| An evolving interval type-2 neurofuzzy inference system and its metacognitive sequential learning algorithm AK Das, K Subramanian, S Sundaram IEEE Transactions on Fuzzy Systems 23 (6), 2080-2093, 2015 | 86 | 2015 |
| A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm K Subramanian, AK Das, S Sundaram, S Ramasamy Evolving Systems 5, 219-230, 2014 | 75 | 2014 |
| Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques Y Shen, F Yang, MS Habibullah, J Ahmed, AK Das, Y Zhou, CL Ho Journal of Intelligent Manufacturing 32, 1753-1766, 2021 | 62 | 2021 |
| A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification AK Das, S Suresh, N Sundararajan Expert Systems with Applications 64, 375-384, 2016 | 43 | 2016 |
| A self-regulated interval type-2 neuro-fuzzy inference system for handling nonstationarities in EEG signals for BCI AK Das, S Sundaram, N Sundararajan IEEE Transactions on Fuzzy Systems 24 (6), 1565-1577, 2016 | 43 | 2016 |
| High-content image generation for drug discovery using generative adversarial networks S Hussain, A Anees, A Das, BP Nguyen, M Marzuki, S Lin, G Wright, ... Neural Networks 132, 353-363, 2020 | 31 | 2020 |
| An effect-size based channel selection algorithm for mental task classification in brain computer interface AK Das, S Suresh 2015 IEEE International Conference on Systems, Man, and Cybernetics, 3140-3145, 2015 | 22 | 2015 |
| An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm AK Das, N Anh, S Suresh, N Srikanth Evolving Systems 7, 95-105, 2016 | 17 | 2016 |
| Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation A Das, S Hussain, F Yang, MS Habibullah, A Kumar TENCON 2019, 2019 | 16 | 2019 |
| A computationally fast interval type-2 neuro-fuzzy inference system and its meta-cognitive projection based learning algorithm AK Das, K Subramanian, S Suresh 2014 International Joint Conference on Neural Networks (IJCNN), 1510-1516, 2014 | 12 | 2014 |
| A subject-specific frequency band selection for efficient BCI-an interval type-2 fuzzy inference system approach AK Das, S Suresh, N Sundararajan, K Subramanian 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015 | 10 | 2015 |
| Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control-an EEG based approach AK Das, TT Leong, S Suresh, N Sundararajan 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2501-2507, 2016 | 8 | 2016 |
| Tool wear health monitoring with limited degradation data A Das, F Yang, MS Habibullah, Z Yu, F Farbiz TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1103-1108, 2019 | 7 | 2019 |
| A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification AK Das, S Suresh, N Sundararajan 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 751-758, 2016 | 7 | 2016 |
| Meta-cognitive interval type-2 neuro-fuzzy inference system for wind prediction AK Das, S Suresh, N Srikanth 2014 International Conference on Multisensor Fusion and Information …, 2014 | 7 | 2014 |
| A robust interval Type-2 Fuzzy Inference based BCI system AK Das, S Suresh, N Sundararajan 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 3 | 2016 |
| Optical coherence tomography choroidal enhancement using generative deep learning V Bellemo, A Kumar Das, S Sreng, J Chua, D Wong, J Shah, R Jonas, ... NPJ Digital Medicine 7 (1), 115, 2024 | 2 | 2024 |
| Cross-modality optical coherence tomography image enhancement using deep learning V Bellemo, A Kumar, D Wong, J Chua, X Xu, X Liu, L Yong, L Schmetterer Investigative Ophthalmology & Visual Science 64 (8), 235-235, 2023 | 2 | 2023 |
| A Perspective into Analysing Tool Wear Condition in Hard-Turning Process—The Key Lessons Learnt MS Habibullah, Y Shen, F Yang, S Aggarwal, Y Zhou, S Hussain, AK Das, ... Implementing Industry 4.0: The Model Factory as the Key Enabler for the …, 2021 | 2 | 2021 |
| DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells S Hussain, A Das, BP Nguyen, M Marzuki, S Lin, A Kumar, G Wright, ... TENCON 2019, 2019 | 2 | 2019 |
Suresh SundaramProfessor, Department of Aerospace Engineering, Indian Institute of Science在 iisc.ac.in 的电子邮件经过验证
