AN EFFECTIVE FRAMEWORK USING SPATIAL CORRELATION AND EXTREME LEARNING MACHINE FOR MOVING CAST SHADOW DETECTION

An Effective Framework Using Spatial Correlation and Extreme Learning Machine for Moving Cast Shadow Detection

Moving cast shadows of moving objects significantly degrade the performance of many high-level computer vision applications such as object tracking, object classification, behavior recognition and scene interpretation.Because they possess similar motion characteristics with their objects, moving cast shadow detection is still challenging.In this pa

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IDENTIFICATION OF SOCIAL SUPPORT FOR CHILDREN AS SURVIVORS OF DOMESTIC VIOLENCE AT THE SURABAYA EMBUN FOUNDATION

Introduction: Violence is an act that can cause an injury and affects other people both physically and psychologically as opposed to the law.Violence can be considered a crime.In general, violence targets groups or parties that are vulnerable.Children are part of vulnerable groups to violent behavior, including child abuse.According to DPKP3A data,

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Iterative Frequency-Domain Channel Estimation and Equalization for Ultra-Wideband Systems with Short Cyclic Prefix

In impulse radio ultra-wideband (IR-UWB) systems where the channel lengths are MIRRORS on the order of a few hundred taps, conventional use of frequency-domain (FD) processing for channel estimation and equalization may not be feasible because the need to add a cyclic prefix (CP) to each block causes a significant reduction in the spectral efficien

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