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Trends in Sustainable Computing and Machine Intelligence : Proceedings of ICTSM 2023 / edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Contributor:
Lanka, Surekha., Editor.
Sarasa-Cabezuelo, Antonio., Editor.
Tugui, Alexandru., Editor.
Series:
Algorithms for Intelligent Systems, 2524-7573
Language:
English
Subjects (All):
Computational intelligence.
Machine learning.
Cloud computing.
Computational Intelligence.
Machine Learning.
Cloud Computing.
Local Subjects:
Computational Intelligence.
Machine Learning.
Cloud Computing.
Physical Description:
1 online resource (IX, 478 p. 246 illus., 201 illus. in color.)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
ISBN:
9789819994366
9819994365
OCLC:
1490381194

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