Anshu Parashar

According to our database, Anshu Parashar authored at least 16 papers between 2011 and 2024.

Collaborative distances:

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

2024

GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances.

Simarjit Kaur, Anju Bala, Anshu Parashar

Evol. Syst., April, 2024

2023

Multi-dimensional information-driven many-objective software remodularization approach.

Amarjeet Prajapati, Anshu Parashar, Amit Rathee

Frontiers Comput. Sci., 2023

An Energy Efficient Virtual Machine Placement Scheme for Intelligent Resource Management at Cloud Data Center.

Smruti Rekha Swain, Anshu Parashar, Ashutosh Kumar Singh, Chung-Nan Lee

Proceedings of the OITS International Conference on Information Technology, 2023

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

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

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

Intelligent energy aware approaches for residential buildings: state-of-the-art review and future directions.

Simarjit Kaur, Anju Bala, Anshu Parashar

Clust. Comput., 2022

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

2021

Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring.

Amarjeet Prajapati, Anshu Parashar, Sunita, Alok Mishra

Complex., 2021

2019

Assessing impact of class change by mining class associations.

Anshu Parashar, Jitender Kumar Chhabra

Int. Arab J. Inf. Technol., 2019

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

Mining software change data stream to predict changeability of classes of object-oriented software system.

Anshu Parashar, Jitender Kumar Chhabra

Evol. Syst., 2016

2014

Measuring Change-Readiness of Classes by Mining Change-History.

Anshu Parashar, Jitender Kumar Chhabra

ACM SIGSOFT Softw. Eng. Notes, 2014

Prediction of changeability for object oriented classes and packages by mining change history.

Jitender Kumar Chhabra, Anshu Parashar

Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014

2011

Mining Class Association Rules from Dynamic Class Coupling Data to Measure Class Reusability Pattern.

Anshu Parashar, Jitender Kumar Chhabra

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Clustering Dynamic Class Coupling Data to Measure Class Reusability Pattern.

Anshu Parashar, Jitender Kumar Chhabra

Proceedings of the High Performance Architecture and Grid Computing, 2011