| MIDNN-a classification approach for the EEG based motor imagery tasks using deep neural network S Tiwari, S Goel, A Bhardwaj Applied Intelligence, 1-20, 2022 | 30 | 2022 |
| Machine learning approach for the classification of EEG signals of multiple imagery tasks S Tiwari, S Goel, A Bhardwaj 2020 11th International Conference on Computing, Communication and …, 2020 | 17 | 2020 |
| EEG signals to digit classification using deep learning-based one-dimensional convolutional neural network S Tiwari, S Goel, A Bhardwaj Arabian Journal for Science and Engineering 48 (8), 9675-9691, 2023 | 3 | 2023 |
| Improving Weed Detection Using Deep Learning Techniques S Gupta, M Kumar, B Govinda Satyanarayana, S Aribam, S Tiwari, ... Proceedings of 6th International Conference on Recent Trends in Computing …, 2021 | 2 | 2021 |
| Affects in tweets with real time emotions using deep learning techniques: a novel approach RK Kaliyar, K Ram, A Sharma, S Tiwari, N Ahuja, M Agrawal 2020 10th International Conference on Cloud Computing, Data Science …, 2020 | 1 | 2020 |
| Classification of imagined speech of vowels from EEG signals using multi-headed CNNs feature fusion network S Tiwari, S Goel, A Bhardwaj Digital Signal Processing, 104447, 2024 | | 2024 |
| Brain waves to motor imagery tasks classification Using machine learning approaches S Tiwari Bennett university, 2022 | | 2022 |
