Chandrashekhar Azad

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Impact Analysis

Diabetes Mellitus

Design Space Exploration

Top Venues

EAI Endorsed Trans. Pervasive Health Technol.

Multim. Tools Appl.

Int. J. Softw. Innov.

Publications

Pradip Dhal, Chandrashekhar Azad
A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text. Neural Comput. Appl. 36 (7) (2024)
Pradip Dhal, Chandrashekhar Azad
Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification. Multim. Tools Appl. 83 (9) (2024)
Pradip Dhal, Chandrashekhar Azad
A lightweight filter based feature selection approach for multi-label text classification. J. Ambient Intell. Humaniz. Comput. 14 (9) (2023)
Pradip Dhal, Chandrashekhar Azad
A comprehensive survey on feature selection in the various fields of machine learning. Appl. Intell. 52 (4) (2022)
Dharmveer Kumar Yadav, Chandrashekhar Azad, Jagannath Singh, Dibya Ranjan Das Adhikary
CIAFP: A Change Impact Analysis with Fault Prediction for Object-Oriented Software. Int. J. Softw. Innov. 10 (1) (2022)
Mahesh Gawali, Chandrashekhar Azad
Ensemble based feature selection approach for malware analysis. IC3 (2022)
Chandrashekhar Azad, Bharat Bhushan, Rohit Sharma, Achyut Shankar, Krishna Kant Singh, Aditya Khamparia
Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus. Multim. Syst. 28 (4) (2022)
Pradip Dhal, Chandrashekhar Azad
A multi-objective feature selection method using Newton's law based PSO with GWO. Appl. Soft Comput. 107 (2021)
Sumit Sharma, Chandrashekhar Azad
A hybrid approach for feature selection based on global and local optimization for email spam detection. ICCCNT (2021)
Chandrashekhar Azad, Ashok Kumar Mehta, Dindayal Mahto, Dharmveer Kumar Yadav
Support Vector Machine based eHealth Cloud System for Diabetes Classification. EAI Endorsed Trans. Pervasive Health Technol. 6 (22) (2020)
Saurabh Jha, Ashok Kumar Mehta, Chandrashekhar Azad
A fuzzy logic based approach for prediction of basal cell carcinoma and squamous cell carcinoma among the data of skin cancer. EAI Endorsed Trans. Pervasive Health Technol. 5 (20) (2020)
Ipsita Biswas Mahapatra, Utkarsh Agarwal, Chandrashekhar Azad, S. K. Nandy
Design Space Exploration of an Execution-Driven Functional Simulation Methodology. VLSI Design (2018)