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9 resultados encontrados.

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Risk-Assessment and Visual Perception of Autonomous Microrobots Using Model-Free Reinforcement Learning to Cope With Multi-Challenging Environments
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Risk-Assessment and Visual Perception of Autonomous Microrobots Using Model-Free Reinforcement Learning to Cope With Multi-Challenging Environments
Trirat Radomngam et al · IEEE · 2026 · ISSN 2169-3536
Autonomous microrobotic navigation in life sciences is highly challenging due to environmental disturbances, unpredictable phenomena, diverse obstacles, and dynamic changes. These significantly limit motion of microrobot...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Adaptive Hierarchical Parameter Transmission for Federated Learning in MEC Environments With Dynamic Network Awareness
Artículo
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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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CaMT-iTire: Context-Aware Multi-Task Learning for Intelligent Tire Framework
Artículo
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CaMT-iTire: Context-Aware Multi-Task Learning for Intelligent Tire Framework
Suwoong Heo et al · IEEE · 2026 · ISSN 2169-3536
Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Dynamic UAV Path Planning Based on Reinforcement Learning With Posterior Zone Priority Weighted-GMM
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Dynamic UAV Path Planning Based on Reinforcement Learning With Posterior Zone Priority Weighted-GMM
Changha Lee et al · IEEE · 2026 · ISSN 2169-3536
Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...
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
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ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research
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ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research
Bavo Lesy et al · IEEE · 2026 · ISSN 2169-3536
The transport industry has recently shown significant interest in unmanned surface vehicles (USVs), specifically for port and inland waterway transport. These systems can improve operational efficiency and safety, which ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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BTSTNet: A Beamforming-Based Target Separation Transformer Network for Passive SONAR
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BTSTNet: A Beamforming-Based Target Separation Transformer Network for Passive SONAR
Yeonbi Jeong et al · IEEE · 2026 · ISSN 2169-3536
Passive SONAR has attracted significant attention in covert operations, enabling vessel detection and classification through spectrogram analysis of received signals without active transmission. However, in realistic oce...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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QATNet: A Lightweight Quantum–Classical Tabular Network for Low-Latency Intrusion Detection
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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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Z-IDS: Zero-Day Intrusion Detection in IoV Using Generative Adversarial Networks
Artículo
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Z-IDS: Zero-Day Intrusion Detection in IoV Using Generative Adversarial Networks
Kurmala Gowri Raghavendra Narayan et al · IEEE · 2026 · ISSN 2169-3536
With the rapid growth of Internet of Vehicles (IoV) technology, the attack surface has expanded significantly in recent years. Traditional intrusion detection systems, such as signature-based and rule-based approaches, a...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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