A stochastic formulation of successive software releases with faults severity. - Ompal Singh; P. K. Kapur 001; Adarsh Anand (IEEM, 2011)

A multi-attribute approach for release time and reliability trend analysis of a software. - Ompal Singh; P. K. Kapur 001; Adarsh Anand (Int. J. Syst. Assur. Eng. Manag., 2012)

Optimal Introduction Timing Policy for a Successive Generational Product. - Deepti Aggrawal; Ompal Singh; Adarsh Anand; Mohini Aggarwal (Int. J. Technol. Diffusion, 2013)

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)

Optimal Release Time Decision from Fuzzy Mathematical Programming Perspective. - Arvind Kumar; Adarsh Anand; Pankaj Kumar Garg; Mohini Agarwal (CoRR, 2015)

Fault severity based multi-release SRGM with testing resources. - Ompal Singh; Deepti Aggrawal; Adarsh Anand; P. K. Kapur 001 (Int. J. Syst. Assur. Eng. Manag., 2015)

Diffusion Modeling Based on Customer's Review and Product Satisfaction. - Adarsh Anand; Ompal Singh; Richie Aggarwal; Deepti Aggrawal (Int. J. Technol. Diffusion, 2016)

Economic Impact of Software Patching and Optimal Release Scheduling. - Adarsh Anand; Mohini Agarwal; Yoshinobu Tamura; Shigeru Yamada (Qual. Reliab. Eng. Int., 2017)

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)

Modeling and characterizing viewers of You Tube videos. - Niyati Aggrawal; Anuja Arora; Adarsh Anand (Int. J. Syst. Assur. Eng. Manag., 2018)

Modeling innovation adoption incorporating time lag between awareness and adoption process. - Richie Aggarwal; Ompal Singh; Adarsh Anand; P. K. Kapur 001 (Int. J. Syst. Assur. Eng. Manag., 2019)

A Method of Vulnerability Assessment Based on Deep Learning and OSS Fault Big Data. - Yoshinobu Tamura; Hironobu Sone; Adarsh Anand; Shigeru Yamada (IEEM, 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)

Vulnerability discovery modelling: a general framework. - Adarsh Anand; Navneet Bhatt; Omar Hussain Alhazmi (Int. J. Inf. Comput. Secur., 2021)

Modeling Software Vulnerability Discovery Process Inculcating the Impact of Reporters. - Adarsh Anand; Navneet Bhatt; Omar Hussain Alhazmi (Inf. Syst. Frontiers, 2021)

Time Lag-Based Modelling for Software Vulnerability Exploitation Process. - Adarsh Anand; Navneet Bhatt; Jasmine Kaur; Yoshinobu Tamura (J. Cyber Secur. Mobil., 2021)

Early viewers or followers: a mathematical model for YouTube viewers' categorization. - Niyati Aggrawal; Anuja Arora; Adarsh Anand; Yogesh Dwivedi (Kybernetes, 2021)

Exploitability prediction of software vulnerabilities. - Navneet Bhatt; Adarsh Anand; Venkata S. S. Yadavalli (Qual. Reliab. Eng. Int., 2021)

Three-dimensional wiener process based entropy prediction modelling for OSS. - Deepika 004; Adarsh Anand; Ompal Singh; P. K. Kapur 001 (Int. J. Syst. Assur. Eng. Manag., 2021)

Visualization and Reliability Analysis for Edge Computing Open Source Software. - Yoshinobu Tamura; Adarsh Anand; Shigeru Yamada (HCI (4), 2022)

Cyclic Jump Diffusion Process Modeling Based on Different Effort Consumption Scenarios for OSS Multi Up-gradation. - Yoshinobu Tamura; Adarsh Anand; P. K. Kapur 001; Shigeru Yamada (IEEM, 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)

Modeling view count dynamics for YouTube videos: a multimodal perspective. - Adarsh Anand; Mohammed Shahid Irshad; Yogesh K. Dwivedi (Kybernetes, 2022)

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 (INDIN, 2023)

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 001; Souta Heima; Shigeru Yamada (BCD, 2024)

Trending or not? Predictive analysis for youtube videos. - Mohammed Shahid Irshad; Adarsh Anand; Mangey Ram (Int. J. Syst. Assur. Eng. Manag., 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., 2024)

Quantification of number of adopters: a study to showcase products-sold and products-in-use. - Adarsh Anand; Chanchal; P. K. Kapur 001; Yoshinobu Tamura (Int. J. Syst. Assur. Eng. Manag., 2024)

Studying innovation adoption using different distribution functions. - Ankur Kumar; Ompal Singh; Adarsh Anand; P. K. Kapur 001 (Int. J. Syst. Assur. Eng. Manag., 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 001; Shigeru Yamada (Int. J. Syst. Assur. Eng. Manag., 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., 2024)