The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...
Abstract: As the need for processing large amounts of data increases, power consumption and the complexity of semiconductor package patterns also rise, making thermal management crucial. Traditional ...
Abstract: Convolutional neural networks will be used in the proposed research project to create a plant disease detection system (CNNs). Object detection is used (Yolov5), so it is the model having ...
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