TY  - GEN
AB  - This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 910, 2022. The book focuses on the research information related to artificial intelligence, sustainability and expert systems applied in almost all the areas of industries, government sectors and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.
AU  - Shakya, Subarna,
AU  - Balas, Valentina Emilia,
AU  - Haoxiang, Wang,
CN  - QA76.76.E95
DO  - 10.1007/978-981-19-7874-6
DO  - doi
ID  - 1455018
KW  - Expert systems (Computer science)
KW  - Expert systems (Computer science)
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7874-6
N1  - Includes author index.
N2  - This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 910, 2022. The book focuses on the research information related to artificial intelligence, sustainability and expert systems applied in almost all the areas of industries, government sectors and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.
SN  - 9789811978746
SN  - 9811978743
T1  - Proceedings of Third International Conference on Sustainable Expert Systems :ICSES 2022 /
TI  - Proceedings of Third International Conference on Sustainable Expert Systems :ICSES 2022 /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7874-6
VL  - volume 587
ER  -