Adarsh Anand

According to our database, Adarsh Anand authored at least 31 papers between 2011 and 2024.

Collaborative distances:

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

2024

Estimation and comparison of mean time between failures based on deep learning for OSS fault big data.

Yoshinobu Tamura, Ryota Ueki, Adarsh Anand, Shigeru Yamada

Int. J. Syst. Assur. Eng. Manag., August, 2024

OSS reliability assessment method based on deep learning and independent Wiener data preprocessing.

Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou, Adarsh Anand, P. K. Kapur, Shigeru Yamada

Int. J. Syst. Assur. Eng. Manag., June, 2024

Studying innovation adoption using different distribution functions.

Ankur Kumar, Ompal Singh, Adarsh Anand, P. K. Kapur

Int. J. Syst. Assur. Eng. Manag., May, 2024

Quantification of number of adopters: a study to showcase products-sold and products-in-use.

Adarsh Anand, Chanchal, P. K. Kapur, Yoshinobu Tamura

Int. J. Syst. Assur. Eng. Manag., May, 2024

Modeling and monitoring multi-release software systems based on failure detection rate: a generalized approach.

Jyotish N. P. Singh, Adarsh Anand, Priyanka Gupta

Int. J. Syst. Assur. Eng. Manag., April, 2024

Trending or not? Predictive analysis for youtube videos.

Mohammed Shahid Irshad, Adarsh Anand, Mangey Ram

Int. J. Syst. Assur. Eng. Manag., April, 2024

OSS Fault Removal System Based on Deep Learning Inspired by Immune System.

Yoshinobu Tamura, Shoichiro Miyamoto, Adarsh Anand, Haruki Takeda, Lei Zhou, P. K. Kapur, Souta Heima, Shigeru Yamada

Proceedings of the 9th IEEE/ACIS International Conference on Big Data, 2024

2023

Supervised Time Series Segmentation as Enabler of Multi-Phased Time Series Classification: A Study on Hydraulic End-of-Line Testing.

Stefan Gaugel, Binlan Wu, Adarsh Anand, Manfred Reichert

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

2022

Modeling view count dynamics for YouTube videos: a multimodal perspective.

Adarsh Anand, Mohammed Shahid Irshad, Yogesh K. Dwivedi

Kybernetes, 2022

Modelling the impact of lock-downs in top-4 COVID-19 spreading states of India.

Adarsh Anand, Mohini Agarwal, Niyati Aggrawal, Navneet Bhatt

Int. J. Comput. Sci. Math., 2022

Cyclic Jump Diffusion Process Modeling Based on Different Effort Consumption Scenarios for OSS Multi Up-gradation.

Yoshinobu Tamura, Adarsh Anand, P. K. Kapur, Shigeru Yamada

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Visualization and Reliability Analysis for Edge Computing Open Source Software.

Yoshinobu Tamura, Adarsh Anand, Shigeru Yamada

Proceedings of the Human Interface and the Management of Information: Visual and Information Design, 2022

2021

Three-dimensional wiener process based entropy prediction modelling for OSS.

Deepika, Adarsh Anand, Ompal Singh, P. K. Kapur

Int. J. Syst. Assur. Eng. Manag., 2021

Exploitability prediction of software vulnerabilities.

Navneet Bhatt, Adarsh Anand, Venkata S. S. Yadavalli

Qual. Reliab. Eng. Int., 2021

Early viewers or followers: a mathematical model for YouTube viewers' categorization.

Niyati Aggrawal, Anuja Arora, Adarsh Anand, Yogesh Dwivedi

Kybernetes, 2021

Time Lag-Based Modelling for Software Vulnerability Exploitation Process.

Adarsh Anand, Navneet Bhatt, Jasmine Kaur, Yoshinobu Tamura

J. Cyber Secur. Mobil., 2021

Modeling Software Vulnerability Discovery Process Inculcating the Impact of Reporters.

Adarsh Anand, Navneet Bhatt, Omar Hussain Alhazmi

Inf. Syst. Frontiers, 2021

Vulnerability discovery modelling: a general framework.

Adarsh Anand, Navneet Bhatt, Omar Hussain Alhazmi

Int. J. Inf. Comput. Secur., 2021

Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data.

Zeyd Boukhers, Nagaraj Bahubali, Abinaya Thulsi Chandrasekaran, Adarsh Anand, Soniya Manchenahalli Gnanendra Prasadand, Sriram Aralappa

CoRR, 2021

A Method of Vulnerability Assessment Based on Deep Learning and OSS Fault Big Data.

Yoshinobu Tamura, Hironobu Sone, Adarsh Anand, Shigeru Yamada

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

2019

Modeling innovation adoption incorporating time lag between awareness and adoption process.

Richie Aggarwal, Ompal Singh, Adarsh Anand, P. K. Kapur

Int. J. Syst. Assur. Eng. Manag., 2019

2018

Modeling and characterizing viewers of You Tube videos.

Niyati Aggrawal, Anuja Arora, Adarsh Anand

Int. J. Syst. Assur. Eng. Manag., 2018

Queuing theory-based innovation diffusion modelling incorporating change in adoption rate.

Adarsh Anand, Mohini Agarwal, Deepti Aggrawal, Ompal Singh

Int. J. Math. Oper. Res., 2018

2017

Economic Impact of Software Patching and Optimal Release Scheduling.

Adarsh Anand, Mohini Agarwal, Yoshinobu Tamura, Shigeru Yamada

Qual. Reliab. Eng. Int., 2017

2016

Diffusion Modeling Based on Customer's Review and Product Satisfaction.

Adarsh Anand, Ompal Singh, Richie Aggarwal, Deepti Aggrawal

Int. J. Technol. Diffusion, 2016

2015

Fault severity based multi-release SRGM with testing resources.

Ompal Singh, Deepti Aggrawal, Adarsh Anand, P. K. Kapur

Int. J. Syst. Assur. Eng. Manag., 2015

Optimal Release Time Decision from Fuzzy Mathematical Programming Perspective.

Arvind Kumar, Adarsh Anand, Pankaj Kumar Garg, Mohini Agarwal

CoRR, 2015

2014

Modeling multi up-gradations of software with fault severity and measuring reliability for each release.

Ompal Singh, Adarsh Anand, Deepti Aggrawal, Jagvinder Singh

Int. J. Syst. Assur. Eng. Manag., 2014

2013

Optimal Introduction Timing Policy for a Successive Generational Product.

Deepti Aggrawal, Ompal Singh, Adarsh Anand, Mohini Aggarwal

Int. J. Technol. Diffusion, 2013

2012

A multi-attribute approach for release time and reliability trend analysis of a software.

Ompal Singh, P. K. Kapur, Adarsh Anand

Int. J. Syst. Assur. Eng. Manag., 2012

2011

A stochastic formulation of successive software releases with faults severity.

Ompal Singh, P. K. Kapur, Adarsh Anand

Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011