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245 1 0 _aTrends in Sustainable Computing and Machine Intelligence
_h[electronic resource] :
_bProceedings of ICTSM 2023 /
_cedited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 495 p. 247 illus., 196 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aAlgorithms for Intelligent Systems,
_x2524-7573
505 0 _aDesign 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.
520 _aThe 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.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aMachine learning.
650 0 _aCloud Computing.
650 1 4 _aComputational Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aCloud Computing.
700 1 _aLanka, Surekha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSarasa-Cabezuelo, Antonio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTugui, Alexandru.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819994359
776 0 8 _iPrinted edition:
_z9789819994373
776 0 8 _iPrinted edition:
_z9789819994946
830 0 _aAlgorithms for Intelligent Systems,
_x2524-7573
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-9436-6
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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