TY  - GEN
N2  - The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
DO  - 10.1007/978-981-99-0981-0
DO  - doi
AB  - The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
T1  - Advances in data-driven computing and intelligent systems :selected papers from ADCIS 2022.
DA  - 2023.
CY  - Singapore :
AU  - Das, Swagatam.
AU  - Saha, Snehanshu.
AU  - Coello Coello, Carlos A.
AU  - Bansal, Jagdish Chand.
VL  - v.653
CN  - QA76.76.E95
PB  - Springer,
PP  - Singapore :
PY  - 2023.
N1  - Speaker Identification Using Ensemble Learning With Deep Convolutional Features
N1  - Includes author index.
ID  - 1469955
KW  - Expert systems (Computer science)
KW  - Computational intelligence
SN  - 9789819909810
SN  - 9819909813
TI  - Advances in data-driven computing and intelligent systems :selected papers from ADCIS 2022.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0981-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0981-0
ER  -