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Dual Feature-Based Intrusion Detection System for IoT Network Security

International Journal of Computational Intelligence Systems
The Internet of Things (IoT) has enabled widespread connectivity of smart devices but remains susceptible to cyber intrusions. In this research, a novel dual feature optimization using deep learning network for intrusion Detection (FOUND) technique has ...
A. Biju, S. Wilfred Franklin
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Traffic flow forecasting using natural selection based Hybrid Bald Eagle Search - Grey Wolf Optimization algorithm [PDF]

In a fast-moving world, transportation consumes most of the time and resources. Traffic prediction has become a thrust application for machine learning algorithms to overcome the hurdles faced by congestion.
Sadiq, A
core

Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM

Energy Informatics
This paper proposes a novel approach for transformer fault diagnosis. Initially, a high-dimensional feature set comprising 19 features related to five gas concentrations is constructed to reflect the gas-fault relationship.
Cheng Liu, Weiming Yang
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MÉTODOLOGÍA PARA LA GESTIÓN ENERGÉTICA ÓPTIMA DE EDIFICIOS INTELIGENTES [PDF]

RESUMEN EN CASTELLANO La racionalización del consumo de energía eléctrica y el desarrollo de edificios inteligentes se han convertido en áreas de interés crucial para los investigadores en energía.
Noby Ahmed, Heba Yousef
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Application of ERTS-1 data to integrated state planning in the state of Maryland [PDF]