TY  - GEN
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.
DO  - 10.1007/978-981-19-7874-6
DO  - doi
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.
T1  - Proceedings of Third International Conference on Sustainable Expert Systems :ICSES 2022 /
AU  - Shakya, Subarna,
AU  - Balas, Valentina Emilia,
AU  - Haoxiang, Wang,
VL  - volume 587
CN  - QA76.76.E95
N1  - Includes author index.
ID  - 1455018
KW  - Expert systems (Computer science)
KW  - Expert systems (Computer science)
SN  - 9789811978746
SN  - 9811978743
TI  - Proceedings of Third International Conference on Sustainable Expert Systems :ICSES 2022 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7874-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7874-6
ER  -