Clustering Dynamic Class Coupling Data to Measure Class Reusability Pattern. - Anshu Parashar; Jitender Kumar Chhabra (HPAGC, 2011)

Mining Class Association Rules from Dynamic Class Coupling Data to Measure Class Reusability Pattern. - Anshu Parashar; Jitender Kumar Chhabra (ICSI (2), 2011)

Prediction of changeability for object oriented classes and packages by mining change history. - Jitender Kumar Chhabra; Anshu Parashar (CCECE, 2014)

Measuring Change-Readiness of Classes by Mining Change-History. - Anshu Parashar; Jitender Kumar Chhabra (ACM SIGSOFT Softw. Eng. Notes, 2014)

Mining software change data stream to predict changeability of classes of object-oriented software system. - Anshu Parashar; Jitender Kumar Chhabra (Evol. Syst., 2016)

An approach for clustering class coupling metrics to mine object oriented software components. - Anshu Parashar; Jitender Kumar Chhabra (Int. Arab J. Inf. Technol., 2016)

Assessing impact of class change by mining class associations. - Anshu Parashar; Jitender Kumar Chhabra (Int. Arab J. Inf. Technol., 2019)

Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring. - Amarjeet Prajapati; Anshu Parashar; Sunita; Alok Mishra 001 (Complex., 2021)

Machine Learning Based Framework for Classification of Children with ADHD and Healthy Controls. - Anshu Parashar; Nidhi Kalra; Jaskirat Singh; Raman Kumar Goyal (Intell. Autom. Soft Comput., 2021)

Machine learning approach for software defect prediction using multi-core parallel computing. - Anshu Parashar; Raman Kumar Goyal; Sakshi Kaushal; Sudip Kumar Sahana (Autom. Softw. Eng., 2022)

Intelligent energy aware approaches for residential buildings: state-of-the-art review and future directions. - Simarjit Kaur; Anju Bala; Anshu Parashar (Clust. Comput., 2022)

Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments. - Raman Kumar Goyal; Jaskirat Singh; Nidhi Kalra; Anshu Parashar; Gagan Singla; Sakshi Kaushal (Comput. Syst. Sci. Eng., 2022)

Machine learning model for mapping of music mood and human emotion based on physiological signals. - Anupam Garg; Vybhav Chaturvedi; Arman Beer Kaur; Vedansh Varshney; Anshu Parashar (Multim. Tools Appl., 2022)

Multimedia in search-based software engineering: challenges and opportunities within a new research domain. - Amarjeet Prajapati; Anshu Parashar; Sunita; Jitender Kumar Chhabra; Chakresh Kumar Jain (Multim. Tools Appl., 2022)

An Energy Efficient Virtual Machine Placement Scheme for Intelligent Resource Management at Cloud Data Center. - Smruti Rekha Swain; Anshu Parashar; Ashutosh Kumar Singh 001; Chung-Nan Lee (OCIT, 2023)

Multi-dimensional information-driven many-objective software remodularization approach. - Amarjeet Prajapati; Anshu Parashar; Amit Rathee (Frontiers Comput. Sci., 2023)

Quantum-Secure Data Transmission in Smart Grid. - Pooja Rani; Ashutosh Kumar Singh 001; Anshu Parashar; Deepika Saxena (MCSoC, 2024)

GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances. - Simarjit Kaur; Anju Bala; Anshu Parashar (Evol. Syst., 2024)

Efficient straggler task management in cloud environment using stochastic gradient descent with momentum learning-driven neural networks. - Smruti Rekha Swain; Anshu Parashar; Ashutosh Kumar Singh 001; Chung-Nan Lee (Clust. Comput., 2024)

An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment. - Smruti Rekha Swain; Anshu Parashar; Ashutosh Kumar Singh 001; Chung-Nan Lee (J. Supercomput., 2025)