04446nam a22005655i 4500 978-981-99-9436-6 DE-He213 20251030111506.0 cr nn 008mamaa 240308s2024 si | s |||| 0|eng d 9789819994366 978-981-99-9436-6 10.1007/978-981-99-9436-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Trends in Sustainable Computing and Machine Intelligence [electronic resource] : Proceedings of ICTSM 2023 / edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 495 p. 247 illus., 196 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Algorithms for Intelligent Systems, 2524-7573 Design of a Boosting-based Similarity Measure for Evaluating Gene Expression using Learning Approaches -- Leveraging Linear Programming for Identification of Peripheral Blood Smear Malarial Parasitic Microscopic Images -- The AI's Ethical Limitations from the Societal Perspective. An AI Algorithms' Limitation? -- Enhancement of Physical Layer Security for Relay Aided Multi-Hop Communication using Deep Transfer Learning Technique -- Marine Vessel Trajectory Forecasting using Long-Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm -- Application of Artificial Intelligence in Virtual Reality -- An Extension Application of 1D Wavelet Denoising Method for Image Denoising -- Improving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric Precipitation -- Effects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast Analysis -- Development of Autoencoder and Variational Autoencoder for Image Recognition using Convolutional Neural Network -- A Semantic Web based Prototype Exercise - Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and its Usability Assessment. 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. Computational intelligence. 64052 Machine learning. 55059 Cloud Computing. 58386 Computational Intelligence. 64052 Machine Learning. 55059 Cloud Computing. 58386 Lanka, Surekha. editor. edt http://id.loc.gov/vocabulary/relators/edt 72636 Sarasa-Cabezuelo, Antonio. editor. edt http://id.loc.gov/vocabulary/relators/edt 72637 Tugui, Alexandru. editor. edt http://id.loc.gov/vocabulary/relators/edt 72638 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819994359 Printed edition: 9789819994373 Printed edition: 9789819994946 Algorithms for Intelligent Systems, 2524-7573 66647 https://doi.org/10.1007/978-981-99-9436-6 ZDB-2-INR ZDB-2-SXIT 58184 58184