Akshansh Gupta

According to our database, Akshansh Gupta authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Local eye-net: An attention based deep learning architecture for localization of eyes.

Somsukla Maiti, Akshansh Gupta

Expert Syst. Appl., 2024

2023

Recognition of multi-cognitive tasks from EEG signals using EMD methods.

Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Javier Andreu-Perez, Chin-Teng Lin, Mukesh Prasad

Neural Comput. Appl., November, 2023

LocalEyenet: Deep Attention framework for Localization of Eyes.

Somsukla Maiti, Akshansh Gupta

CoRR, 2023

Semi-supervised Contrastive Regression for Estimation of Eye Gaze.

Somsukla Maiti, Akshansh Gupta

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2022

Temporal deep learning architecture for prediction of COVID-19 cases in India.

Hanuman Verma, Saurav Mandal, Akshansh Gupta

Expert Syst. Appl., 2022

Assessing Water Quality Index Near Industrial Regions and Aiding in Effective Water Management and Controlling Water Pollution Level.

Kakoli Banerjee, Ajay Kumar, Akshansh Gupta, Pradeep Kumar, K. G. Harsha, Gauransh Verma, P. Vinooth, Dhruv Baliyan

Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2021

On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI.

Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad

IEEE Trans. Syst. Man Cybern. Syst., 2021

2020

A hierarchical meta-model for multi-class mental task based brain-computer interfaces.

Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad

Neurocomputing, 2020

Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention.

Hanuman Verma, Akshansh Gupta, Utkarsh Niranjan

CoRR, 2020

A Two-Phase Approach for Semi-Supervised Feature Selection.

Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad

Algorithms, 2020

Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease.

Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree.

Hanuman Verma, Akshansh Gupta, Dhirendra Kumar

Pattern Recognit. Lett., 2019

EOG-Based Eye Movement Classification and Application on HCI Baseball Game.

Chin-Teng Lin, Jung-Tai King, Priyanka Bharadwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, Mukesh Prasad

IEEE Access, 2019

2018

Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram.

Chin-Teng Lin, Jung-Tai King, Avinash Kumar Singh, Akshansh Gupta, Zhenyuan Ma, Jheng-Wei Lin, Alexei Manso Corrêa Machado, Abhishek M. Appaji, Mukesh Prasad

IEEE Access, 2018

Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment.

Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh Gupta, Manoranjan Mohanty, Chin-Teng Lin

IEEE Access, 2018

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform.

Muhammad Tanveer, Akshansh Gupta, Dhirendra Kumar, Saumya Priyadarshini, Anirban Chakraborti, Rammohan Mallipeddi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

A review of clustering techniques and developments.

Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin

Neurocomputing, 2017

Fuzzy clustering-based feature extraction method for mental task classification.

Akshansh Gupta, Dhirendra Kumar

Brain Informatics, 2017

2015

Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods.

Akshansh Gupta, R. K. Agrawal, Baljeet Kaur

Soft Comput., 2015

2012

Relevant Feature Selection from EEG Signal for Mental Task Classification.

Akshansh Gupta, R. K. Agrawal

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

A three phase approach for mental task classification using EEG.

Akshansh Gupta, R. K. Agrawal, Baljeet Kaur

Proceedings of the 2012 International Conference on Advances in Computing, 2012