TY  - GEN
N2  - This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of VersaillesParis-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.
DO  - 10.1007/978-981-99-1620-7
DO  - doi
AB  - This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of VersaillesParis-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.
T1  - Machine intelligence and data science applications :proceedings of MIDAS 2022 /
AU  - Ramdane-Cherif, Amar,
AU  - Singh, T. P.,
AU  - Tomar, Ravi,
AU  - Choudhury, Tanupriya,
AU  - Um, Jung-Sup,
CN  - Q334
N1  - Includes author index.
ID  - 1480812
KW  - Intelligence artificielle
KW  - Artificial intelligence
SN  - 9789819916207
SN  - 9819916208
TI  - Machine intelligence and data science applications :proceedings of MIDAS 2022 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1620-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1620-7
ER  -