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Dr.AKSHANSH GUPTA
Dr.AKSHANSH GUPTA
CSIR-Central Electronic Engineering Research Institute Pilani
Verified email at ceeri.res.in
Title
Cited by
Cited by
Year
A review of clustering techniques and developments
A Saxena, M Prasad, A Gupta, N Bharill, OP Patel, A Tiwari, MJ Er, ...
Neurocomputing 267, 664-681, 2017
12592017
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment
CTL Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh ...
IEEE Access, 2017
4832017
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods
A Gupta, RK Agrawal, B Kaur
Soft Computing 19, 2799-2812, 2015
682015
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI
MP Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (05), 3080-3092, 2019
582019
Data-driven approach based on feature selection technique for early diagnosis of Alzheimer’s disease
S Thapa, P Singh, DK Jain, N Bharill, A Gupta, M Prasad
2020 international joint conference on neural networks (IJCNN), 1-8, 2020
522020
Temporal deep learning architecture for prediction of COVID-19 cases in India
H Verma, S Mandal, A Gupta
Expert Systems with Applications 195, 116611, 2022
512022
A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree
H Verma, A Gupta, D Kumar
Pattern Recognition Letters 122, 45-52, 2019
492019
A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
A Gupta, RU Khan, VK Singh, M Tanveer, D Kumar, A Chakraborti, ...
Neurocomputing 417, 558-584, 2020
402020
Fuzzy clustering-based feature extraction method for mental task classification
A Gupta, D Kumar
Brain informatics 4, 135-145, 2017
232017
Relevant feature selection from EEG signal for mental task classification
A Gupta, RK Agrawal
Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012
212012
A novel approach for extracting feature from eeg signal for mental task classification
A Gupta, JS Kirar
2015 international conference on computing and network communications …, 2015
142015
A hierarchical meta-model for multi-class mental task based brain-computer interfaces
A Gupta, RK Agrawal, JS Kirar, B Kaur, W Ding, CT Lin, J Andreu-Perez, ...
Neurocomputing 389, 207-217, 2020
102020
Fuzzy knowledge based performance analysis on big data
MP Neha Bharill , Aruna Tiwari , Aayushi Malviya, Om Prakash Patel ...
Neurocomputing 389, 218-228, 2020
102020
A three phase approach for mental task classification using EEG
A Gupta, RK Agrawal, B Kaur
Proceedings of the International Conference on Advances in Computing …, 2012
92012
Recognition of multi-cognitive tasks from EEG signals using EMD methods
A Gupta, D Kumar, H Verma, M Tanveer, AP Javier, CT Lin, M Prasad
Neural Computing and Applications 35 (31), 22989-23006, 2023
82023
Voice navigation effects on real-world lane change driving analysis using an electroencephalogram
CT Lin, JT King, AK Singh, A Gupta, Z Ma, JW Lin, AMC Machado, ...
IEEE Access 6, 26483-26492, 2018
72018
Performance evaluation of empirical mode decomposition algorithms for mental task classification
A Gupta, D Kumar, A Chakraborti, K Sharma
BioRxiv, 076646, 2016
72016
Comparative Performance Study of CNN-based Algorithms and YOLO
RM Shah, B Sainath, A Gupta
2022 IEEE International Conference on Electronics, Computing and …, 2022
42022
Analysis of COVID-19 cases in India through machine learning: A study of intervention
H Verma, A Gupta, U Niranjan
arXiv preprint arXiv:2008.10450, 2020
42020
Cognitive task classification using fuzzy based empirical wavelet transform
M Tanveer, A Gupta, D Kumar, S Priyadarshini, A Chakraborti, ...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
32018
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