Mukesh Kumar

Orcid: 0000-0001-5668-3419

Affiliations:
  • National Institute of Technology Patna, Department of Computer Science and Engineering, India
  • National Institute of Technology Rourkela, Odisha, India


According to our database1, Mukesh Kumar authored at least 27 papers between 2013 and 2025.

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

Timeline

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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Optimization of Path for Road Network With Modified Ant Colony Optimization (MACO).
Concurr. Comput. Pract. Exp., February, 2025

2024
Correction: Self-supervised approach for diabetic retinopathy severity detection using vision transformer.
Prog. Artif. Intell., September, 2024

Self-supervised approach for diabetic retinopathy severity detection using vision transformer.
Prog. Artif. Intell., September, 2024

Efficient Hotel Rating Prediction from Reviews Using Ensemble Learning Technique.
Wirel. Pers. Commun., July, 2024

Domain and label efficient approach for diabetic retinopathy severity detection.
Multim. Tools Appl., April, 2024

Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network.
Multim. Tools Appl., April, 2024

Supervised fine-tuned approach for automated detection of diabetic retinopathy.
Multim. Tools Appl., February, 2024

Correction to: Future trends of path planning framework considering accident attributes for smart cities.
J. Supercomput., January, 2024

Session-based recommendations with sequential context using attention-driven LSTM.
Comput. Electr. Eng., 2024

Exploring the Impact of KNN and MLP Classifiers on Valence-Arousal Emotion Recognition Using EEG: An Analysis of DEAP Dataset and EEG Band Representations.
Proceedings of the Advances in Computing and Data Sciences - 8th International Conference, 2024

2023
Future trends of path planning framework considering accident attributes for smart cities.
J. Supercomput., October, 2023

MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation.
Appl. Intell., October, 2023

Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Investigating the Addictive behavior of Internet Surfing through Deep Analysis of Brainwaves.
Proceedings of the 5th International Conference on Image, Video and Signal Processing, 2023

2022
Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status.
Inf. Process. Manag., 2022

2021
Route Guidance System for the Road Network-A Review.
Wirel. Pers. Commun., 2021

Review on self-supervised image recognition using deep neural networks.
Knowl. Based Syst., 2021

An efficient on-demand charging schedule method in rechargeable sensor networks.
J. Ambient Intell. Humaniz. Comput., 2021

An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

2019
Classification of Microarray Data Using Kernel Based Classifiers.
Rev. d'Intelligence Artif., 2019

2018
High performance computing RBFN for classification of sizable microarrays.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

2017
Maintainability prediction of web service using support vector machine with various kernel methods.
Int. J. Syst. Assur. Eng. Manag., 2017

Spark based classification of microarray data using scalable artificial neural network.
Int. J. Data Min. Bioinform., 2017

2016
Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier.
J. Biomed. Informatics, 2016

Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model.
Int. J. Comput. Appl. Technol., 2016

2015
Classification of microarray using MapReduce based proximal support vector machine classifier.
Knowl. Based Syst., 2015

2013
Class point approach for software effort estimation using soft computing techniques.
Proceedings of the International Conference on Advances in Computing, 2013


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