Abstract: Deep Neural Networks (DNNs) have demonstrated remarkable effectiveness in remote sensing (RS) image processing. However, they remain vulnerable to adversarial examples, which are generated ...
Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the definition of HF and its antecedent stages have limited research, global ...
Implementation of the MCNN-14 model for fashion image classification, achieving 93.08% accuracy on Fashion-MNIST. Based on our paper “An Efficient Multiple Convolutional Neural Network Model (MCNN-14) ...
Soil bacteria make cocktails of molecules that synergistically inhibit the growth of microbial pathogens — suggesting a ...
Abstract: Pixel-wise classification in remote sensing identifies entities in large-scale satellite-based images at the pixel level. Few fully annotated large-scale datasets for pixel-wise ...
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