Qasem Al-Tashi

Orcid: 0000-0001-7208-693X

According to our database1, Qasem Al-Tashi authored at least 15 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers.
Patterns, August, 2023

Multi-objective chaos game optimization.
Neural Comput. Appl., July, 2023

Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.
Comput. Syst. Sci. Eng., 2023

Coordination of Enhanced Control Schemes for Optimal Operation and Ancillary Services of Grid-Tied VSWT System.
IEEE Access, 2023

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review.
IEEE Access, 2023

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection.
IEEE Access, 2023

U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique.
Proceedings of the 13th International Conference on Information Technology in Asia, 2023

2022
Hyperparameter Optimization of Evolving Spiking Neural Network for Time-Series Classification.
New Gener. Comput., 2022

Hybrid binary whale with harris hawks for feature selection.
Neural Comput. Appl., 2022

Particle Swarm Optimization: A Comprehensive Survey.
IEEE Access, 2022

2021
Hybrid Binary Grey Wolf With Harris Hawks Optimizer for Feature Selection.
IEEE Access, 2021

2020
Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study.
Symmetry, 2020

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification.
IEEE Access, 2020

Approaches to Multi-Objective Feature Selection: A Systematic Literature Review.
IEEE Access, 2020

2019
Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection.
IEEE Access, 2019


  Loading...