FACIAL ASYMMETRY REVISITED: PART I- DIAGNOSIS AND TREATMENT PLANNING


Outlier Reconstruction Based Distribution System State Estimation Using Equivalent Model of Long Short-term Memory and Metropolis-Hastings Sampling

The accuracy of distribution system state estimation (DDSE) is reduced when phasor measurement unit (PMU) measurements contain outliers because of cyber attacks or global positioning system spoofing attacks.Therefore, to enhance the robustness of DDSE to measurement outliers, approximate the target distribution of Metropolis-Hastings (MH) sampling,

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Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation

Semantic segmentation of remote sensing imagery is a fundamental task in intelligent interpretation.Since deep convolutional General Electronics Books neural networks (DCNNs) performed considerable insight in learning implicit representations from data, numerous works in recent years have transferred the DCNN-based model to remote sensing data anal

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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning.

Vehicular Networks (VN) utilizing Software Defined Networking (SDN) have garnered significant attention recently, paralleling the advancements in wireless networks.VN are deployed to optimize traffic flow, enhance the driving experience, and ensure road safety.However, VN are vulnerable to Distributed Denial of Service (DDoS) attacks, posing severe

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