| A study of deep learning approach for the classification of Electroencephalogram (EEG) brain signals D Pathak, R Kashyap, S Rahamatkar Artificial intelligence and machine learning for EDGE computing, 133-144, 2022 | 64 | 2022 |
| Electroencephalogram-based deep learning framework for the proposed solution of e-learning challenges and limitations D Pathak, R Kashyap International Journal of Intelligent Information and Database Systems 15 (3 …, 2022 | 56 | 2022 |
| Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks. D Pathak, R Kashyap Traitement du Signal 40 (4), 2023 | 49 | 2023 |
| NOVA: Hybrid book recommendation engine D Pathak, S Matharia, CNS Murthy 2013 3rd IEEE international advance computing conference (IACC), 977-982, 2013 | 34 | 2013 |
| ORBIT: Hybrid movie recommendation engine D Pathak, S Matharia, CNS Murthy 2013 IEEE International Conference ON Emerging Trends in Computing …, 2013 | 24 | 2013 |
| A review of the classification of neuroscience problems with the help of deep learning framework D Pathak, R Kashyap 2021 5th International Conference on Information Systems and Computer …, 2021 | 5 | 2021 |
| Evaluating E-learning Engagement Through EEG Signal Analysis with Convolutional Neural Networks D Pathak, R Kashyap International Conference on Computer & Communication Technologies, 225-239, 2023 | | 2023 |
| EEG-based Deep learning framework for the plausible solution of current E-learning challenges D Pathak, R Kashyap International Journal Of Computing and Digital System, 2021 | | 2021 |
| Data mining of WHO data warehouse with PASW modeler S Masih, S Dubey, D Pathak, N Rahatekar 2011 3rd International Conference on Electronics Computer Technology 6, 52-56, 2011 | | 2011 |
