Search Results - "Anand, Adarsh"

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

Tamura, Yoshinobu, Miyamoto, Shoichiro, Anand, Adarsh, Takeda, Haruki, Zhou, Lei, Kapur, Pramod Kumar, Heima, Souta, Yamada, Shigeru

2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD)

A Waterfall Approach to Study Innovation Adoption Process

Kumar, Ankur, Singh, Ompal, Anand, Adarsh, Bisht, Marut, Singh, Gurinder

2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)

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

Gaugel, Stefan, Wu, Binlan, Anand, Adarsh, Reichert, Manfred

2023 IEEE 21st International Conference on Industrial Informatics (INDIN)

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

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

2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Impact of code smells on software development environments: a study based on ENTROPY-CODAS method

Anand, Adarsh, Gupta, Priyanka, Tamura, Yoshinobu, Papic, Ljubisa

Risk-based reliability assessment and testing stop time based software system modeling

Gupta, Priyanka, Anand, Adarsh, Tamura, Yoshinobu, Ram, Mangey

Environmental factor and change point based modeling for studying reliability of a software system

Singh, Jyotish N. P., Yadav, Asha^{Aff1, IDs13198024024255_cor2}, Singh, Ompal, Anand, Adarsh

Modelling dynamic nature of YouTube’s digital ecosystem and its analysis using numerical methods

Anand, Adarsh, Babbar, Garima^{Aff1, IDs13198024024362_cor2}, Aggrawal, Niyati, Ram, Mangey

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

Tamura, Yoshinobu, Sone, Hironobu, Anand, Adarsh, Yamada, Shigeru

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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

Singh, Jyotish N. P., Anand, Adarsh, Gupta, Priyanka^{Aff2, IDs13198022018428_cor3}

Exploring Software Systems Engineering Through Complexity of Code Changes: A Study Based on Bugs Count, Features Improvement and New Add-Ons

Yadav, Asha^Aff6, Singh, Ompal^Aff6, Anand, Adarsh^Aff6, Verma, Raksha^Aff7, Singh, Indarpal^Aff8

Pham, Hoang, Series Editor^{Aff1, Aff3}, Kapur, P. K., editor^Aff2, Singh, Gurinder, editor^Aff4, Kumar, Vivek, editor^Aff5

Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data

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

Understanding Popularity Dynamics for YouTube Videos: An Interpretive Structural Modelling based Approach

Bisht, Marut, Irshad, Mohammed Shahid, Aggarwal, Niyati, Anand, Adarsh

2019 Amity International Conference on Artificial Intelligence (AICAI)

Resource Allocation Problem for Multi Versions of Software System

Anand, Adarsh, Das, Subhrata, Singh, Ompal, Kumar, Vijay

2019 Amity International Conference on Artificial Intelligence (AICAI)

Modeling Multi-generational Product Adoption Based on Competition within & between Brands

Bansal, Gunjan, Anand, Adarsh, Aggrawal, Deepti

2019 Amity International Conference on Artificial Intelligence (AICAI)