A. K. Das

According to our database, A. K. Das authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Daniel Shu Wei Ting, Liu Yong, Leopold Schmetterer

npj Digit. Medicine, 2024

2023

Image Inpainting of Synthetic Images Generated from Textual Data.

Ankit Kumar Das, Joita Mitra, A. Helen Victoria

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2021

Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques.

Yan Shen, Feng Yang, Mohamed Salahuddin Habibullah, Jhinaoui Ahmed, Ankit Kumar Das, Yu Zhou, Choon Lim Ho

J. Intell. Manuf., 2021

2017

Self-regulating interval type-2 neuro-fuzzy inference system for non-stationary EEG signal processing

Ankit Kumar Das

PhD thesis, 2017

2016

A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI.

Ankit Kumar Das, Suresh Sundaram, Narasimhan Sundararajan

IEEE Trans. Fuzzy Syst., 2016

An interval type-2 fuzzy inference system and its meta-cognitive learning algorithm.

A. K. Das, Nguyen Anh, Suresh Sundaram, Narasimalu Srikanth

Evol. Syst., 2016

A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification.

A. K. Das, Suresh Sundaram, N. Sundararajan

Expert Syst. Appl., 2016

A robust interval Type-2 Fuzzy Inference based BCI system.

A. K. Das, Suresh Sundaram, Narasimhan Sundararajan

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification.

A. K. Das, Suresh Sundaram, Narasimhan Sundararajan

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach.

A. K. Das, Tan Teck Leong, Suresh Sundaram, Narasimhan Sundararajan

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm.

Ankit Kumar Das, Kartick Subramanian, Suresh Sundaram

IEEE Trans. Fuzzy Syst., 2015

An Effect-Size Based Channel Selection Algorithm for Mental Task Classification in Brain Computer Interface.

A. K. Das, Suresh Sundaram

Proceedings of the 2015 IEEE International Conference on Systems, 2015

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach.

A. K. Das, Suresh Sundaram, Narasimhan Sundararajan, K. Subramanian

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm.

Kartick Subramanian, Ankit Kumar Das, Suresh Sundaram, Savitha Ramasamy

Evol. Syst., 2014

Meta-cognitive Interval Type-2 neuro-fuzzy inference system for wind prediction.

A. K. Das, Suresh Sundaram, N. Srikanth

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm.

A. K. Das, Kartick Subramanian, Suresh Sundaram

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014