Publications

Journals

1. B.K. Pandit and A. Banerjee, 3D EdgeSegNET: a deep neural network framework for simultaneous edge detection and segmentation of medical images. SIViP 17, 2981–2989 (2023). https://doi.org/10.1007/s11760-023-02518-x

Conference Proceedings

1. A. Ther, B. Kumar Pandit, A. Ganguly, A. Chakraborty and A. Banerjee, "Resource-efficient VLSI Architecture of Softmax Activation Function for Real-time Inference in Deep Learning Applications," 2023 International Symposium on Devices, Circuits and Systems (ISDCS), Higashihiroshima, Japan, 2023, pp. 01-05, doi: 10.1109/ISDCS58735.2023.10153520.
2. A. Ther, B. K. Pandit and A. Banerjee, "VLSI Architecture of Generalized Pooling for Hardware Acceleration of Convolutional Neural Networks," 2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC), Sri City, India, 2023, pp. 1-5, doi: 10.1109/ESDC56251.2023.10149878.
3. R. Dey, B. K. Pandit, A. Ganguly, A. Chakraborty and A. Banerjee, "Deep Neural Network Based Multi-Object Detection for Real-time Aerial Surveillance," 2023 11th International Symposium on Electronic Systems Devices and Computing (ESDC), Sri City, India, 2023, pp. 1-6, doi: 10.1109/ESDC56251.2023.10149866.
4. D. Kumar, A. Ganguly, P. Chakraborty, A. Chakraborty, B. K. Pandit and A. Banerjee, "Low Power and High Precision Analog VLSI Design of 1-D DCT for Real-time Application," 2022 IEEE Region 10 Symposium (TENSYMP), Mumbai, India, 2022, pp. 1-5, doi: 10.1109/TENSYMP54529.2022.9864386.
5. S. Chowdhury, B. K. Pandit and A. Banerjee, "Computation-Efficient and Multiplierless Hardware Realization of Decimation in Time FFT," 2022 IEEE Region 10 Symposium (TENSYMP), Mumbai, India, 2022, pp. 1-6, doi: 10.1109/TENSYMP54529.2022.9864458.
6. B. K. Pandit and A. Banerjee, "VLSI Architecture of Sigmoid Activation Function for Rapid Prototyping of Machine Learning Applications," 2021 IEEE International Symposium on Smart Electronic Systems (iSES), Jaipur, India, 2021, pp. 117-122, doi: 10.1109/iSES52644.2021.00036.