, Machine Learning, Professional Computing

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