Pest Detection Based on Lightweight Locality-Aware Faster R-CNN

Accurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture.Since deep learning-based methods have achieved good performance in object detection, they have been successfully applied for pest detection and monitoring.However, the current pest detection methods fail to balance the relationship

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Chronic fatigue syndrome: identifying zebras amongst the horses

Abstract There are currently no investigative tools or physical signs that can confirm or refute the presence of chronic fatigue syndrome (CFS).As a result, clinicians must decide how long to keep looking for alternative explanations for fatigue before settling on a diagnosis of CFS.Too little investigation risks serious or easily treatable causes

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Oversampling ADC: A Review of Recent Design Trends

Oversampling analog-to-digital converters (ADC) serve as the backbone of high-performance, high-precision data interfaces, owing to their remarkable ability to filter out quantization noise.This attribute makes them the preferred choice for applications requiring high signal-to-noise ratio (SNR) and moderate bandwidth, with great design flexibility

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