Ashima Kukkar

Orcid: 0000-0001-7664-1005

According to our database1, Ashima Kukkar authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep adaptive CHIONet: designing novel herd immunity prediction of COVID-19 pandemic using hybrid RNN with LSTM.
Multim. Tools Appl., March, 2024

Machine learning approach for data analysis and predicting coronavirus using COVID-19 India dataset.
Int. J. Bus. Intell. Data Min., 2024

2023
Bug severity classification in software using ant colony optimization based feature weighting technique.
Expert Syst. Appl., November, 2023

Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem.
IEEE Trans. Comput. Soc. Syst., August, 2023

Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms.
Educ. Inf. Technol., August, 2023

ProRE: An ACO- based programmer recommendation model to precisely manage software bugs.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

Pandemic outbreak prediction with an enhanced parameter optimisation algorithm using machine learning models.
Int. J. Electron. Secur. Digit. Forensics, 2023

Improving Sentiment Analysis in Social Media by Handling Lengthened Words.
IEEE Access, 2023

2022
Study of industrial interactive design system based on virtual reality teaching technology in industrial robot.
Paladyn J. Behav. Robotics, 2022

Data mining applications in university information management system development.
J. Intell. Syst., 2022

Automatic control of computer application data processing system based on artificial intelligence.
J. Intell. Syst., 2022

2020
A feature selection model for prediction of software defects.
Int. J. Embed. Syst., 2020

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique.
IEEE Access, 2020

2019
A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting.
Sensors, 2019


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