Yugal Kumar

Orcid: 0000-0003-3451-4897

According to our database1, Yugal Kumar authored at least 41 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges.
Artif. Intell. Rev., October, 2024

An Improved Water Flow Optimizer for Data Clustering.
SN Comput. Sci., August, 2024

Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis.
J. Univers. Comput. Sci., 2024

An enhanced human learning optimisation algorithm for effective data clustering.
Int. J. Grid Util. Comput., 2024

Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling.
Big Data, 2024

2023
Bug severity classification in software using ant colony optimization based feature weighting technique.
Expert Syst. Appl., November, 2023

Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique.
Comput. Ind. Eng., August, 2023

An Effective Diabetic Retinopathy Detection System using Deep Belief Nets and Adaptive Learning in Cloud Environment.
Scalable Comput. Pract. Exp., April, 2023

Fog-based framework for diabetes prediction using hybrid ANFIS model in cloud environment.
Pers. Ubiquitous Comput., 2023

2022
A multi-objective vibrating particle system algorithm for data clustering.
Pattern Anal. Appl., 2022

Three stage fusion for effective time series forecasting using Bi-LSTM-ARIMA and improved DE-ABC algorithm.
Neural Comput. Appl., 2022

Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting.
Multim. Tools Appl., 2022

An Enhanced Version of Cat Swarm Optimization Algorithm for Cluster Analysis.
Int. J. Appl. Metaheuristic Comput., 2022

A new metaheuristic algorithm based on water wave optimization for data clustering.
Evol. Intell., 2022

Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques.
Expert Syst. J. Knowl. Eng., 2022

Neighborhood search based improved bat algorithm for data clustering.
Appl. Intell., 2022

2021
Two-phase hybridisation using deep learning and evolutionary algorithms for stock market forecasting.
Int. J. Grid Util. Comput., 2021

Artificial Bee Colony and Deep Neural Network-Based Diagnostic Model for Improving the Prediction Accuracy of Diabetes.
Int. J. E Health Medical Commun., 2021

2020
A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images.
Int. J. Heal. Inf. Syst. Informatics, 2020

A feature selection model for prediction of software defects.
Int. J. Embed. Syst., 2020

A Rule-Based Monitoring System for Accurate Prediction of Diabetes: Monitoring System for Diabetes.
Int. J. E Health Medical Commun., 2020

A neighborhood search based cat swarm optimization algorithm for clustering problems.
Evol. Intell., 2020

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique.
IEEE Access, 2020

2019
Applicability of Wireless Sensor Networks in Precision Agriculture: A Review.
Wirel. Pers. Commun., 2019

A New Variant of Teaching Learning Based Optimization Algorithm for Global Optimization Problems.
Informatica (Slovenia), 2019

Cellular Automata Based Model for E-Healthcare Data Analysis.
Int. J. Inf. Syst. Model. Des., 2019

A new meta-heuristic algorithm based on chemical reactions for partitional clustering problems.
Evol. Intell., 2019

A chaotic teaching learning based optimization algorithm for clustering problems.
Appl. Intell., 2019

2018
A fuzzy logic based approach for decision making.
J. Intell. Fuzzy Syst., 2018

The Diagnosis of Dengue Disease: An Evaluation of Three Machine Learning Approaches.
Int. J. Heal. Inf. Syst. Informatics, 2018

Improved cat swarm optimization algorithm for solving global optimization problems and its application to clustering.
Appl. Intell., 2018

2017
A two-step artificial bee colony algorithm for clustering.
Neural Comput. Appl., 2017

An Improved Cat Swarm Optimization Algorithm Based on Opposition-Based Learning and Cauchy Operator for Clustering.
J. Inf. Process. Syst., 2017

Gaussian cat swarm optimisation algorithm based on Monte Carlo method for data clustering.
Int. J. Comput. Sci. Eng., 2017

2016
Role of Soft Computing Approaches in HealthCare Domain: A Mini Review.
J. Medical Syst., 2016

A hybridise approach for data clustering based on cat swarm optimisation.
Int. J. Inf. Commun. Technol., 2016

2015
Hybridization of magnetic charge system search and particle swarm optimization for efficient data clustering using neighborhood search strategy.
Soft Comput., 2015

A hybrid data clustering approach based on improved cat swarm optimization and K-harmonic mean algorithm.
AI Commun., 2015

2014
A charged system search approach for data clustering.
Prog. Artif. Intell., 2014

A Chaotic Charged System Search Approach for Data Clustering.
Informatica (Slovenia), 2014

Modified Teacher Learning Based Optimization Method for Data Clustering.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014


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