國立虎尾科技大學 |

A primer on electric vehicles in India = 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:	A primer on electric vehicles in India/ edited by Saon Ray, Deb Mukherji.
其他題名:	a machine-generated literature overview /
其他作者:	Ray, Saon.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xi, 287 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Electric vehicles - Abstracts. - India -
電子資源:	https://doi.org/10.1007/978-981-97-8966-5
ISBN:	9789819789665

A primer on electric vehicles in India = a machine-generated literature overview /
A primer on electric vehicles in Indiaa machine-generated literature overview /[electronic resource] :edited by Saon Ray, Deb Mukherji. - Singapore :Springer Nature Singapore :2025. - xi, 287 p. :ill., digital ;24 cm.

Introduction -- Sourcing Minerals for the Battery -- Technology for EVs -- Value Chain for Manufacture and Assembly -- Imports and Exports of Components -- FDI and Investment Gap in the EV Sector -- PoliciesRegulations at the Central Level and States -- Financing EV Transition in India -- Skills and Workforce Training -- Conclusion and Way Ahead.

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: 9789819789665

Standard No.: 10.1007/978-981-97-8966-5doiSubjects--Topical Terms:

1487454
Electric vehicles
--India--Abstracts.

LC Class. No.: TL220

Dewey Class. No.: 629.2293

A primer on electric vehicles in India = a machine-generated literature overview /
LDR:02950nam a2200325 a 4500 001 1160407
003 DE-He213
005 20241128115235.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819789665 $q (electronic bk.)
020 $a 9789819789658 $q (paper)
024 7 $a 10.1007/978-981-97-8966-5 $2 doi
035 $a 978-981-97-8966-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TL220
072 7 $a TGBN $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TGBN $2 thema
082 0 4 $a 629.2293 $2 23
090 $a TL220 $b .P953 2025
245 0 2 $a A primer on electric vehicles in India $h [electronic resource] : $b a machine-generated literature overview / $c edited by Saon Ray, Deb Mukherji.
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xi, 287 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Sourcing Minerals for the Battery -- Technology for EVs -- Value Chain for Manufacture and Assembly -- Imports and Exports of Components -- FDI and Investment Gap in the EV Sector -- PoliciesRegulations at the Central Level and States -- Financing EV Transition in India -- Skills and Workforce Training -- Conclusion and Way Ahead.
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 Electric vehicles $z India $v Abstracts. $3 1487454
650 1 4 $a Engine Technology. $3 881220
650 2 4 $a Vehicle Engineering. $3 1366163
650 2 4 $a Automotive Engineering. $3 683772
650 2 4 $a Mechanical Engineering. $3 670827
650 2 4 $a Economics. $3 555568
700 1 $a Ray, Saon. $3 1207345
700 1 $a Mukherji, Deb. $3 1487453
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-8966-5
950 $a Engineering (SpringerNature-11647)