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Data-Centric Deep Learning for Monkeypox Detection: Hyperdatasets Toward Robust and Generalizable Medical AI

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Data-Centric Deep Learning for Monkeypox Detection: Hyperdatasets Toward Robust and Generalizable Medical AI

Anastasios Andreadis et al · IEEE · 2026 · ISSN 2169-3536

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...

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

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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

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

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Hybrid Quantum-Classical Transfer Learning for Parameter-Efficient Code Generation

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Hybrid Quantum-Classical Transfer Learning for Parameter-Efficient Code Generation

Su-Chang Lim et al · IEEE · 2026 · ISSN 2169-3536

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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AI-Driven Penetration Testing for ARM Systems: Experimental Evaluation and Deployment Framework Across Four Paradigms

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AI-Driven Penetration Testing for ARM Systems: Experimental Evaluation and Deployment Framework Across Four Paradigms

Matthew Ragsdale et al · IEEE · 2026 · ISSN 2169-3536

ARM-based systems are widely deployed in edge and IoT settings, where penetration-testing tools must operate under strict memory, power, and thermal constraints, yet prior work offers limited deployment-oriented guidance...

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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