A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting. - Ashima Kukkar; Rajni Mohana; Anand Nayyar; Jeamin Kim; Byeong-Gwon Kang; Naveen K. Chilamkurti (Sensors, 2019)

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique. - Ashima Kukkar; Rajni Mohana; Yugal Kumar; Anand Nayyar; Muhammad Bilal 003; Kyung-Sup Kwak (IEEE Access, 2020)

A feature selection model for prediction of software defects. - Amit Kumar; Yugal Kumar; Ashima Kukkar (Int. J. Embed. Syst., 2020)

Automatic control of computer application data processing system based on artificial intelligence. - Hong Wang; Lixia Hao; Amit Sharma; Ashima Kukkar (J. Intell. Syst., 2022)

Data mining applications in university information management system development. - Minshun Zhang; Juntao Fan; Amit Sharma; Ashima Kukkar (J. Intell. Syst., 2022)

Study of industrial interactive design system based on virtual reality teaching technology in industrial robot. - Ying Liu 067; Ashima Kukkar; Mohd Asif Shah (Paladyn J. Behav. Robotics, 2022)

Improving Sentiment Analysis in Social Media by Handling Lengthened Words. - Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar; Mohd Asif Shah (IEEE Access, 2023)

Pandemic outbreak prediction with an enhanced parameter optimisation algorithm using machine learning models. - Soni Singh; K. R. Ramkumar; Ashima Kukkar (Int. J. Electron. Secur. Digit. Forensics, 2023)

ProRE: An ACO- based programmer recommendation model to precisely manage software bugs. - Ashima Kukkar; Umesh Kumar Lilhore; Jaroslav Frnda; Jasminder Kaur Sandhu; Rashmi Das; Nitin Goyal; Arun Kumar; Kamalakanta Muduli; Filip Rezac (J. King Saud Univ. Comput. Inf. Sci., 2023)

Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms. - Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar (Educ. Inf. Technol., 2023)

Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem. - Ashima Kukkar; Dinesh Gupta; Shehab Mohamed Beram; Mukesh Soni; Nikhil Kumar Singh 003; Ashutosh Sharma; Rahul Neware; Mohammad Shabaz; Ali Rizwan 002 (IEEE Trans. Comput. Soc. Syst., 2023)

Bug severity classification in software using ant colony optimization based feature weighting technique. - Ashima Kukkar; Yugal Kumar; Ashutosh Sharma; Jasminder Kaur Sandhu (Expert Syst. Appl., 2023)

Machine learning approach for data analysis and predicting coronavirus using COVID-19 India dataset. - Soni Singh; K. R. Ramkumar; Ashima Kukkar (Int. J. Bus. Intell. Data Min., 2024)

Deep adaptive CHIONet: designing novel herd immunity prediction of COVID-19 pandemic using hybrid RNN with LSTM. - Soni Singh; K. R. Ramkumar; Ashima Kukkar (Multim. Tools Appl., 2024)

A novel methodology using RNN + LSTM + ML for predicting student's academic performance. - Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar (Educ. Inf. Technol., 2024)

AEC: A novel adaptive ensemble classifier with LIME and SHAP-Based interpretability for fake news detection. - Ashima Kukkar; Gagandeep Kaur (Expert Syst. Appl., 2025)

LSTM-SHAP based academic performance prediction for disabled learners in virtual learning environments: a statistical analysis approach. - Emi Kalita; Houssam El Aouifi; Ashima Kukkar; Sadiq Hussain; Nazar T. Ali; Silvia Gaftandzhieva (Soc. Netw. Anal. Min., 2025)