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Chandrashekhar Azad
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2020 – today
- 2024
- [j9]Pradip Dhal, Chandrashekhar Azad:
Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification. Multim. Tools Appl. 83(9): 26929-26969 (2024) - [j8]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): 3525-3553 (2024) - 2023
- [j7]Pradip Dhal, Chandrashekhar Azad:
A lightweight filter based feature selection approach for multi-label text classification. J. Ambient Intell. Humaniz. Comput. 14(9): 12345-12357 (2023) - 2022
- [j6]Pradip Dhal, Chandrashekhar Azad:
A comprehensive survey on feature selection in the various fields of machine learning. Appl. Intell. 52(4): 4543-4581 (2022) - [j5]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): 1-19 (2022) - [j4]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): 1289-1307 (2022) - [c3]Mahesh Gawali, Chandrashekhar Azad:
Ensemble based feature selection approach for malware analysis. IC3 2022: 136-140 - 2021
- [j3]Pradip Dhal, Chandrashekhar Azad:
A multi-objective feature selection method using Newton's law based PSO with GWO. Appl. Soft Comput. 107: 107394 (2021) - [c2]Sumit Sharma, Chandrashekhar Azad:
A hybrid approach for feature selection based on global and local optimization for email spam detection. ICCCNT 2021: 1-6 - 2020
- [j2]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): e4 (2020) - [j1]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): e3 (2020)
2010 – 2019
- 2018
- [c1]Ipsita Biswas Mahapatra, Utkarsh Agarwal, Chandrashekhar Azad, S. K. Nandy:
Design Space Exploration of an Execution-Driven Functional Simulation Methodology. VLSID 2018: 295-300
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last updated on 2024-04-25 05:57 CEST by the dblp team
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