Mainak Chakraborty
Orcid: 0000-0003-3188-3072
According to our database1,
Mainak Chakraborty authored at least 16 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Deep Multi-Class Novelty Detection in Structural Vibrations With Modified Contrastive Loss.
IEEE Trans. Mob. Comput., January, 2026
Complex-Valued Convolutional Neural Network With Learnable Activation Function for Frequency-Domain Radar Signal Processing.
IEEE Trans. Aerosp. Electron. Syst., 2026
Expert Syst. Appl., 2026
2025
CoRR, March, 2025
FMCW Radar-Based Human Activity Recognition: A Machine Learning Approach for Elderly Care.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samples.
Neural Comput. Appl., November, 2024
2023
Enhancing Person Identification Through Data Augmentation of Footstep-Based Seismic Signals.
IEEE Signal Process. Lett., 2023
2022
DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition.
Dataset, October, 2022
Dataset, September, 2022
DIAT-RadSATNet - A Novel Lightweight DCNN Architecture for Micro-Doppler-Based Small Unmanned Aerial Vehicle (SUAV) Targets' Detection and Classification.
IEEE Trans. Instrum. Meas., 2022
DIAT-RadHARNet: A Lightweight DCNN for Radar Based Classification of Human Suspicious Activities.
IEEE Trans. Instrum. Meas., 2022
Application of DNN for radar micro-doppler signature-based human suspicious activity recognition.
Pattern Recognit. Lett., 2022
DIAT-μSAT: Small Aerial Targets' Micro-Doppler Signatures and Their Classification Using CNN.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection.
Appl. Intell., 2021