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Megha Bhushan
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2020 – today
- 2024
- [j10]Megha Bhushan, José Ángel Galindo Duarte, Arun Negi, Piyush Samant:
An ontological knowledge-based method for handling feature model defects due to dead feature. Eng. Appl. Artif. Intell. 136: 109000 (2024) - [c3]José A. Galindo, David Romero-Organvidez, Megha Bhushan, José Miguel Horcas Aguilera, David Benavides:
Open Science principles in software product lines: The case of the UVL ecosystem. SPLC (A) 2024: 223 - 2023
- [j9]Megha Bhushan, Akkshat Pandit, Ayush Garg:
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions. Artif. Intell. Rev. 56(12): 14035-14086 (2023) - [j8]Meghavi Rana, Megha Bhushan:
Machine learning and deep learning approach for medical image analysis: diagnosis to detection. Multim. Tools Appl. 82(17): 26731-26769 (2023) - [j7]Meghavi Rana, Megha Bhushan:
Classifying breast cancer using transfer learning models based on histopathological images. Neural Comput. Appl. 35(19): 14243-14257 (2023) - [j6]Megha Bhushan, Satyam Vyas, Shrey Mall, Arun Negi:
A comparative study of machine learning and deep learning algorithms for predicting student's academic performance. Int. J. Syst. Assur. Eng. Manag. 14(6): 2674-2683 (2023) - [c2]Meghavi Rana, Megha Bhushan:
Effective Tumor Diagnosis based on Shape and Size of Tumor. ICCCNT 2023: 1-6 - 2022
- [j5]Resham Arya, Ashok Kumar, Megha Bhushan, Piyush Samant:
Big Five Personality Traits Prediction Using Brain Signals. Int. J. Fuzzy Syst. Appl. 11(2): 1-10 (2022) - [c1]Vibhanshu Tyagi, Prem Kumar, Megha Bhushan:
Content Based Movie Recommendation System. SOLI 2022: 1-5 - [e1]Alexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K. G. Assunção, Andreas A. Falkner, Maider Azanza, Miguel Á. Rodríguez Luaces, Megha Bhushan, Laura Semini, Xavier Devroey, Cláudia Maria Lima Werner, Christoph Seidl, Viet-Man Le, José Miguel Horcas:
SPLC '22: 26th ACM International Systems and Software Product Line Conference, Graz, Austria, September 12 - 16, 2022, Volume A. ACM 2022, ISBN 978-1-4503-9443-7 [contents] - 2021
- [j4]Megha Bhushan, José Ángel Galindo Duarte, Piyush Samant, Ashok Kumar, Arun Negi:
Classifying and resolving software product line redundancies using an ontological first-order logic rule based method. Expert Syst. Appl. 168: 114167 (2021) - 2020
- [j3]Megha Bhushan, Arun Negi, Piyush Samant, Shivani Goel, Ajay Kumar:
A classification and systematic review of product line feature model defects. Softw. Qual. J. 28(4): 1507-1550 (2020)
2010 – 2019
- 2018
- [j2]Megha Bhushan, Shivani Goel, Ajay Kumar:
Improving quality of software product line by analysing inconsistencies in feature models using an ontological rule-based approach. Expert Syst. J. Knowl. Eng. 35(3) (2018) - [j1]Megha Bhushan, Shivani Goel, Karamjit Kaur:
Analyzing inconsistencies in software product lines using an ontological rule-based approach. J. Syst. Softw. 137: 605-617 (2018)
Coauthor Index
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