MULTISCALE CONVOLUTIONAL NEURAL NETWORKS FOR HAND DETECTION

Multiscale Convolutional Neural Networks for Hand Detection

Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and Decorative Jar sign language recognition.Although hand detection has been extensively studied for decades, it is still a challenging task

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Distance Estimation Using the Relative Densities and Connectivity of Sensor Nodes for Wireless Sensor Network Localization

Wireless sensor networks (WSNs) play a pivotal role within the Internet of Things (IoT) framework by seamlessly integrating sensor node functionalities with wireless connectivity.A critical research area regarding WSNs revolves around mitigating the constraints imposed by sensor node power consumption.Consequently, the estimation of a Ads sensor no

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Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry

Abstract Background Culicoides biting midges are vectors of bluetongue and Schmallenberg viruses that inflict large-scale disease epidemics in ruminant livestock in Europe.Methods based on morphological characteristics and sequencing of genetic markers are most commonly employed to differentiate ACCESSORIES Culicoides to species level.Proteomic met

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