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10 resultados encontrados.

Tipos de recurso: Libro electrónico Artículo Revista Tesis Capítulo
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Adaptive Hierarchical Parameter Transmission for Federated Learning in MEC Environments With Dynamic Network Awareness
Artículo
Material complementario disponible Artículo DOAJ
Adaptive Hierarchical Parameter Transmission for Federated Learning in MEC Environments With Dynamic Network Awareness
Yuanhe Qiu et al · IEEE · 2026 · ISSN 2169-3536
Federated learning (FL) in mobile edge computing (MEC) operates over wireless links with time-varying bandwidth, latency, and packet loss, which makes conventional full-model synchronization inefficient and vulnerable to...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
Artículo
Material complementario disponible Artículo DOAJ
Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
P. T. Amrutha et al · IEEE · 2026 · ISSN 2169-3536
Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Integrating CCD and Adaptive-dNBR With Metaheuristic-Optimized Hybrid Deep Learning for Wildfire Detection and Susceptibility Mapping in Los Angeles County
Artículo
Acceso abierto Artículo DOAJ
Integrating CCD and Adaptive-dNBR With Metaheuristic-Optimized Hybrid Deep Learning for Wildfire Detection and Susceptibility Mapping in Los Angeles County
Arief Rizqiyanto Achmad et al · IEEE · 2026 · ISSN 1939-1404
Wildfires are among the most destructive natural disasters and pose significant risks to ecosystems, infrastructure, and human lives. This study focuses on wildfire susceptibility mapping in Los Angeles County, a region ...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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MIRN: A Global Context and Progressive Feature Alignment Network for Oriented Object Detection of Multimineral in Mining Areas
Artículo
Acceso abierto Artículo DOAJ
MIRN: A Global Context and Progressive Feature Alignment Network for Oriented Object Detection of Multimineral in Mining Areas
Xinrui Yu et al · IEEE · 2026 · ISSN 1939-1404
Intelligent mining area detection is fundamental for ecological monitoring and sustainable development of mining areas. However, current remote sensing detection lacks high-quality multimineral rotated object detection d...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng
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Physics-Informed Enhanced Machine Learning for Global Vegetation Optical Depth Retrieval Using Spaceborne GNSS-R
Artículo
Acceso abierto Artículo DOAJ
Physics-Informed Enhanced Machine Learning for Global Vegetation Optical Depth Retrieval Using Spaceborne GNSS-R
Jinwei Bu et al · IEEE · 2026 · ISSN 1939-1404
Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng
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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning
Artículo
Acceso abierto Artículo DOAJ
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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QATNet: A Lightweight Quantum–Classical Tabular Network for Low-Latency Intrusion Detection
Artículo
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QATNet: A Lightweight Quantum–Classical Tabular Network for Low-Latency Intrusion Detection
Abubakar Danasabe et al · IEEE · 2026 · ISSN 2689-1808
Modern communication environments ranging from smart mobility infrastructures to digitally integrated health care systems demand adaptable and trustworthy network security. In this situation, software-defined networks (S...
LCC LCC:Atomic physics. Constitution and properties of matter; LCC:Materials of engineering and construction. Mechanics of mIdioma eng
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TemporalFED: A Software Module for Detecting Cyberattacks in Industry 4.0 Time-Series Data Using Decentralized Federated Learning
Artículo
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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
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Music-Enhanced Brain Connectivity and Memory Performance: Comparative Analysis of Traditional and Digital Learning Mediums Using EEG
Artículo
Acceso abierto Artículo DOAJ
Music-Enhanced Brain Connectivity and Memory Performance: Comparative Analysis of Traditional and Digital Learning Mediums Using EEG
Keerthik Dhivya Rajakumar et al · IEEE · 2026 · ISSN 2169-3536
Extensive research has demonstrated that music enhances cognitive functions, such as learning, reasoning, and memory. This study investigated the influence of music on short- and long-term memory while learning through t...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Improving the Retrieval Accuracy of Spaceborne GNSS-R Ocean Surface Altimetry Based on a Novel Attention Mechanism Model
Artículo
Acceso abierto Artículo DOAJ
Improving the Retrieval Accuracy of Spaceborne GNSS-R Ocean Surface Altimetry Based on a Novel Attention Mechanism Model
Longfei Wu et al · IEEE · 2026 · ISSN 1939-1404
Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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