國立虎尾科技大學 |

Computational artificial intelligence and methods for industries = a machine-generated literature overview /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational artificial intelligence and methods for industries/ edited by Vijayarangan Natarajan.
其他題名:	a machine-generated literature overview /
其他作者:	Natarajan, Vijayarangan.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 292 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-981-96-5277-8
ISBN:	9789819652778

Computational artificial intelligence and methods for industries = a machine-generated literature overview /
Computational artificial intelligence and methods for industriesa machine-generated literature overview /[electronic resource] :edited by Vijayarangan Natarajan. - Singapore :Springer Nature Singapore :2025. - xiii, 292 p. :ill., digital ;24 cm.

1. Overview of CAMS -- 2. Computations and methods -- 3. Industrial challenges and solutions -- 4. Future trends.

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.

ISBN: 9789819652778

Standard No.: 10.1007/978-981-96-5277-8doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Computational artificial intelligence and methods for industries = a machine-generated literature overview /
LDR:02753nam a22003255a 4500 001 1172210
003 DE-He213
005 20251202151758.0
006 m d
007 cr nn 008maaau
008 260625s2025 si s 0 eng d
020 $a 9789819652778 $q (electronic bk.)
020 $a 9789819652761 $q (paper)
024 7 $a 10.1007/978-981-96-5277-8 $2 doi
035 $a 978-981-96-5277-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .C738 2025
245 0 0 $a Computational artificial intelligence and methods for industries $h [electronic resource] : $b a machine-generated literature overview / $c edited by Vijayarangan Natarajan.
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xiii, 292 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Overview of CAMS -- 2. Computations and methods -- 3. Industrial challenges and solutions -- 4. Future trends.
520 $a This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Industrial engineering. $3 679492
650 0 $a Production engineering. $3 566269
650 0 $a Computational intelligence. $3 568984
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Industrial and Production Engineering. $3 593943
650 2 4 $a Computational Intelligence. $3 768837
700 1 $a Natarajan, Vijayarangan. $3 1495359
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-5277-8
950 $a Artificial Intelligence (R0) (SpringerNature-85269)