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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
Article
Article
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 English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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3PS-RAN: A Real-Time Framework for Securing the O-RAN RACH Against DDoS Attacks Toward NextG
Article
Article
3PS-RAN: A Real-Time Framework for Securing the O-RAN RACH Against DDoS Attacks Toward NextG
Nurullah Aksu et al · IEEE · 2026 · ISSN 2169-3536
Even with the introduction of additional security features, the progression toward 6G and Open Radio Access Network (O-RAN) architectures expands security risks, increasing both the scale and complexity of mobile network...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
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A Data-Driven Framework for Vaccine Demand Forecasting and Inventory Simulation in a Hospital Travel Clinic
Article
Article
A Data-Driven Framework for Vaccine Demand Forecasting and Inventory Simulation in a Hospital Travel Clinic
Sanyapong Petchrompo et al · IEEE · 2026 · ISSN 2169-3536
Forecasting vaccine demand and determining inventory policies are critical challenges in healthcare supply chains, where uncertainty poses significant operational risks. This study proposes a two-step data-driven framewo...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
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Feature Engineering in Unsupervised DNS Botnet Detectors Based on eXplainable AI
Article
Article
Feature Engineering in Unsupervised DNS Botnet Detectors Based on eXplainable AI
Eleftheria Arkadopoulou et al · IEEE · 2026 · ISSN 2169-3536
Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Ver opciones de acceso Bibliographic record
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