TY  - GEN
N2  - This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 1213 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
DO  - 10.1007/978-981-15-9290-4
DO  - doi
AB  - This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 1213 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
T1  - Intelligence enabled research :DoSIER 2020 /
AU  - Bhattacharyya, Siddhartha,
AU  - Dutta, Paramartha,
AU  - Datta, Kakali,
VL  - volume 1279
CN  - Q342
N1  - International conference proceedings.
N1  - Conference held online due to the COVID-19 pandemic.
ID  - 1432984
KW  - Computational intelligence
KW  - Intelligence informatique
SN  - 9789811592904
SN  - 981159290X
TI  - Intelligence enabled research :DoSIER 2020 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-9290-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-9290-4
ER  -