Chandrashekhar Azad

According to our database, Chandrashekhar Azad authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification.

Pradip Dhal, Chandrashekhar Azad

Multim. Tools Appl., March, 2024

A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text.

Pradip Dhal, Chandrashekhar Azad

Neural Comput. Appl., 2024

2023

A lightweight filter based feature selection approach for multi-label text classification.

Pradip Dhal, Chandrashekhar Azad

J. Ambient Intell. Humaniz. Comput., 2023

2022

Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus.

Chandrashekhar Azad, Bharat Bhushan, Rohit Sharma, Achyut Shankar, Krishna Kant Singh, Aditya Khamparia

Multim. Syst., 2022

CIAFP: A Change Impact Analysis with Fault Prediction for Object-Oriented Software.

Dharmveer Kumar Yadav, Chandrashekhar Azad, Jagannath Singh, Dibya Ranjan Das Adhikary

Int. J. Softw. Innov., 2022

A comprehensive survey on feature selection in the various fields of machine learning.

Pradip Dhal, Chandrashekhar Azad

Appl. Intell., 2022

Ensemble based feature selection approach for malware analysis.

Mahesh Gawali, Chandrashekhar Azad

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021

A multi-objective feature selection method using Newton's law based PSO with GWO.

Pradip Dhal, Chandrashekhar Azad

Appl. Soft Comput., 2021

A hybrid approach for feature selection based on global and local optimization for email spam detection.

Sumit Sharma, Chandrashekhar Azad

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020

A fuzzy logic based approach for prediction of basal cell carcinoma and squamous cell carcinoma among the data of skin cancer.

Saurabh Jha, Ashok Kumar Mehta, Chandrashekhar Azad

EAI Endorsed Trans. Pervasive Health Technol., 2020

Support Vector Machine based eHealth Cloud System for Diabetes Classification.

Chandrashekhar Azad, Ashok Kumar Mehta, Dindayal Mahto, Dharmveer Kumar Yadav

EAI Endorsed Trans. Pervasive Health Technol., 2020

2018

Design Space Exploration of an Execution-Driven Functional Simulation Methodology.

Ipsita Biswas Mahapatra, Utkarsh Agarwal, Chandrashekhar Azad, S. K. Nandy

Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018