Law Kumar Singh
Orcid: 0000-0002-7073-6852
According to our database1,
Law Kumar Singh authored at least 35 papers
between 2020 and 2026.
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Bibliography
2026
A hybrid feature selection framework collaborating image processing, evolutionary intelligence, and machine learning for covid-19 disease classification.
Netw. Model. Anal. Health Informatics Bioinform., December, 2026
Iran J. Comput. Sci., December, 2026
Satellite image denoising leveraging ResUnet architecture integrated with Variational Autoencoder techniques for enhanced image quality and noise reduction.
Signal Process. Image Commun., 2026
Physics-guided transfer learning framework for melanoma detection using optimized visual geometry group networks.
Expert Syst. Appl., 2026
2025
Cycle-Consistent Simplicial Adversarial Adaptation Network with Spider Wasp Optimizer-Based EEG Signals Classification Model for Epileptic Seizure.
Circuits Syst. Signal Process., December, 2025
A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system.
Multim. Tools Appl., April, 2025
Enhanced brain tumor classification via efficient predefined time adaptive neural network optimized with high-level target navigation pigeon-inspired optimization.
Knowl. Based Syst., 2025
2024
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images.
New Gener. Comput., November, 2024
A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images.
Multim. Tools Appl., November, 2024
Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images.
Multim. Tools Appl., September, 2024
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case.
Multim. Tools Appl., September, 2024
Correction to: Features fusion based novel approach for efficient blood vessel segmentation from fundus images.
Multim. Tools Appl., August, 2024
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images.
Multim. Tools Appl., May, 2024
Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system.
Multim. Tools Appl., April, 2024
Emperor penguin optimization algorithm- and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus images.
Soft Comput., February, 2024
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition.
Multim. Tools Appl., January, 2024
2023
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images.
Multim. Tools Appl., November, 2023
Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy.
Multim. Tools Appl., October, 2023
Breast cancer: A hybrid method for feature selection and classification in digital mammography.
Int. J. Imaging Syst. Technol., September, 2023
Artificial intelligence based medical decision support system for early and accurate breast cancer prediction.
Adv. Eng. Softw., 2023
2022
Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images.
Multim. Tools Appl., 2022
Histogram of Oriented Gradients (HOG)-Based Artificial Neural Network (ANN) Classifier for Glaucoma Detection.
Int. J. Swarm Intell. Res., 2022
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction.
Int. J. Appl. Metaheuristic Comput., 2022
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets.
Evol. Syst., 2022
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing.
Expert Syst. J. Knowl. Eng., 2022
A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma.
Biomed. Signal Process. Control., 2022
Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images.
Adv. Eng. Softw., 2022
2021
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus.
Medical Biol. Eng. Comput., 2021
Robustness for Authentication of the Human Using Face, Ear, and Gait Multimodal Biometric System.
Int. J. Inf. Syst. Model. Des., 2021
An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images.
Int. J. E Health Medical Commun., 2021
A Multi-Objective Approach for Test Suite Reduction During Testing of Web Applications: A Search-Based Approach.
Int. J. Appl. Metaheuristic Comput., 2021
Multi-objective techniques for feature selection and classification in digital mammography.
Intell. Decis. Technol., 2021
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer.
Comput. Biol. Medicine, 2021
2020
Multimodal Biometric Based on Fusion of Ridge Features with Minutiae Features and Face Features.
Int. J. Inf. Syst. Model. Des., 2020
Int. J. Appl. Evol. Comput., 2020