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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids.
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Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia.
Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.
View Article and Find Full Text PDFBioinspired Superwettability Surface Strategies for Condensation Heat Transfer.
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Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, P. R. China.
Along with the development of miniaturization, integration, and high power of electronic chips in the 5G and artificial intelligence era and their urgent need for technologies enabled to solve high heat flux dissipation in limited space, investigating bioinspired extreme superwettability surfaces with high-efficiency condensation heat transfer (CHT) performance has attracted great interest in academic and industrial communities. Compared with filmwise condensation of flat hydrophilic surfaces featured with continuous liquid films, dropwise condensation of flat hydrophobic surfaces is a more efficient type of energy transport way. However, discrete condensate drops can only shed off the hydrophobic flat surfaces under gravity until their sizes reach the capillary length of liquid, e.
View Article and Find Full Text PDFThe Drosophila melanogaster olfactory system is one of the most intensively studied parts of the nervous system in any animal. Composed of ~60 independent olfactory neuron classes, with several associated hygrosensory and thermosensory pathways, it has been subject to diverse types of experimental analyses. However, synthesizing the available data is limited by the incompleteness and inconsistent nomenclature found in the literature.
View Article and Find Full Text PDFImproving the Effectiveness of Sample Size Re-Estimation: An Operating Characteristic Focused, Hybrid Frequentist-Bayesian Approach.
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View Article and Find Full Text PDFPorous carbon nanosheets integrated with graphene-wrapped CoO and CoNx as efficient bifunctional oxygen electrocatalysts for rechargeable zinc-air batteries.
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CAS Key Laboratory of Carbon Materials, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China. Electronic address:
The development of advanced bifunctional oxygen electrocatalysts for the oxygen reduction reactions (ORR) and oxygen evolution reactions (OER) is crucial for the practical application of zinc-air batteries (ZABs). Herein, porous carbon nanosheets integrated with abundant graphene-wrapped CoO and CoNx (CoO/CoNx-C) were successfully fabricated through a simple one-step pyrolysis. With convenient porous channel and large accessible surface, abundant CoO/CoNx species and graphene wrapping structure, CoO/CoNx-C exhibited a half-wave potential of 0.
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