Yugal Kumar

According to our database, Yugal Kumar authored at least 37 papers between 2014 and 2024.

Collaborative distances:

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

2024

Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling.

Dipesh Kumar, Nirupama Mandal, Yugal Kumar

Big Data, 2024

2023

Bug severity classification in software using ant colony optimization based feature weighting technique.

Ashima Kukkar, Yugal Kumar, Ashutosh Sharma, Jasminder Kaur Sandhu

Expert Syst. Appl., November, 2023

Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique.

Praveen Modi, Yugal Kumar

Comput. Ind. Eng., August, 2023

An Effective Diabetic Retinopathy Detection System using Deep Belief Nets and Adaptive Learning in Cloud Environment.

Praveen Modi, Yugal Kumar

Scalable Comput. Pract. Exp., April, 2023

Fog-based framework for diabetes prediction using hybrid ANFIS model in cloud environment.

Dipesh Kumar, Nirupama Mandal, Yugal Kumar

Pers. Ubiquitous Comput., 2023

2022

A multi-objective vibrating particle system algorithm for data clustering.

Arvinder Kaur, Yugal Kumar

Pattern Anal. Appl., 2022

Three stage fusion for effective time series forecasting using Bi-LSTM-ARIMA and improved DE-ABC algorithm.

Raghavendra Kumar, Pardeep Kumar, Yugal Kumar

Neural Comput. Appl., 2022

Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting.

Raghavendra Kumar, Pardeep Kumar, Yugal Kumar

Multim. Tools Appl., 2022

An Enhanced Version of Cat Swarm Optimization Algorithm for Cluster Analysis.

Hakam Singh, Yugal Kumar

Int. J. Appl. Metaheuristic Comput., 2022

A new metaheuristic algorithm based on water wave optimization for data clustering.

Arvinder Kaur, Yugal Kumar

Evol. Intell., 2022

Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques.

Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh

Expert Syst. J. Knowl. Eng., 2022

Neighborhood search based improved bat algorithm for data clustering.

Arvinder Kaur, Yugal Kumar

Appl. Intell., 2022

2021

Two-phase hybridisation using deep learning and evolutionary algorithms for stock market forecasting.

Raghavendra Kumar, Pardeep Kumar, Yugal Kumar

Int. J. Grid Util. Comput., 2021

Artificial Bee Colony and Deep Neural Network-Based Diagnostic Model for Improving the Prediction Accuracy of Diabetes.

Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh

Int. J. E Health Medical Commun., 2021

2020

A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images.

Urvashi Sharma, Meenakshi Sood, Emjee Puthooran, Yugal Kumar

Int. J. Heal. Inf. Syst. Informatics, 2020

A feature selection model for prediction of software defects.

Amit Kumar, Yugal Kumar, Ashima Kukkar

Int. J. Embed. Syst., 2020

A Rule-Based Monitoring System for Accurate Prediction of Diabetes: Monitoring System for Diabetes.

Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh

Int. J. E Health Medical Commun., 2020

A neighborhood search based cat swarm optimization algorithm for clustering problems.

Hakam Singh, Yugal Kumar

Evol. Intell., 2020

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique.

Ashima Kukkar, Rajni Mohana, Yugal Kumar, Anand Nayyar, Muhammad Bilal, Kyung-Sup Kwak

IEEE Access, 2020

2019

Applicability of Wireless Sensor Networks in Precision Agriculture: A Review.

Divyansh Thakur, Yugal Kumar, Arvind Kumar, Pradeep Kumar Singh

Wirel. Pers. Commun., 2019

A New Variant of Teaching Learning Based Optimization Algorithm for Global Optimization Problems.

Yugal Kumar, Neeraj Dahiya, Sanjay Kumar Malik, Savita Khatri

Informatica (Slovenia), 2019

Cellular Automata Based Model for E-Healthcare Data Analysis.

Hakam Singh, Yugal Kumar

Int. J. Inf. Syst. Model. Des., 2019

A new meta-heuristic algorithm based on chemical reactions for partitional clustering problems.

Hakam Singh, Yugal Kumar, Sumit Kumar

Evol. Intell., 2019

A chaotic teaching learning based optimization algorithm for clustering problems.

Yugal Kumar, Pradeep Kumar Singh

Appl. Intell., 2019

2018

A fuzzy logic based approach for decision making.

Harikesh Bahadur Yadav, Sumit Kumar, Yugal Kumar, Dilip Kumar Yadav

J. Intell. Fuzzy Syst., 2018

The Diagnosis of Dengue Disease: An Evaluation of Three Machine Learning Approaches.

Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar

Int. J. Heal. Inf. Syst. Informatics, 2018

Improved cat swarm optimization algorithm for solving global optimization problems and its application to clustering.

Yugal Kumar, Pradeep Kumar Singh

Appl. Intell., 2018

2017

A two-step artificial bee colony algorithm for clustering.

Yugal Kumar, Gadadhar Sahoo

Neural Comput. Appl., 2017

An Improved Cat Swarm Optimization Algorithm Based on Opposition-Based Learning and Cauchy Operator for Clustering.

Yugal Kumar, Gadadhar Sahoo

J. Inf. Process. Syst., 2017

Gaussian cat swarm optimisation algorithm based on Monte Carlo method for data clustering.

Yugal Kumar, Gadadhar Sahoo

Int. J. Comput. Sci. Eng., 2017

2016

Role of Soft Computing Approaches in HealthCare Domain: A Mini Review.

Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar

J. Medical Syst., 2016

A hybridise approach for data clustering based on cat swarm optimisation.

Yugal Kumar, Gadadhar Sahoo

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.

Yugal Kumar, Gadadhar Sahoo

Soft Comput., 2015

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

Yugal Kumar, Gadadhar Sahoo

AI Commun., 2015

2014

A charged system search approach for data clustering.

Yugal Kumar, Gadadhar Sahoo

Prog. Artif. Intell., 2014

A Chaotic Charged System Search Approach for Data Clustering.

Yugal Kumar, Gadadhar Sahoo

Informatica (Slovenia), 2014

Modified Teacher Learning Based Optimization Method for Data Clustering.

Anoop J. Sahoo, Yugal Kumar

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014