Search alternatives:
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
time resource » situ resource (Expand Search), firm resource (Expand Search), optimize resource (Expand Search)
primary data » primary care (Expand Search)
binary time » binary image (Expand Search)
data model » data models (Expand Search)
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
time resource » situ resource (Expand Search), firm resource (Expand Search), optimize resource (Expand Search)
primary data » primary care (Expand Search)
binary time » binary image (Expand Search)
data model » data models (Expand Search)
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
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Features selected by optimization algorithms.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
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Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
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