Enhancing brain cancer type prediction through machine learning algorithms and feature selection techniques
C Gu, S Ren - Journal of Physics A: Mathematical and …, 2024 - iopscience.iop.org
The manual identification of brain cancer types is often fraught with inaccuracies, leading to
potential delays in diagnosis and treatment planning. This study presents a novel approach …
potential delays in diagnosis and treatment planning. This study presents a novel approach …
Targeted vaccination for Covid-19 based on machine learning model: A case study of Jobs' prioritization
Today, the spread of the coronavirus has affected many models of life. Despite making some
vaccines such as AstraZeneca, Pfizer-BioNTech, and Moderna, vaccination has not been …
vaccines such as AstraZeneca, Pfizer-BioNTech, and Moderna, vaccination has not been …
Improved filter ranking incorporated binary black hole algorithm for feature selection
Feature selection is a very important preprocessing step in all machine learning tasks.
Selection of the most informative attributes increases algorithm performance, provides …
Selection of the most informative attributes increases algorithm performance, provides …
D-ACO/GA-A bio-inspired strategy for feature selection in anomaly traffic detection in smart Internet of Things environments
AHGL Júnior, J Celestino… - … Conference on Information …, 2024 - ieeexplore.ieee.org
With the growth of the Internet of Things (IoT) and its adoption, organizations are confronted
with security challenges. This highlighted the need for controls to reinforce information …
with security challenges. This highlighted the need for controls to reinforce information …
Improving Black Hole Algorithm Performance by Coupling with Genetic Algorithm for Feature Selection
Feature selection is a very important preprocessing step in machine learning tasks.
Selecting the most informative features provides several advantages like removing …
Selecting the most informative features provides several advantages like removing …