| A review of clustering techniques and developments A Saxena, M Prasad, A Gupta, N Bharill, OP Patel, A Tiwari, MJ Er, ... Neurocomputing 267, 664-681, 2017 | 1244 | 2017 |
| Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment CTL Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh ... IEEE Access, 2017 | 477 | 2017 |
| Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods A Gupta, RK Agrawal, B Kaur Soft Computing 19, 2799-2812, 2015 | 68 | 2015 |
| On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI MP Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (05), 3080-3092, 2019 | 58 | 2019 |
| Data-driven approach based on feature selection technique for early diagnosis of Alzheimer’s disease S Thapa, P Singh, DK Jain, N Bharill, A Gupta, M Prasad 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 51 | 2020 |
| Temporal deep learning architecture for prediction of COVID-19 cases in India H Verma, S Mandal, A Gupta Expert Systems with Applications 195, 116611, 2022 | 50 | 2022 |
| A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree H Verma, A Gupta, D Kumar Pattern Recognition Letters 122, 45-52, 2019 | 47 | 2019 |
| A novel approach for classification of mental tasks using multiview ensemble learning (MEL) A Gupta, RU Khan, VK Singh, M Tanveer, D Kumar, A Chakraborti, ... Neurocomputing 417, 558-584, 2020 | 40 | 2020 |
| Fuzzy clustering-based feature extraction method for mental task classification A Gupta, D Kumar Brain informatics 4, 135-145, 2017 | 23 | 2017 |
| Relevant feature selection from EEG signal for mental task classification A Gupta, RK Agrawal Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012 | 21 | 2012 |
| A novel approach for extracting feature from eeg signal for mental task classification A Gupta, JS Kirar 2015 international conference on computing and network communications …, 2015 | 14 | 2015 |
| A hierarchical meta-model for multi-class mental task based brain-computer interfaces A Gupta, RK Agrawal, JS Kirar, B Kaur, W Ding, CT Lin, J Andreu-Perez, ... Neurocomputing 389, 207-217, 2020 | 10 | 2020 |
| Fuzzy knowledge based performance analysis on big data MP Neha Bharill , Aruna Tiwari , Aayushi Malviya, Om Prakash Patel ... Neurocomputing 389, 218-228, 2020 | 10 | 2020 |
| A three phase approach for mental task classification using EEG A Gupta, RK Agrawal, B Kaur Proceedings of the International Conference on Advances in Computing …, 2012 | 9 | 2012 |
| Recognition of multi-cognitive tasks from EEG signals using EMD methods A Gupta, D Kumar, H Verma, M Tanveer, AP Javier, CT Lin, M Prasad Neural Computing and Applications 35 (31), 22989-23006, 2023 | 8 | 2023 |
| Voice navigation effects on real-world lane change driving analysis using an electroencephalogram CT Lin, JT King, AK Singh, A Gupta, Z Ma, JW Lin, AMC Machado, ... IEEE Access 6, 26483-26492, 2018 | 7 | 2018 |
| Performance evaluation of empirical mode decomposition algorithms for mental task classification A Gupta, D Kumar, A Chakraborti, K Sharma BioRxiv, 076646, 2016 | 7 | 2016 |
| Analysis of COVID-19 cases in India through machine learning: A study of intervention H Verma, A Gupta, U Niranjan arXiv preprint arXiv:2008.10450, 2020 | 4 | 2020 |
| Comparative Performance Study of CNN-based Algorithms and YOLO RM Shah, B Sainath, A Gupta 2022 IEEE International Conference on Electronics, Computing and …, 2022 | 3 | 2022 |
| Cognitive task classification using fuzzy based empirical wavelet transform M Tanveer, A Gupta, D Kumar, S Priyadarshini, A Chakraborti, ... 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 3 | 2018 |
Mukesh PrasadUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
