Journal
A machine-learning-enabled smart neckband for monitoring dietary intake
(DOI: 10.1093/pnasnexus/pgae156)
Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal
(DOI: 10.1109/JTEHM.2022.3217428)
S2C-DeLeNet: A parameter transfer based segmentation-classification integration for detecting skin cancer lesions from dermoscopic images
(DOI: https://doi.org/10.1016/j.compbiomed.2022.106148)
Sleep Apnea Detection from Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM, IEEE Access (DOI: 10.1109/ACCESS.2021.3097090)
Conference
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values
Under review of CVPR'25, DOI: 10.48550/arXiv.2409.01966
Deep Convolutional Neural Network Based Sleep Apnea Detection Scheme Using Spectrotemporal Subframes of EEG Signal
(DOI: https://ieeexplore.ieee.org/document/9393059)
DenseLinkNet: A Deep Convolutional Architecture for Automatic Segmentation of Corneal Endothelial Cell
(DOI: 10.1109/ICECE57408.2022.10088845)
Dense-par-AttNet: An Attention Based Deep Learning Model For Skin Lesion Classification By Transfer Learning Approach
(DOI: 10.1109/IICAIET55139.2022.9936758)
Motor Imagery Hand Movement Classification Using Attention Network Integrated Inception Model
(DOI: 10.1109/ICECE57408.2022.10088601)
Sleep Apnea Event Detection From Subframe-Based Feature Variation In EEG Signal Using Deep Convolutional Neural Network
(DOI: https://ieeexplore.ieee.org/document/9176433)
A Sub-frame Based Feature Extraction Approach From Split-band EEG Signal For Sleep Apnea Event Detection Using Multilayer LSTM
(DOI: https://ieeexplore.ieee.org/document/9230848)
Real Time Sleep Apnea Event Detection With Deep Neural Network
(DOI: https://ieeexplore.ieee.org/document/9063197)
Complete Automation Of An E-commerce System With Internet of Things
(DOI: https://ieeexplore.ieee.org/document/9087509)
Preprint
Heart Abnormality Detection from Heart Sound Signals using MFCC Feature and Dual Stream Attention Based Network