Akshansh Gupta

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 21

Top Topics

Water Pollution

Wavelet Transform

Feature Selection

Top Venues

Expert Syst. Appl.

Publications

Somsukla Maiti, Akshansh Gupta
Local eye-net: An attention based deep learning architecture for localization of eyes. Expert Syst. Appl. 239 (2024)
Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Andreu Perez Javier, Chin-Teng Lin, Mukesh Prasad
Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Comput. Appl. 35 (31) (2023)
Somsukla Maiti, Akshansh Gupta
LocalEyenet: Deep Attention framework for Localization of Eyes. CoRR (2023)
Somsukla Maiti, Akshansh Gupta
Semi-supervised Contrastive Regression for Estimation of Eye Gaze. CoRR (2023)
Somsukla Maiti, Akshansh Gupta
Semi-supervised Contrastive Regression for Estimation of Eye Gaze. PReMI (2023)
Kakoli Banerjee, Ajay Kumar, Akshansh Gupta, Pradeep Kumar, K. G. Harsha, Gauransh Verma, P. Vinooth, Dhruv Baliyan
Assessing Water Quality Index Near Industrial Regions and Aiding in Effective Water Management and Controlling Water Pollution Level. IC3I (2022)
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Temporal deep learning architecture for prediction of COVID-19 cases in India. Expert Syst. Appl. 195 (2022)
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India. CoRR (2021)
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR (2021)
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51 (5) (2021)
Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. IJCNN (2020)
Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389 (2020)
Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13 (9) (2020)
Hanuman Verma, Akshansh Gupta, Utkarsh Niranjan
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention. CoRR (2020)
Chin-Teng Lin, Jung-Tai King, Priyanka Bharadwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, Mukesh Prasad
EOG-Based Eye Movement Classification and Application on HCI Baseball Game. IEEE Access 7 (2019)
Hanuman Verma, Akshansh Gupta, Dhirendra Kumar
A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree. Pattern Recognit. Lett. 122 (2019)
Muhammad Tanveer, Akshansh Gupta, Dhirendra Kumar, Saumya Priyadarshini, Anirban Chakraborti, Rammohan Mallipeddi
Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. SMC (2018)
Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh Gupta, Manoranjan Mohanty, Chin-Teng Lin
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access 6 (2018)
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
Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram. IEEE Access 6 (2018)
Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin
A review of clustering techniques and developments. Neurocomputing 267 (2017)
Akshansh Gupta, Dhirendra Kumar
Fuzzy clustering-based feature extraction method for mental task classification. Brain Informatics 4 (2) (2017)
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. Soft Comput. 19 (10) (2015)
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
A three phase approach for mental task classification using EEG. ICACCI (2012)
Akshansh Gupta, R. K. Agrawal
Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) (2012)