Mahendra Kumar Gourisaria

Orcid: 0000-0002-1785-8586

According to our database1, Mahendra Kumar Gourisaria authored at least 40 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2025
Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms.
Int. J. Comput. Intell. Syst., December, 2025

A wrapper-based feature selection approach using osprey optimisation for software fault detection.
Int. J. Embed. Syst., 2025

Temporal-Aware Transformer Approach for Violence Activity Recognition.
IEEE Access, 2025

2024
GPU Side-Channel Attack Classification for Targeted Secure Shader Mitigation.
SN Comput. Sci., December, 2024

FSBOA: feature selection using bat optimization algorithm for software fault detection.
Discov. Internet Things, December, 2024

Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques.
Discov. Internet Things, December, 2024

Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm.
IEEE Access, 2024

Rotten Fruits and Vegetables Detection: A Deep Learning and Transfer Learning Based Approach.
Proceedings of the IEEE Region 10 Conference, 2024

Time-Decay Attribution Model Using Half-Life in Exponential Decay for E-Commerce Conversion Analysis.
Proceedings of the 7th International Conference on Signal Processing and Information Security, 2024

Beyond Microscope: Advances in Technology for Detection of Cervical Cancer.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Early Detection of Diabetic Retinopathy: An Explainable AI Approach Using DR-NET.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Green Edge Computing Sustainability using Game Theoretic Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Machine Learning Enhancements for Car Insurance Claim Prediction.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Leveraging Advanced Machine Learning Algorithms for Loan Repayment Prediction.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Deciphering PCOS: Precision Diagnosis through Advanced Machine Learning Techniques.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Integrated Model for the Prediction of Disease and Treatment Recommendation.
Proceedings of the Advances in Computing and Data Sciences - 8th International Conference, 2024

2023
Feature selection using differential evolution for microarray data classification.
Discov. Internet Things, December, 2023

A pragmatic ensemble learning approach for rainfall prediction.
Discov. Internet Things, December, 2023

Efficacy Determination of Various Base Networks in Single Shot Detector for Automatic Mask Localisation in a Post COVID Setup.
J. Exp. Theor. Artif. Intell., April, 2023

PneuNetV1: A Deep Neural Network for Classification of Pneumothorax Using CXR Images.
IEEE Access, 2023

Efficient Object Detection and Labeling in Retail Environments using MobileNetV2 with Inverted Residuals.
Proceedings of the OITS International Conference on Information Technology, 2023

A Disaster Management System Using Cloud Computing.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
UBMTR: Unsupervised Boltzmann machine-based time-aware recommendation system.
J. King Saud Univ. Comput. Inf. Sci., 2022

Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations.
IET Commun., 2022

A Trio-Method for Retinal Vessel Segmentation using Image Processing.
CoRR, 2022

On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective.
IEEE Access, 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.
IEEE Access, 2022

Cybersecurity Imminent Threats with Solutions in Higher Education.
Proceedings of the Recent Trends in Intelligence Enabled Research, 2022

URL Classification on Extracted Feature Using Deep Learning.
Proceedings of the Computer Vision and Machine Intelligence, 2022

Performance Enhancement of Animal Species Classification Using Deep Learning.
Proceedings of the Computing, Communication and Learning - First International Conference, 2022

Alcohol Consumption Rate Prediction using Machine Learning Algorithms.
Proceedings of the OITS International Conference on Information Technology, 2022

Software Fault Prediction Using Machine Learning Models.
Proceedings of the OITS International Conference on Information Technology, 2022

Sleep Stress Level Classification through Machine Learning Algorithms.
Proceedings of the OITS International Conference on Information Technology, 2022

Semantic Segmentation of Retinal Vessels using Deep Learning approach.
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.
Informatica (Slovenia), 2021

Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals.
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.
CoRR, 2021

Semantic Analysis of Sentiments through Web-Mined Twitter Corpus.
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

2020
A comprehensive survey and analysis of generative models in machine learning.
Comput. Sci. Rev., 2020

Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems.
Proceedings of the Intelligent Data Engineering and Analytics, 2020


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