Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models DOI
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar

et al.

Published: Sept. 14, 2023

Hyperparameter tuning is a crucial step in the process of building accurate machine learning models. Finding optimal combination hyperparameters can be challenging, especially complex models with large hyperparameter spaces. Genetic algorithms (GAs) have become popular approach to address this challenge by efficiently exploring space and selecting best combination. In paper, different are used along genetic search for prediction multi-diseases. The purpose using algorithm optimize hyper-parameters. Based upon evaluations we come know which performed well after hyper-parameter optimization meta heuristic optimization.

Language: Английский

A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges DOI Open Access
Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul

et al.

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(3), P. 1863 - 1895

Published: Nov. 27, 2022

Language: Английский

Citations

109
A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images DOI

Pushpendra Singh Sisodia,

Gaurav Ameta, Yogesh Kumar

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(4), P. 2409 - 2429

Published: Jan. 3, 2023

Language: Английский

Citations

43
Foodborne Disease Symptoms, Diagnostics, and Predictions Using Artificial Intelligence-Based Learning Approaches: A Systematic Review DOI
Yogesh Kumar, Inderpreet Kaur, Shakti Mishra

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 25, 2023

Language: Английский

Citations

27
A Review on Prediction and Prognosis of the Prostate Cancer and Gleason Grading of Prostatic Carcinoma Using Deep Transfer Learning Based Approaches DOI
G. Prabu Kanna,

S J K Jagadeesh Kumar,

Pavithra Parthasarathi

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(5), P. 3113 - 3132

Published: Feb. 23, 2023

Language: Английский

Citations

25
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases DOI Open Access
Kavita Thakur, Manjot Kaur, Yogesh Kumar

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4477 - 4497

Published: June 8, 2023

Language: Английский

Citations

24
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning DOI
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar

et al.

Service Oriented Computing and Applications, Journal Year: 2024, Volume and Issue: 18(2), P. 163 - 182

Published: Jan. 23, 2024

Language: Английский

Citations

9
A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases DOI
Krishna Modi, Ishbir Singh, Yogesh Kumar

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(8), P. 4733 - 4756

Published: June 24, 2023

Language: Английский

Citations

18
An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters DOI
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(2), P. 1051 - 1078

Published: Oct. 19, 2023

Language: Английский

Citations

17
Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review DOI
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(5), P. 3031 - 3058

Published: Feb. 11, 2023

Language: Английский

Citations

16
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs DOI
Ashish Kumar,

Nishant Kumar,

Jeril Kuriakose

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(6), P. 3867 - 3889

Published: May 9, 2023

Language: Английский

Citations

16