An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
The growing demand for biofuels and sugar has prompted the selection of sugarcane cultivars with higher fiber content and apparent sucrose levels. In the initial phase of a breeding program, ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...
ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...
Most genomic prediction models are linear regression models that assume continuous and normally distributed phenotypes, but responses to diseases such as stripe rust (caused by Puccinia striiformis f.
College of Mathematics and Computer Science, Hunan Normal University, Changsha, China Autism spectrum disorder (ASD) is mainly reflected in the communication and language barriers, difficulties in ...
Abstract: Impervious surface percentage(ISP) is the key parameter for urban regional environment research. This paper proposes the method of ISP estimation by using support vector machine(SVM) on TM ...