Manoj Kumar Gupta

Orcid: 0000-0002-4481-8432

According to our database1, Manoj Kumar Gupta authored at least 25 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Domain-independent short-term calibration based hybrid approach for motor imagery electroencephalograph classification: a comprehensive review.
Multim. Tools Appl., January, 2024

2023
A conditional input-based GAN for generating spatio-temporal motor imagery electroencephalograph data.
Neural Comput. Appl., October, 2023

A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images.
Medical Biol. Eng. Comput., August, 2023

AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19.
Neural Process. Lett., June, 2023

Computational Model for Prediction of Malignant Mesothelioma Diagnosis.
Comput. J., January, 2023

CIAE: class imbalance aware ensemble framework to predict drug side effects.
Int. J. Medical Eng. Informatics, 2023

Quantitative and Qualitative Analysis of the human upper airway volumes.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
An ensemble-based approach using structural feature extraction method with class imbalance handling technique for drug-target interaction prediction.
Multim. Tools Appl., 2022

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM.
Multim. Tools Appl., 2022

Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a review.
Multim. Tools Appl., 2022

A hybrid-security model for privacy-enhanced distributed data mining.
J. King Saud Univ. Comput. Inf. Sci., 2022

Predicting the language of depression from multivariate twitter data using a feature-rich hybrid deep learning model.
Concurr. Comput. Pract. Exp., 2022

Improved Hybrid Bag-Boost Ensemble With K-Means-SMOTE-ENN Technique for Handling Noisy Class Imbalanced Data.
Comput. J., 2022

Computational Prediction of Cervical Cancer Diagnosis Using Ensemble-Based Classification Algorithm.
Comput. J., 2022

A comprehensive data-level investigation of cancer diagnosis on imbalanced data.
Comput. Intell., 2022

A Novel Multi-Neural Ensemble Approach for Cancer Diagnosis.
Appl. Artif. Intell., 2022

Hybrid LSTM-TCN Model for Predicting Depression using Twitter Data.
Proceedings of the 17th International Conference on Control, 2022

Accelerating the Performance of Sequence Classification Using GPU Based Ensemble Learning with Extreme Gradient Boosting.
Proceedings of the Advances in Computing and Data Sciences - 6th International Conference, 2022

2021
Knowledge discovery from noisy imbalanced and incomplete binary class data.
Expert Syst. Appl., 2021

Deep Learning for Brain Tumor Segmentation using Magnetic Resonance Images.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2019
A comprehensive review of feature based methods for drug target interaction prediction.
J. Biomed. Informatics, 2019

Identification and characterization of differentially expressed genes in Type 2 Diabetes using <i>in silico</i> approach.
Comput. Biol. Chem., 2019

2013
A framework for alignment-free methods to perform similarity analysis of biological sequence.
Proceedings of the Sixth International Conference on Contemporary Computing, 2013

2009
Simulation of Power Efficient Region Based Approach for Query Processing in Wireless Sensor Networks.
Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009

2008
Implementation of e-government in Nepal: prospects, opportunities and threats.
Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance, 2008


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