東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Trends in sustainable computing and machine intelligence/ edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui.
Reminder of title:	proceedings of ICTSM 2023 /
remainder title:	ICTSM 2023
other author:	Lanka, Surekha.
corporate name:	International Conference on Trends in Sustainable Computing and Machine Intelligence
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	ix, 478 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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
Subject:	Machine learning - Congresses. -
Online resource:	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

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2023 /
LDR:03333nmm a22003495a 4500 001 2370385
003 DE-He213
005 20240308170523.0
006 m d
007 cr nn 008maaau
008 241127s2024 si s 0 eng d
020 $a 9789819994366 $q (electronic bk.)
020 $a 9789819994359 $q (paper)
024 7 $a 10.1007/978-981-99-9436-6 $2 doi
035 $a 978-981-99-9436-6
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .I61 2023
111 2 $a International Conference on Trends in Sustainable Computing and Machine Intelligence $d (2023 : $c Bangkok, Thailand) $3 3715693
245 1 0 $a Trends in sustainable computing and machine intelligence $h [electronic resource] : $b proceedings of ICTSM 2023 / $c edited by Surekha Lanka, Antonio Sarasa-Cabezuelo, Alexandru Tugui.
246 3 $a ICTSM 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a ix, 478 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7573
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Cloud Computing. $3 3231328
700 1 $a Lanka, Surekha. $3 3715694
700 1 $a Sarasa-Cabezuelo, Antonio. $3 3715695
700 1 $a Tugui, Alexandru. $3 3715696
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Algorithms for intelligent systems. $3 3443393
856 4 0 $u https://doi.org/10.1007/978-981-99-9436-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)