Mukesh Kumar

According to our database, Mukesh Kumar authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction: Self-supervised approach for diabetic retinopathy severity detection using vision transformer.

Kriti Ohri, Mukesh Kumar, Deepak Sukheja

Prog. Artif. Intell., September, 2024

Self-supervised approach for diabetic retinopathy severity detection using vision transformer.

Kriti Ohri, Mukesh Kumar, Deepak Sukheja

Prog. Artif. Intell., September, 2024

Efficient Hotel Rating Prediction from Reviews Using Ensemble Learning Technique.

Mukesh Kumar, Chhotelal Kumar, Naween Kumar, S. Kavitha

Wirel. Pers. Commun., July, 2024

Domain and label efficient approach for diabetic retinopathy severity detection.

Kriti Ohri, Mukesh Kumar

Multim. Tools Appl., April, 2024

Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network.

Chhotelal Kumar, Mukesh Kumar

Multim. Tools Appl., April, 2024

Supervised fine-tuned approach for automated detection of diabetic retinopathy.

Kriti Ohri, Mukesh Kumar

Multim. Tools Appl., February, 2024

Correction to: Future trends of path planning framework considering accident attributes for smart cities.

Raushan Kumar Singh, Mukesh Kumar

J. Supercomput., January, 2024

Session-based recommendations with sequential context using attention-driven LSTM.

Chhotelal Kumar, Mukesh Kumar

Comput. Electr. Eng., 2024

2023

Future trends of path planning framework considering accident attributes for smart cities.

Raushan Kumar Singh, Mukesh Kumar

J. Supercomput., October, 2023

MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation.

Chhotelal Kumar, Md Abuzar, Mukesh Kumar

Appl. Intell., October, 2023

Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection.

Shipra Swati, Mukesh Kumar

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Investigating the Addictive behavior of Internet Surfing through Deep Analysis of Brainwaves.

Shipra Swati, Mukesh Kumar

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.

Shipra Swati, Mukesh Kumar, Suyel Namasudra

Inf. Process. Manag., 2022

2021

Route Guidance System for the Road Network-A Review.

Raushan Kumar Singh, Mukesh Kumar

Wirel. Pers. Commun., 2021

Review on self-supervised image recognition using deep neural networks.

Kriti Ohri, Mukesh Kumar

Knowl. Based Syst., 2021

An efficient on-demand charging schedule method in rechargeable sensor networks.

Naween Kumar, Dinesh Dash, Mukesh Kumar

J. Ambient Intell. Humaniz. Comput., 2021

An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level.

Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

2019

Classification of Microarray Data Using Kernel Based Classifiers.

Shipra Swati, Mukesh Kumar, Ritesh Mishra

Rev. d'Intelligence Artif., 2019

2018

High performance computing RBFN for classification of sizable microarrays.

Ransingh B. Ray, Mukesh Kumar, Santanu Kumar Rath

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.

Lov Kumar, Mukesh Kumar, Santanu Ku. Rath

Int. J. Syst. Assur. Eng. Manag., 2017

Spark based classification of microarray data using scalable artificial neural network.

Mukesh Kumar, Ransingh B. Ray, Santanu Kumar Rath

Int. J. Data Min. Bioinform., 2017

2016

Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier.

Mukesh Kumar, Nitish Kumar Rath, Santanu Kumar Rath

J. Biomed. Informatics, 2016

Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model.

Shashank Mouli Satapathy, Mukesh Kumar, Santanu Kumar Rath

Int. J. Comput. Appl. Technol., 2016

2015

Classification of microarray using MapReduce based proximal support vector machine classifier.

Mukesh Kumar, Santanu Kumar Rath

Knowl. Based Syst., 2015

2013

Class point approach for software effort estimation using soft computing techniques.

Shashank Mouli Satapathy, Mukesh Kumar, Santanu Kumar Rath

Proceedings of the International Conference on Advances in Computing, 2013