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Trends in Sustainable Computing and Machine Intelligence

Proceedings of ICTSM 2023
BuchGebunden
478 Seiten
Englisch
Springererschienen am27.04.20241st ed. 2024
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.mehr
Verfügbare Formate
BuchGebunden
EUR246,09

Produkt

KlappentextThe 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.
Details
ISBN/GTIN978-981-99-9435-9
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum27.04.2024
Auflage1st ed. 2024
ReiheAlgorithms for Intelligent Systems
Seiten478 Seiten
SpracheEnglisch
IllustrationenIX, 478 p. 246 illus., 201 illus. in color.
Artikel-Nr.55685723

Inhalt/Kritik

Inhaltsverzeichnis
Design of a Boosting-based Similarity Measure for Evaluating Gene Expression using Learning ApproachesK Sai Dhanush, Sudha SV, Rohan Putchakayala, Chandrika Morthala, Maganti Hemanth BajiLeveraging Linear Programming for Identification of Peripheral Blood Smear Malarial Parasitic Microscopic ImagesTamal Kumar Kundu, Dinesh Kumar Anguraj, Nayana ShettyThe AI's Ethical Limitations from the Societal Perspective. An AI Algorithms' Limitation?Alexandru TuguiEnhancement of Physical Layer Security for Relay Aided Multi-Hop Communication using Deep Transfer Learning TechniqueVachana. C, K. SaraswathiMarine Vessel Trajectory Forecasting using Long-Short-Term Memory Neural Networks Optimized via Modified Metaheuristic AlgorithmAna Toskovic, Aleksandar Petrovic, Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos DobrojevicApplication of Artificial Intelligence in Virtual RealityDEROUECH Oumaima, LACHGAR Mohamed, HRIMECH Hamid, HANINE MohamedAn Extension Application of 1D Wavelet Denoising Method for Image DenoisingPrasanta Kumar Sahoo, Debasis Gountia, Ranjan Kumar Dash, Siddhartha Behera, Manas Kumar NandaImproving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric PrecipitationM. Stetsenko, O. Melnyk, O. Onishchnko, V. Shevchenko, V. Sapiha, O. Vishnevska, D. VishnevskyiEffects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast AnalysisLakshmi Priya Swaminatha Rao, Suresh Jaganathan, Sharan Giri, Snehapriya Murugan, Vaibhav SDevelopment of Autoencoder and Variational Autoencoder for Image Recognition using Convolutional Neural NetworkTetiana Filimonova, Oleg Pursky, Anna Selivanova, Tetiana Pidhorna, Tatiana Dubovyk, Iryna BuchatskaA Semantic Web based Prototype Exercise - Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and its Usability AssessmentSai Akhil Kakumanu, Patha Srija, Kambhampati Kodanada Sai Harshitha, Medipally Abinay, Karnam Akhilmehr

Autor

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.
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Herausgegeben:Lanka, Surekha