TY - GEN N2 - This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications. DO - 10.1007/978-981-19-8493-8 DO - doi AB - This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications. T1 - Computational intelligence for engineering and management applications :select proceedings of CIEMA 2022 / AU - Chatterjee, Prasenjit, AU - Pamucar, Dragan, AU - Yazdani, Morteza, AU - Panchal, Dilbagh, VL - volume 984 CN - Q342 ID - 1463731 KW - Computational intelligence KW - Engineering KW - Management SN - 9789811984938 SN - 981198493X TI - Computational intelligence for engineering and management applications :select proceedings of CIEMA 2022 / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8493-8 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8493-8 ER -