IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Devdiscourse

How AI is used in wildfire management and where it falls short

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...
Telefonica

What are machine learning algorithms?

Algorithms in this branch of AI receive training data to find patterns and create models that can be applied to new data. Before learning what machine learning algorithms are, let’s briefly review ...
IEEE

Analysis of Decision Tree and Random Forest Algorithms for Nutrient Deficiency Classification in Citrus Leaves through Image Processing

Abstract: The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes ...
SciELO

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...