Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
pose detection » case detection (Expand Search), based detection (Expand Search), false detection (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
task driven » task derived (Expand Search), mapk driven (Expand Search), state driven (Expand Search)
data pose » data posted (Expand Search), data phase (Expand Search), data base (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
pose detection » case detection (Expand Search), based detection (Expand Search), false detection (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
task driven » task derived (Expand Search), mapk driven (Expand Search), state driven (Expand Search)
data pose » data posted (Expand Search), data phase (Expand Search), data base (Expand Search)
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DataSheet1_A novel dataset and deep learning object detection benchmark for grapevine pest surveillance.pdf
Published 2024“…<p>Flavescence dorée (FD) poses a significant threat to grapevine health, with the American grapevine leafhopper, Scaphoideus titanus, serving as the primary vector. …”
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Proposed model tuned hyperparameters.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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The workflow of the proposed model.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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ResNeXt101 training and results.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Proposed model specificity and DSC outcomes.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Accuracy comparison of proposed and other models.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Architecture of ConvNet.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Comparison of state-of-the-art method.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Proposed model sensitivity outcome.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Proposed ResNeXt101 operational flow.
Published 2024“…<div><p>Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat to human health. Early detection is crucial for successful treatment and improved patient outcomes. …”
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Thesis-RAMIS-Figs_Slides
Published 2024“…In the context of facies recovery using simulations, the task of optimal sampling is formalized and addressed using a maximum information extraction criterion. …”