We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Explore how Edge AI transforms real-time decision-making in organizations, enhancing speed, privacy, and operational ...
Abstract: Sugarcane stem borer poses a significant threat to sugarcane production, causing extensive damage and economic losses in the agricultural sector. Accurately predicting the destruction rate ...
Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...
This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...
#DESCRIPTION: This project was developed as part of CodTech Internship Task-1, where I implemented a basic Decision Tree Classifier using Python. The objective was to understand how decision trees ...
The Department of the Air Force concluded the first experiment under the Decision Advantage Sprint for Human-Machine Teaming, or DASH, initiative, providing warfighters and software developers with an ...
Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Trump promised lower grocery prices ‘on Day One.’ Here’s what happened Disturbance in the Atlantic has ...
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