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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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TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning

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TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning

Angel Luis Perales Gomez et al · IEEE · 2026 · ISSN 2169-3536

Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues, such as cyberattacks affecting industrial processes. Federated Learn...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.

Open Access

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