DETRIMENTAL STARFISH DETECTION ON EMBEDDED SYSTEM: A CASE STUDY OF YOLOV5 DEEP LEARNING ALGORITHM AND TENSORFLOW LITE FRAMEWORK

Detrimental Starfish Detection on Embedded System: A Case Study of YOLOv5 Deep Learning Algorithm and TensorFlow Lite framework

There is a great range of spectacular coral reefs in USA Stock Dolls the ocean world.Unfortunately, they are in jeopardy, due to an overabundance of one specific starfish called the coral-eating crown-of-thorns starfish (or COTS).This article provides research to deliver innovation in COTS control.Using a deep learning model based on the You Only L

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The Effect of HIV and Antiretroviral Therapy on Drug-Resistant Tuberculosis Treatment Outcomes in Eastern Cape, South Africa: A Cohort Study

South Africa has a dual high burden of HIV and drug-resistant TB (DR-TB).We sought to understand the association of HIV and antiretroviral therapy status with TB treatment outcomes.This was a retrospective chart review of 246 patients who began treatment at two DR-TB hospitals in Eastern Cape, South Africa between 2017 and 2020.A categorical outcom

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Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network

In this paper, Nature Book a novel Pixel-Voxel network is proposed for dense 3D semantic mapping, which can perform dense 3D mapping while simultaneously recognizing and labelling the semantic category each point in the 3D map.In our approach, we fully leverage the advantages of different modalities.That is, the PixelNet can learn the high-level co

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Perioperative, oncologic, and functional outcomes of robot-assisted partial nephrectomy for special types of renal tumors (hilar, endophytic, or cystic): an evidence-based analysis of comparative outcomes

PurposeThis study aims to perform a pooled analysis to compare the outcomes of robot-assisted partial nephrectomy (RAPN) between complex tumors (hilar, endophytic, or cystic) and non-complex tumors (nonhilar, exophytic, or solid) and evaluate the effects of renal tumor complexity on outcomes in patients Robot undergoing RAPN.MethodsFour databases w

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