A genetic algorithm-based feature selection

OH Babatunde, L Armstrong, J Leng, D Diepeveen - 2014 - ro.ecu.edu.au
This article details the exploration and application of Genetic Algorithm (GA) for feature
selection. Particularly a binary GA was used for dimensionality reduction to enhance the …

A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images

AR Ali, J Li, G Yang, SJ O'Shea - PeerJ Computer Science, 2020 - peerj.com
Skin lesion border irregularity is considered an important clinical feature for the early
diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we …

Development of spectral disease indices for 'Flavescence Dorée'grapevine disease identification

H Al-Saddik, JC Simon, F Cointault - Sensors, 2017 - mdpi.com
Spectral measurements are employed in many precision agriculture applications, due to
their ability to monitor the vegetation's health state. Spectral vegetation indices are one of …

Facial expression recognition and emotion classification system for sentiment analysis

J Jayalekshmi, T Mathew - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
A huge amount of data is available to the web users with evolution of web technology. The
available resources in web are used by the users and also they involve in giving feedbacks …

RETRACTED ARTICLE: Neutrosophic Cognitive Maps (NCM) based feature selection approach for early leaf disease diagnosis

FD Shadrach, G Kandasamy - Journal of Ambient Intelligence and …, 2021 - Springer
Early diagnosis of leaf ailments is the most necessary and prominent way to increase
agriculture production. In this paper, a computer-aided approach for classifying the ailments …

Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience

N Aimie-Salleh, MB Malarvili, AC Whittaker - Medical & biological …, 2019 - Springer
Adverse childhood experiences have been suggested to cause changes in physiological
processes and can determine the magnitude of the stress response which might have a …

Multimodal biometric: Iris and face recognition based on feature selection of iris with GA and scores level fusion with SVM

Y Bouzouina, L Hamami - 2017 2nd International Conference …, 2017 - ieeexplore.ieee.org
The purpose of this work is to develop a biometric bimodal system for the verification of the
person: Our bimodal system is going to combine the modality of the face with that of the iris …

[PDF][PDF] Automatic brain tumor detection and feature extraction from mriimage

MA Kabir - GSJ, 2020 - researchgate.net
The brain tumor is one of the major dangerous health problems. Early detection and
diagnosis of brain tumors reduce the mortality rate significantly. For efficient detection and …

Efficient hybrid algorithm based on genetic with weighted fuzzy rule for developing a decision support system in prediction of heart diseases

AZ Hameed, B Ramasamy, MA Shahzad… - The Journal of …, 2021 - Springer
In this article, the clinical decision support system is discussed under the weighted fuzzy rule
approach and genetic algorithm for computer-aided heart disease determination. The …

Classifying Chewing and Rumination in Dairy Cows Using Sound Signals and Machine Learning

S Abdanan Mehdizadeh, M Sari, H Orak, DF Pereira… - Animals, 2023 - mdpi.com
Simple Summary This article aims to investigate the nutritional behavior of dairy cattle,
aiming to comprehend their dietary requirements and eating habits. In this regard, an effort …