Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...

Wireless Sensor Networks (WSNs) are becoming very promising solutions on the Internet of Things (IoT) paradigm for environmental observing. This study uses Decision Tree (DT) algorithms to examine ...

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

The irrigation water used in microirrigation systems should be carefully evaluated to assess any potential clogging problems. Contact the laboratory that will be doing the water analysis to get ...

Despite the many methods available for feature representation, efficiently utilizing rich, high-dimensional information remains a significant challenge. Our work introduces ChemXTree, a novel ...

The algorithm works in an abstracted road map called a graph: a network of interconnected points (called vertices) in which the links between vertices are labeled with numbers (called weights). These ...

This work presents a spectrofluorimetric system for the rapid detection, classification, and quantification of emerging organic pollutants (EOPs) in water samples without reagents or preparation. The ...

This project was developed as part of the Technology for Indonesia (TFI) 2024 initiative, supported by the KSE scholarship program. The goal is to create a real-time water quality monitoring system ...

For classification, we compare two machine learning algorithms (Random Forest and Decision Trees) and two deep learning algorithms (Convolutional Neural Networks and Recurrent Neural Networks). The ...