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ORCIDYugal Kumar
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2020 – today
- 2024
[j40]Arvinder Kaur, Yugal Kumar, Jagpreet Sidhu:
Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges. Artif. Intell. Rev. 57(10): 287 (2024)- [j39]Dipesh Kumar
, Nirupama Mandal, Yugal Kumar:
Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling. Big Data 12(2): 110-126 (2024) - [j38]Jigyasa Goyal, Yugal Kumar, Pardeep Kumar, Arvinder Kaur:
An enhanced human learning optimisation algorithm for effective data clustering. Int. J. Grid Util. Comput. 15(2): 127-142 (2024) - [j37]Prateek Thakral, Yugal Kumar:
Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis. J. Univers. Comput. Sci. 30(11): 1529-1568 (2024) - [j36]Prateek Thakral, Yugal Kumar:
An Improved Water Flow Optimizer for Data Clustering. SN Comput. Sci. 5(6): 715 (2024) - 2023
- [j35]Praveen Modi, Yugal Kumar:
Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique. Comput. Ind. Eng. 182: 109364 (2023) - [j34]Ashima Kukkar, Yugal Kumar, Ashutosh Sharma, Jasminder Kaur Sandhu:
Bug severity classification in software using ant colony optimization based feature weighting technique. Expert Syst. Appl. 230: 120573 (2023) - [j33]Dipesh Kumar, Nirupama Mandal, Yugal Kumar:
Fog-based framework for diabetes prediction using hybrid ANFIS model in cloud environment. Pers. Ubiquitous Comput. 27(3): 909-916 (2023) - [j32]Praveen Modi, Yugal Kumar:
An Effective Diabetic Retinopathy Detection System using Deep Belief Nets and Adaptive Learning in Cloud Environment. Scalable Comput. Pract. Exp. 24(2): 97-114 (2023) - 2022
- [j31]Arvinder Kaur, Yugal Kumar:
Neighborhood search based improved bat algorithm for data clustering. Appl. Intell. 52(9): 10541-10575 (2022) - [j30]Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques. Expert Syst. J. Knowl. Eng. 39(3) (2022) - [j29]Arvinder Kaur, Yugal Kumar:
A new metaheuristic algorithm based on water wave optimization for data clustering. Evol. Intell. 15(1): 759-783 (2022) - [j28]Hakam Singh, Yugal Kumar:
An Enhanced Version of Cat Swarm Optimization Algorithm for Cluster Analysis. Int. J. Appl. Metaheuristic Comput. 13(1): 1-25 (2022) - [j27]Raghavendra Kumar, Pardeep Kumar, Yugal Kumar:
Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting. Multim. Tools Appl. 81(24): 34595-34614 (2022) - [j26]Raghavendra Kumar, Pardeep Kumar, Yugal Kumar:
Three stage fusion for effective time series forecasting using Bi-LSTM-ARIMA and improved DE-ABC algorithm. Neural Comput. Appl. 34(21): 18421-18437 (2022) - [j25]Arvinder Kaur, Yugal Kumar:
A multi-objective vibrating particle system algorithm for data clustering. Pattern Anal. Appl. 25(1): 209-239 (2022) - 2021
- [j24]Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
Artificial Bee Colony and Deep Neural Network-Based Diagnostic Model for Improving the Prediction Accuracy of Diabetes. Int. J. E Health Medical Commun. 12(2): 32-50 (2021) - [j23]Raghavendra Kumar, Pardeep Kumar, Yugal Kumar:
Two-phase hybridisation using deep learning and evolutionary algorithms for stock market forecasting. Int. J. Grid Util. Comput. 12(5/6): 573-589 (2021) - 2020
- [j22]Ashima Kukkar, Rajni Mohana, Yugal Kumar, Anand Nayyar, Muhammad Bilal, Kyung-Sup Kwak:
Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique. IEEE Access 8: 200749-200763 (2020) - [j21]Hakam Singh, Yugal Kumar:
A neighborhood search based cat swarm optimization algorithm for clustering problems. Evol. Intell. 13(4): 593-609 (2020) - [j20]Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
