Sudipta Bhattacharya
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Sudipta Bhattacharya has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Samarjeet Borah
Sikkim Manipal University
3 shared publications - Brojo Kishore Mishra
Department of Computer Science and Engineering, NIST University, Berhampur 761008, India
2 shared publications - Atreyee Mondal
Techno International New Town
1 shared publication - Brojo Kishore Mishra
GIET University
1 shared publication Durjoy Majumder
Department of Physiology, West Bengal State University, Berunanpukuria, Malikapur, Barasat, 24 Pgs (N), Kolkata - 700 126, W. B., India
1 shared publication- Nabanita Das
Bengal Institute of Technology, Kolkata, India
1 shared publication
Latest Publications
- 22 September 2023
- Published by Springer Nature
- p. 171-188
Multilingual and Cross Lingual Audio Emotion Analysis Using RNN
- 22 September 2023
- Published by Springer Nature
- p. 171-188
Multilingual and Cross Lingual Audio Emotion Analysis Using RNN
- 26 August 2023
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 83 (9) , 25969-26007
Cross-lingual deep learning model for gender-based emotion detection
- 26 August 2023
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 83 (9) , 25969-26007
Cross-lingual deep learning model for gender-based emotion detection
- 20 May 2022
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (28) , 41309-41338
Emotion detection from multilingual audio using deep analysis
- 20 May 2022
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (28) , 41309-41338
Emotion detection from multilingual audio using deep analysis
- 1 January 2009
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 92-97
An analytical approach for tracking the tumor systems dynamics
Solid tumor survives by the generation of micro-vessels around it. This phenomenon is known as angiogenesis. Angiogenesis is governed by two factors, namely Tumor Angiogenic Factor (TAF) secreted by the tumor cells and tissue Fibronectin (FNT) concentration in the extra-cellular space. These two factors help in mobilization of endothelial cells from nearby blood vessels. At the initial phase of angiogenesis, neighboring blood vessels affect in formation of capillary sprouts. In this work we have develop an analytical model to make a correlation between tumor system, vasculature system of the cancer milieu and peripheral blood circulatory system. This, in turn, could be an effective and clinically relevant approach for tracking the tumor growth and its angiogenesis with a quantitative manner.
- 1 January 2009
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 92-97
An analytical approach for tracking the tumor systems dynamics
Solid tumor survives by the generation of micro-vessels around it. This phenomenon is known as angiogenesis. Angiogenesis is governed by two factors, namely Tumor Angiogenic Factor (TAF) secreted by the tumor cells and tissue Fibronectin (FNT) concentration in the extra-cellular space. These two factors help in mobilization of endothelial cells from nearby blood vessels. At the initial phase of angiogenesis, neighboring blood vessels affect in formation of capillary sprouts. In this work we have develop an analytical model to make a correlation between tumor system, vasculature system of the cancer milieu and peripheral blood circulatory system. This, in turn, could be an effective and clinically relevant approach for tracking the tumor growth and its angiogenesis with a quantitative manner.