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

Trends in sustainable computing and ...

Lanka, Surekha.

Linked to FindBook

Google Book

Amazon

博客來

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Trends in sustainable computing and machine intelligence/ edited by Surekha Lanka, Antonio Sarasa Cabezuelo, Chandrasekar Vuppalapati.
Reminder of title:	proceedings of ICTSM 2024 /
remainder title:	ICTSM 2024
other author:	Lanka, Surekha.
corporate name:	International Conference on Trends in Sustainable Computing and Machine Intelligence
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiii, 510 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-1452-3
ISBN:	9789819614523

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /
Trends in sustainable computing and machine intelligenceproceedings of ICTSM 2024 /[electronic resource] :ICTSM 2024edited by Surekha Lanka, Antonio Sarasa Cabezuelo, Chandrasekar Vuppalapati. - Singapore :Springer Nature Singapore :2025. - xiii, 510 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12-13, 2024. 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: 9789819614523

Standard No.: 10.1007/978-981-96-1452-3doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2024

Dewey Class. No.: 006.31

Trends in sustainable computing and machine intelligence = proceedings of ICTSM 2024 /
LDR:02126nmm a2200337 a 4500 001 2410349
003 DE-He213
005 20250528130256.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819614523 $q (electronic bk.)
020 $a 9789819614516 $q (paper)
024 7 $a 10.1007/978-981-96-1452-3 $2 doi
035 $a 978-981-96-1452-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .I58 2024
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 2024
111 2 $a International Conference on Trends in Sustainable Computing and Machine Intelligence $d (2024 : $c Bangkok, Thailand) $3 3784188
245 1 0 $a Trends in sustainable computing and machine intelligence $h [electronic resource] : $b proceedings of ICTSM 2024 / $c edited by Surekha Lanka, Antonio Sarasa Cabezuelo, Chandrasekar Vuppalapati.
246 3 $a ICTSM 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiii, 510 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7573
520 $a This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12-13, 2024. 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 Artificial Intelligence. $3 769149
700 1 $a Lanka, Surekha. $3 3715694
700 1 $a Sarasa Cabezuelo, Antonio. $3 3784189
700 1 $a Vuppalapati, Chandrasekar. $3 3596027
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/10.1007/978-981-96-1452-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)