A hybrid approach of differential evolution and artificial bee colony for feature selection

E Zorarpacı, SA Özel - Expert Systems with Applications, 2016 - Elsevier
Abstract “Dimensionality” is one of the major problems which affect the quality of learning
process in most of the machine learning and data mining tasks. Having high dimensional …

A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis

P Stephan, T Stephan, R Kannan… - Neural Computing and …, 2021 - Springer
Breast cancer is the most common among women that leads to death if not diagnosed at
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …

A survey on the applications of artificial bee colony in signal, image, and video processing

B Akay, D Karaboga - Signal, Image and Video Processing, 2015 - Springer
Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the
foraging behavior of honeybees. It has been successfully applied to many optimization …

A survey of breast cancer detection based on image segmentation techniques

BK Gayathri, P Raajan - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
In the present scenario digital image processing occupies a dynamic role in every area of
human survival. Image processing refers to progress the digital images and mine attributes …

Multi hive artificial bee colony programming for high dimensional symbolic regression with feature selection

S Arslan, C Ozturk - Applied Soft Computing, 2019 - Elsevier
Feature selection is a process that provides model extraction by specifying necessary or
related features and improves generalization. The Artificial Bee Colony (ABC) algorithm is …

Breast cancer classification using CNN extracted features: a comprehensive review

AK Sharma, A Nandal, T Ganchev… - Application of Deep …, 2022 - taylorfrancis.com
Medical imaging (MI) techniques have rapidly emerged as an important tool for clinicians. It
has all the more as of late been utilized for preventive medication or evaluating for different …

[PDF][PDF] Optimization of discrete wavelet transform features using artificial bee colony algorithm for texture image classification

FM Albkosh, MS Hitam, W Yussof… - International Journal of …, 2019 - academia.edu
Selection of appropriate image texture properties is one of the major issues in texture
classification. This paper presents an optimization technique for automatic selection of multi …

Modified artificial bee colony algorithms for solving multiple circle detection problem

S Aslan - The Visual Computer, 2021 - Springer
Determining circular shapes from digital images is one of the most required operations in
computer vision and its applications. Various techniques including evolutionary and swarm …

[PDF][PDF] Detection of biomedical images by using bio-inspired artificial intelligent

HAR Akkar, SA Salman - Eng. Technol. J, 2020 - iasj.net
Skin associated illnesses along with skin cancers are the foremost well-known illnesses
within the complete world. It's been discovered that one in every 10 people suffer from skin …

[PDF][PDF] Classification of gene expression data with optimized feature selection

T Ragunthar, S Selvakumar - Int. J. Recent Technol. Eng, 2019 - pdfs.semanticscholar.org
There are different types of fatal diseases that could possibly outspread to various parts of
the body. It thus becomes obligatory to predict the existence of such anomalies, in order to …