Improving quality of software product line by analysing inconsistencies in feature models using an ontological rule-based approach. - Megha Bhushan; Shivani Goel; Ajay Kumar 003 (Expert Syst. J. Knowl. Eng., 2018)

Analyzing inconsistencies in software product lines using an ontological rule-based approach. - Megha Bhushan; Shivani Goel; Karamjit Kaur (J. Syst. Softw., 2018)

A classification and systematic review of product line feature model defects. - Megha Bhushan; Arun Negi; Piyush Samant; Shivani Goel; Ajay Kumar 003 (Softw. Qual. J., 2020)

Classifying and resolving software product line redundancies using an ontological first-order logic rule based method. - Megha Bhushan; José Ángel Galindo Duarte; Piyush Samant; Ashok Kumar 003; Arun Negi (Expert Syst. Appl., 2021)

Content Based Movie Recommendation System. - Vibhanshu Tyagi; Prem Kumar; Megha Bhushan (SOLI, 2022)

Big Five Personality Traits Prediction Using Brain Signals. - Resham Arya; Ashok Kumar 003; Megha Bhushan; Piyush Samant (Int. J. Fuzzy Syst. Appl., 2022)

Effective Tumor Diagnosis based on Shape and Size of Tumor. - Meghavi Rana; Megha Bhushan (ICCCNT, 2023)

Machine learning and deep learning approach for medical image analysis: diagnosis to detection. - Meghavi Rana; Megha Bhushan (Multim. Tools Appl., 2023)

Classifying breast cancer using transfer learning models based on histopathological images. - Meghavi Rana; Megha Bhushan (Neural Comput. Appl., 2023)

Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions. - Megha Bhushan; Akkshat Pandit; Ayush Garg (Artif. Intell. Rev., 2023)

A comparative study of machine learning and deep learning algorithms for predicting student's academic performance. - Megha Bhushan; Satyam Vyas; Shrey Mall; Arun Negi (Int. J. Syst. Assur. Eng. Manag., 2023)

TIPPS: Comparative Analysis of Preprocessing and Postprocessing Techniques for Tumor Images Across Different Modalities. - Meghavi Rana; Megha Bhushan (ICCCNT, 2024)

Open Science principles in software product lines: The case of the UVL ecosystem. - José A. Galindo; David Romero-Organvidez; Megha Bhushan; José Miguel Horcas Aguilera; David Benavides 001 (SPLC (A), 2024)

An ontological knowledge-based method for handling feature model defects due to dead feature. - Megha Bhushan; José Ángel Galindo Duarte; Arun Negi; Piyush Samant (Eng. Appl. Artif. Intell., 2024)

Machine Learning-Based Academic Result Prediction System. - Megha Bhushan; Utkarsh Verma; Chetna Garg; Arun Negi (Int. J. Softw. Innov., 2024)

Disease diagnosis and control by reinforcement learning techniques: a systematic literature review. - Aditya Dev Mishra; Ajay Kumar Shrivastava; Megha Bhushan (Discov. Comput., 2025)