Region-Focusing Data Augmentation via Salient Region Activation and Bitplane Recombination for Target Detection

As the performance of a convolutional neural network is logarithmically proportional to the amount of training data, data augmentation has attracted increasing attention in recent years.Although the current data augmentation methods are efficient because they force the network to learn multiple parts of a given training image through occlusion or r

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Randomized Beamforming With Generalized Selection Transmission for Security Enhancement in MISO Wiretap Channels

Transmit beamforming (TBF) has been proposed as an effective Ornament approach to enhance the security performance of multiple-input single-output (MISO) wiretap channels.However, this secrecy enhancement comes at some expenses, such as power consumption and the amount of signal processing.In addition, in block fading channels, TBF fails to deliver

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Bias by gender: exploring gender-based differences in the endorsement of ADHD symptoms and impairment among adult patients

BackgroundResearch on adult attention-deficit/hyperactivity disorder (ADHD) remains BELTS limited, particularly regarding the experiences of women.MethodsThis exploratory study investigates patient responses to the Diagnostic Interview for ADHD in Adults (DIVA-5), which assesses current (adult) and retrospective (childhood) ADHD symptoms based on c

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