Mahendra Kumar Gourisaria

According to our database, Mahendra Kumar Gourisaria authored at least 26 papers between 2020 and 2024.

Collaborative distances:

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

2024

FSBOA: feature selection using bat optimization algorithm for software fault detection.

Yoginee Surendra Pethe, Mahendra Kumar Gourisaria, Pradeep Kumar Singh, Himansu Das

Discov. Internet Things, December, 2024

Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques.

Mahendra Kumar Gourisaria, Rakshit Agrawal, Manoj Sahni, Pradeep Kumar Singh

Discov. Internet Things, December, 2024

Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm.

Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh

IEEE Access, 2024

2023

Feature selection using differential evolution for microarray data classification.

Sanjay Prajapati, Himansu Das, Mahendra Kumar Gourisaria

Discov. Internet Things, December, 2023

A pragmatic ensemble learning approach for rainfall prediction.

Soumili Ghosh, Mahendra Kumar Gourisaria, Biswajit Sahoo, Himansu Das

Discov. Internet Things, December, 2023

Efficacy Determination of Various Base Networks in Single Shot Detector for Automatic Mask Localisation in a Post COVID Setup.

Gaurav Jee, Harshvardhan GM, Mahendra Kumar Gourisaria, Vijander Singh, Siddharth Swarup Rautaray, Manjusha Pandey

J. Exp. Theor. Artif. Intell., April, 2023

PneuNetV1: A Deep Neural Network for Classification of Pneumothorax Using CXR Images.

Mahendra Kumar Gourisaria, Vinayak Singh, Rajdeep Chatterjee, Sanjaya Kumar Panda, Manas Ranjan Pradhan, Biswaranjan Acharya

IEEE Access, 2023

Efficient Object Detection and Labeling in Retail Environments using MobileNetV2 with Inverted Residuals.

Ronit Raj, Priyanshu Tiwari, Mahendra Kumar Gourisaria, Himansu Das

Proceedings of the OITS International Conference on Information Technology, 2023

A Disaster Management System Using Cloud Computing.

Saurabh Singhal, Ashish Sharma, Mahendra Kumar Gourisaria, Bhisham Sharma, Imed Ben Dhaou

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022

UBMTR: Unsupervised Boltzmann machine-based time-aware recommendation system.

Harshvardhan GM, Mahendra Kumar Gourisaria, Siddharth Swarup Rautaray, Manjusha Pandey

J. King Saud Univ. Comput. Inf. Sci., 2022

Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations.

Mahendra Kumar Gourisaria, Gaurav Jee, Harshvardhan GM, Vijander Singh, Pradeep Kumar Singh, Tewabe Chekole Workneh

IET Commun., 2022

A Trio-Method for Retinal Vessel Segmentation using Image Processing.

Mahendra Kumar Gourisaria, Vinayak Singh, Manoj Sahni

CoRR, 2022

On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective.

Harshvardhan GM, Aanchal Sahu, Mahendra Kumar Gourisaria, Pradeep Kumar Singh, Wei-Chiang Hong, Vijander Singh, Bunil Kumar Balabantaray

IEEE Access, 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.

Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu

IEEE Access, 2022

Cybersecurity Imminent Threats with Solutions in Higher Education.

Mahendra Kumar Gourisaria, Abtsega Tesfaye Chufare, Debajyoty Banik

Proceedings of the Recent Trends in Intelligence Enabled Research, 2022

URL Classification on Extracted Feature Using Deep Learning.

Vishal Kumar Sahoo, Vinayak Singh, Mahendra Kumar Gourisaria, Anuja Kumar Acharya

Proceedings of the Computer Vision and Machine Intelligence, 2022

Alcohol Consumption Rate Prediction using Machine Learning Algorithms.

Advait Singh, Vinayak Singh, Mahendra Kumar Gourisaria, Ashish Sharma

Proceedings of the OITS International Conference on Information Technology, 2022

Software Fault Prediction Using Machine Learning Models.

Ayushi Kundu, Priyanka Dutta, Kunal Ranjit, Sthitaprajna Bidyadhar, Mahendra Kumar Gourisaria, Himansu Das

Proceedings of the OITS International Conference on Information Technology, 2022

Sleep Stress Level Classification through Machine Learning Algorithms.

Abhyudaya Batabyal, Vinayak Singh, Mahendra Kumar Gourisaria, Himansu Das

Proceedings of the OITS International Conference on Information Technology, 2022

Semantic Segmentation of Retinal Vessels using Deep Learning approach.

Aakarsh Arora, Utkrisht Singh, Mahendra Kumar Gourisaria, Rajdeep Chatterjee

Proceedings of the OITS International Conference on Information Technology, 2022

2021

ESPS: Energy Saving Power Spectrum-Aware Scheduling to Leverage Differences in Power Ratings of Physical Hosts in Datacenters.

Mahendra Kumar Gourisaria, Pabitra Mohan Khilar, Sudhansu Shekhar Patra

Informatica (Slovenia), 2021

Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals.

Mahendra Kumar Gourisaria, Harshvardhan GM, Rakshit Agrawal, Sudhansu Shekhar Patra, Siddharth Swarup Rautaray, Manjusha Pandey

Int. J. E Health Medical Commun., 2021

GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs.

Harshvardhan GM, Aanchal Sahu, Mahendra Kumar Gourisaria

CoRR, 2021

Semantic Analysis of Sentiments through Web-Mined Twitter Corpus.

Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Siddharth Swarup Rautaray, Manjusha Pandey, Sachi Nandan Mohanty

Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

2020

A comprehensive survey and analysis of generative models in machine learning.

Harshvardhan GM, Mahendra Kumar Gourisaria, Manjusha Pandey, Siddharth Swarup Rautaray

Comput. Sci. Rev., 2020

Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems.

Sohom Dey, Mahendra Kumar Gourisaria, Siddharth Swarup Rautaray, Manjusha Pandey

Proceedings of the Intelligent Data Engineering and Analytics, 2020