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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks

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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks

Thiagarajan Counassegarane et al · Springer · 2026 · ISSN 2948-2992

Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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An algorithm for dynamic adjustment of personalized education management strategies driven by reinforcement learning

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An algorithm for dynamic adjustment of personalized education management strategies driven by reinforcement learning

Xin Chen · Springer · 2026 · ISSN 2731-0809

Abstract Individualized educational management cannot be avoided in meeting various learner needs in cases where teaching strategies are changed in line with the performance trends and preferences of students. Reinforcem...

LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng

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ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust Networks

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ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust Networks

Pasam Naga Kavitha et al · Springer · 2026 · ISSN 2948-2992

Abstract The rapid adoption of encrypted communication protocols has raised privacy levels but has also dealt a significant blow to traditional intrusion detection systems that rely on payload inspection for anomaly dete...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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A hybrid ANP and machine learning framework for contractor health safety environment and quality performance evaluation

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A hybrid ANP and machine learning framework for contractor health safety environment and quality performance evaluation

Payam Khordoustan et al · Springer · 2026 · ISSN 2731-8117

Abstract Contractor-related deficiencies remain a critical challenge in workplace health and safety management within high-risk industries, particularly in the oil and gas sector, where heterogeneous safety practices and...

LCC LCC:Probabilities. Mathematical statistics; TENDOkluZm9ybWF0aW9uIHRoZW9yeQ~~Idioma eng

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High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains

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High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains

Omar Almomani et al · Springer · 2026 · ISSN 2731-9229

Abstract The primary objective of this study is to develop and validate robust data-driven models for accurately predicting bacterial growth inhibition induced by cerium oxide nanoparticles across different bacterial str...

LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng

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