A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm. - A. K. Das 002; Kartick Subramanian; Suresh Sundaram 002 (IJCNN, 2014)

Meta-cognitive Interval Type-2 neuro-fuzzy inference system for wind prediction. - A. K. Das 002; Suresh Sundaram 002; N. Srikanth (MFI, 2014)

A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm. - Kartick Subramanian; Ankit Kumar Das; Suresh Sundaram 002; Savitha Ramasamy (Evol. Syst., 2014)

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan; K. Subramanian 001 (FUZZ-IEEE, 2015)

An Effect-Size Based Channel Selection Algorithm for Mental Task Classification in Brain Computer Interface. - A. K. Das 002; Suresh Sundaram 002 (SMC, 2015)

An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm. - Ankit Kumar Das; Kartick Subramanian; Suresh Sundaram 002 (IEEE Trans. Fuzzy Syst., 2015)

Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach. - A. K. Das 002; Tan Teck Leong; Suresh Sundaram 002; Narasimhan Sundararajan (FUZZ-IEEE, 2016)

A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan (FUZZ-IEEE, 2016)

A robust interval Type-2 Fuzzy Inference based BCI system. - A. K. Das 002; Suresh Sundaram 002; Narasimhan Sundararajan (SMC, 2016)

A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. - A. K. Das 002; Suresh Sundaram 002; N. Sundararajan 001 (Expert Syst. Appl., 2016)

An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm. - A. K. Das 002; Nguyen Anh; Suresh Sundaram 002; Narasimalu Srikanth (Evol. Syst., 2016)

A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI. - Ankit Kumar Das; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Fuzzy Syst., 2016)

Self-regulating interval type-2 neuro-fuzzy inference system for non-stationary EEG signal processing - Ankit Kumar Das (2017)

Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques. - Yan Shen; Feng Yang 011; Mohamed Salahuddin Habibullah; Jhinaoui Ahmed; Ankit Kumar Das; Yu Zhou; Choon Lim Ho (J. Intell. Manuf., 2021)

Image Inpainting of Synthetic Images Generated from Textual Data. - Ankit Kumar Das; Joita Mitra; A. Helen Victoria (ICCCNT, 2023)

Optical coherence tomography choroidal enhancement using generative deep learning. - Valentina Bellemo; Ankit Kumar Das; Syna Sreng; Jacqueline Chua; Damon Wing Kee Wong; Janika Shah; Rahul Jonas; Bingyao Tan; Xinyu Liu; Xinxing Xu; Gavin Siew Wei Tan; Rupesh Agrawal; et al. (npj Digit. Medicine, 2024)