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Evaluation of Support Vector Machine and Random Forest Models for EMG-Based Knee Motion Phase Classification

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Evaluation of Support Vector Machine and Random Forest Models for EMG-Based Knee Motion Phase Classification

Ing Teck Phang et al · IEEE · 2026 · ISSN 2169-3536

Knee-related conditions, such as anterior cruciate ligament injuries and meniscal ruptures, significantly affect mobility and quality of life. Although range-of-motion exercises are important for rehabilitation, interpre...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning

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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning

Joao Victor do Nascimento Lima et al · IEEE · 2026 · ISSN 2169-3536

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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