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Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2023 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trends in sustainable computing and machine intelligence/ edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui.
其他題名:	proceedings of ICTSM 2023 /
其他題名:	ICTSM 2023
其他作者:	Lanka, Surekha.
團體作者:	International Conference on Trends in Sustainable Computing and Machine Intelligence
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	ix, 478 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-99-9436-6
ISBN:	9789819994366

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2023 /
Trends in sustainable computing and machine intelligenceproceedings of ICTSM 2023 /[electronic resource] :ICTSM 2023edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui. - Singapore :Springer Nature Singapore :2024. - ix, 478 p. :ill. (chiefly col.), digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

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.

ISBN: 9789819994366

Standard No.: 10.1007/978-981-99-9436-6doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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