Akshansh Gupta

发表

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

Hanuman Verma, M. Prasad, Akshansh Gupta, 2022, Neural Computing and Applications.

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

Akshansh Gupta, Baljeet Kaur, R. Agrawal, 2014, Soft Computing.

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

Abhishek M. Appaji, Avinash Kumar Singh, Jung-Tai King, 2018, IEEE Access.

A review of clustering techniques and developments

Chin-Teng Lin, Meng Joo Er, Amit Saxena, 2017, Neurocomputing.

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

Surendrabikram Thapa, Mukesh Prasad, Neha Bharill, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

Akshansh Gupta, Hanuman Verma, Utkarsh Niranjan, 2020, ArXiv.

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

Akshansh Gupta, Saurav Mandal, Hanuman Verma, 2021, Expert Systems with Applications.

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

Ajay Kumar, Akshansh Gupta, Kakoli Banerjee, 2022, International Conferences on Contemporary Computing and Informatics.

A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree

Dhirendra Kumar, Akshansh Gupta, Hanuman Verma, 2019, Pattern Recognit. Lett..

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

Chin-Teng Lin, Hesham El-Sayed, Deepak Puthal, 2018, IEEE Access.

Performance Evaluation of Empirical Mode Decomposition Algorithms for Mental Task Classification

Dhirendra Kumar, Kiran Sharma, Anirban Chakraborti, 2017, bioRxiv.

A Two-Phase Approach for Semi-Supervised Feature Selection

Chin-Teng Lin, Imran Razzak, Amit Saxena, 2020, Algorithms.

A novel approach for extracting feature from EEG signal for mental task classification

Jyoti Singh Kirar, Akshansh Gupta, J. Kirar, 2015, 2015 International Conference on Computing and Network Communications (CoCoNet).

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

Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Expert Systems With Applications

Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, 2011 .

A novel approach for classification of mental tasks using multiview ensemble learning (MEL)

Vivek Kumar Singh, Ram Bilas Pachori, M. Tanveer, 2020, Neurocomputing.

Relevant Feature Selection from EEG Signal for Mental Task Classification

R. K. Agrawal, Akshansh Gupta, R. Agrawal, 2012, PAKDD.

Survival prediction of head and neck squamous cell carcinoma using machine learning models

Saurav Mandal, Akshansh Gupta, Waribam Pratibha Chanu, 2021, 2105.07390.

Fuzzy clustering-based feature extraction method for mental task classification

Dhirendra Kumar, Akshansh Gupta, Akshansh Gupta, 2016, Brain Informatics.

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

Chin-Teng Lin, Mukesh Prasad, Chih-Hao Chen, 2019, IEEE Access.

Comparative Performance Study of CNN-based Algorithms and YOLO

Akshansh Gupta, B. Sainath, Rachit Mayur Shah, 2022, 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).