Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.
A from-scratch implementation of a CART (Classification and Regression Tree) algorithm in Rust. This repository provides a library and a command-line script, eval_tree, for training, evaluating, and ...
Recently, many machine learning techniques have been presented to detect brain lesions or determine brain lesion types using microwave data. However, there are limited studies analyzing the location ...
The owner of The Smoking Tree on Wednesday filed an appeal with the Minnesota Court of Appeals regarding the Albert Lea City Council's decision to deny his cannabis retail registration, arguing that ...
President Donald Trump said Monday he is considering whether to reclassify marijuana as a less dangerous drug and would decide in “the next few weeks.” Trump told reporters that he had discussed the ...
Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
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