Review on machine and deep learning models for the detection and prediction of Coronavirus AW Salehi, P Baglat, G Gupta Materials Today: Proceedings 33, 3896-3901, 2020 | 98 | 2020 |
A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI AW Salehi, P Baglat, BB Sharma, G Gupta, A Upadhya 2020 International Conference on Smart Electronics and Communication (ICOSEC …, 2020 | 49 | 2020 |
Alzheimer’s disease diagnosis using deep learning techniques AW Salehi, P Baglat, G Gupta Int. J. Eng. Adv. Technol 9 (3), 874-880, 2020 | 24 | 2020 |
Multiple machine learning models for detection of Alzheimer’s disease using OASIS dataset P Baglat, AW Salehi, A Gupta, G Gupta Re-imagining Diffusion and Adoption of Information Technology and Systems: A …, 2020 | 17 | 2020 |
Multi-factor biometric authentication approach for fog computing to ensure security perspective F Ahmadi, G Gupta, SR Zahra, P Baglat, P Thakur 2021 8th international conference on computing for sustainable global …, 2021 | 8 | 2021 |
Detecting verbal and non-verbal gestures using earables M Laporte, P Baglat, S Gashi, M Gjoreski, S Santini, M Langheinrich Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 7 | 2021 |
Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images A Hayat, P Baglat, F Mendonça, SS Mostafa, F Morgado-Dias International Journal of Environmental Research and Public Health 20 (2), 1268, 2023 | 2 | 2023 |
Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review P Baglat, A Hayat, F Mendonça, A Gupta, SS Mostafa, F Morgado-Dias Sensors 23 (2), 738, 2023 | | 2023 |
Agrotech–sensing use cases N Silva, G Machado, I Viveiros, H Garcês, F Silva, R Sousa, R Gouveia, ... | | |