Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 336 - 336

Published: Jan. 1, 2025

The real-time prediction of energy production is essential for effective management and planning. Forecasts are in various areas, including the efficient utilization resources, provision flexibility services, decision-making amidst uncertainty, balancing supply demand, optimization online systems. This study examines use tree-based ensemble learning models renewable prediction, focusing on environmental factors such as temperature, pressure, humidity. study’s primary contribution lies demonstrating effectiveness bagged trees model reducing overfitting achieving higher accuracy compared to other models, while maintaining computational efficiency. results indicate that less sophisticated inadequate accurately representing complex datasets. evaluate machine methods delivering valuable insights sectors managing conditions predicting sources

Language: Английский

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Protecting Healthcare Systems Through an ML-Powered Cyberattack Detection Within Software-Defined Networking (SDN)

Published: April 26, 2024

It is pointed out that the healthcare industry faces big problems when it comes to keeping private patient data safe in software-defined networks (SDNs). Healthcare apps need have strong security measures because online risks are getting more complicated. This research work suggests a way fix problem by using machine learning techniques find and stop lot of different types cyber systems. Improving safety very important, this project looks at how do it. Protecting making sure well important for patients healthy people's trust institutions. The aims make systems safer resilient successfully fighting dangers improving network performance. In project, ensemble methods like Stacking Voting Classifiers were used improve accuracy, they able achieve 100% accuracy finding cyberattacks on Software-Defined Networking. Built an easy-to-use Flask-based front end with login can be situations.

Language: Английский

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Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits

IEEE Transactions on Machine Learning in Communications and Networking, Journal Year: 2024, Volume and Issue: 2, P. 925 - 938

Published: Jan. 1, 2024

Language: Английский

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QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models

Published: June 18, 2024

Language: Английский

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