A Rule-Based Monitoring System for Accurate Prediction of Diabetes: Monitoring System for Diabetes. Int. J. E Health Medical Commun. 11(3): 32-53 (2020) - [j19]Amit Kumar, Yugal Kumar, Ashima Kukkar:
A feature selection model for prediction of software defects. Int. J. Embed. Syst. 13(1): 28-39 (2020) - [j18]Urvashi Sharma, Meenakshi Sood, Emjee Puthooran, Yugal Kumar:
A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images. Int. J. Heal. Inf. Syst. Informatics 15(3): 65-81 (2020)
2010 – 2019
- 2019
- [j17]Yugal Kumar, Pradeep Kumar Singh:
A chaotic teaching learning based optimization algorithm for clustering problems. Appl. Intell. 49(3): 1036-1062 (2019) - [j16]Hakam Singh, Yugal Kumar, Sumit Kumar:
A new meta-heuristic algorithm based on chemical reactions for partitional clustering problems. Evol. Intell. 12(2): 241-252 (2019) - [j15]Hakam Singh, Yugal Kumar:
Cellular Automata Based Model for E-Healthcare Data Analysis. Int. J. Inf. Syst. Model. Des. 10(3): 1-18 (2019) - [j14]Yugal Kumar, Neeraj Dahiya, Sanjay Kumar Malik, Savita Khatri:
A New Variant of Teaching Learning Based Optimization Algorithm for Global Optimization Problems. Informatica (Slovenia) 43(1) (2019) - [j13]Divyansh Thakur, Yugal Kumar, Arvind Kumar, Pradeep Kumar Singh:
Applicability of Wireless Sensor Networks in Precision Agriculture: A Review. Wirel. Pers. Commun. 107(1): 471-512 (2019) - 2018
- [j12]Yugal Kumar, Pradeep Kumar Singh:
Improved cat swarm optimization algorithm for solving global optimization problems and its application to clustering. Appl. Intell. 48(9): 2681-2697 (2018) - [j11]Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar:
The Diagnosis of Dengue Disease: An Evaluation of Three Machine Learning Approaches. Int. J. Heal. Inf. Syst. Informatics 13(3): 1-19 (2018) - [j10]Harikesh Bahadur Yadav, Sumit Kumar, Yugal Kumar, Dilip Kumar Yadav:
A fuzzy logic based approach for decision making. J. Intell. Fuzzy Syst. 35(2): 1531-1539 (2018) - 2017
- [j9]Yugal Kumar, Gadadhar Sahoo:
Gaussian cat swarm optimisation algorithm based on Monte Carlo method for data clustering. Int. J. Comput. Sci. Eng. 14(2): 198-210 (2017) - [j8]Yugal Kumar, Gadadhar Sahoo:
An Improved Cat Swarm Optimization Algorithm Based on Opposition-Based Learning and Cauchy Operator for Clustering. J. Inf. Process. Syst. 13(4): 1000-1013 (2017) - [j7]Yugal Kumar, Gadadhar Sahoo:
A two-step artificial bee colony algorithm for clustering. Neural Comput. Appl. 28(3): 537-551 (2017) - 2016
- [j6]Yugal Kumar, Gadadhar Sahoo:
A hybridise approach for data clustering based on cat swarm optimisation. Int. J. Inf. Commun. Technol. 9(1): 117-141 (2016) - [j5]Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar:
Role of Soft Computing Approaches in HealthCare Domain: A Mini Review. J. Medical Syst. 40(12): 287:1-287:20 (2016) - 2015
- [j4]Yugal Kumar, Gadadhar Sahoo:
A hybrid data clustering approach based on improved cat swarm optimization and K-harmonic mean algorithm. AI Commun. 28(4): 751-764 (2015) - [j3]Yugal Kumar, Gadadhar Sahoo:
Hybridization of magnetic charge system search and particle swarm optimization for efficient data clustering using neighborhood search strategy. Soft Comput. 19(12): 3621-3645 (2015) - 2014
- [j2]Yugal Kumar, Gadadhar Sahoo:
A Chaotic Charged System Search Approach for Data Clustering. Informatica (Slovenia) 38(3) (2014) - [j1]Yugal Kumar, Gadadhar Sahoo:
A charged system search approach for data clustering. Prog. Artif. Intell. 2(2-3): 153-166 (2014) - [c1]Anoop J. Sahoo, Yugal Kumar:
Modified Teacher Learning Based Optimization Method for Data Clustering. SIRS 2014: 429-437
Coauthor Index
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