Folgen
Soumyajit Poddar
Soumyajit Poddar
Technical Advisor, Electrolab, West Bengal, India
Keine bestätigte E-Mail-Adresse
Titel
Zitiert von
Zitiert von
Jahr
FPGA based deep learning models for object detection and recognition comparison of object detection comparison of object detection models using FPGA
SP Kaarmukilan, S Poddar
2020 Fourth international conference on computing methodologies and …, 2020
292020
Area and energy efficient shift and accumulator unit for object detection in IoT applications
A Hazarika, S Poddar, MM Nasralla, H Rahaman
Alexandria Engineering Journal 61 (1), 795-809, 2022
192022
Survey on memory management techniques in heterogeneous computing systems
A Hazarika, S Poddar, H Rahaman
IET Computers & Digital Techniques 14 (2), 47-60, 2020
142020
iKardo: An Intelligent ECG device for automatic critical beat identification for smart healthcare
P Maji, HK Mondal, AP Roy, S Poddar, SP Mohanty
IEEE Transactions on Consumer Electronics 67 (4), 235-243, 2021
122021
Design of an NoC with on-chip photonic interconnects using adaptive CDMA links
S Poddar, P Ghosal, P Mukherjee, S Samui, H Rahaman
2012 IEEE International SOC Conference, 352-357, 2012
112012
An accelerated prototype with movidius neural compute stick for real-time object detection
SP Kaarmukilan, A Hazarika, S Poddar, H Rahaman
2020 International Symposium on Devices, Circuits and Systems (ISDCS), 1-5, 2020
102020
Multicore Technology: Architecture, Reconfiguration, and Modeling
MY Qadri, SJ Sangwine
CRC Press, 2013
82013
Effi‑ciency comparison between different algorithms for maximum power point tracker of a solar system
M Rahman, S Poddar, M Mamun, S Mahmud, M Yeasin
International Journal of Scientific Research and Management (IJSRM) 1, 157-167, 2013
62013
Hardware efficient convolution processing unit for deep neural networks
A Hazarika, S Poddar, H Rahaman
2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS), 1-4, 2019
42019
3d NoC: a promising alternative for tomorrow’s nanosystem design
P Ghosal, TS Das, S Poddar, MM Rahaman, A Bose
Nano-CMOS and Post-CMOS Electronics: Circuits and Design, 337-377, 2016
42016
High performance kernel architecture for convolutional neural network acceleration
A Hazarika, S Poddar, H Rahaman
Journal of Circuits, Systems and Computers 30 (15), 2150266, 2021
32021
Forearm orientation invariant analysis for surface myoelectric pattern recognition
AK Mukhopadhyay, S Poddar, S Samui
2020 IEEE International Symposium on Smart Electronic Systems (iSES …, 2020
32020
Image classification based on approximate wavelet transform and transfer learning on deep convolutional neural networks
M Acharya, S Poddar, A Chakrabarti, H Rahaman
2020 International Symposium on Devices, Circuits and Systems (ISDCS), 1-6, 2020
32020
Shift and accumulate convolution processing unit
A Hazarika, A Jain, S Poddar, H Rahaman
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 914-919, 2019
32019
Design of a high-performance cdma-based broadcast-free photonic multi-core network on chip
S Poddar, P Ghosal, H Rahaman
ACM Transactions on Embedded Computing Systems (TECS) 15 (1), 1-30, 2016
32016
Learning to synthesize faces using voice clips for Cross-Modal biometric matching
P Agarwal, S Poddar, A Hazarika, H Rahaman
2019 IEEE Region 10 Symposium (TENSYMP), 397-402, 2019
22019
Progress in VLSI Design and Test: 16th International Symposium on VSLI Design and Test, VDAT 2012, Shipur, India, July 1-4, 2012, Proceedings
H Rahaman, S Chattopadhyay, S Chattopadhyay
Springer, 2012
22012
Hardware accelerator for efficient convolution processing
S Poddar, A Hazarika, PCRJ Naidu, H Rahaman
US Patent 11,797,345, 2023
12023
Cardiac anomaly detection using embedded attractors reconstructed from multichannel ECG
BB Purkayastha, A Hazarika, A Thomas, S Poddar
Proceedings of the 2022 9th International Conference on Biomedical and …, 2022
12022
Method for real time surface tracking in unstructured environments
S Poddar, AT Kakkassery, PCRJ Naidu
US Patent 11,315,257, 2022
12022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20