Search alternatives:
process optimization » model optimization (Expand Search)
over optimization » other optimization (Expand Search), convex optimization (Expand Search), model optimization (Expand Search)
training process » learning process (Expand Search), training programs (Expand Search), making process (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
process optimization » model optimization (Expand Search)
over optimization » other optimization (Expand Search), convex optimization (Expand Search), model optimization (Expand Search)
training process » learning process (Expand Search), training programs (Expand Search), making process (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…</p><p dir="ltr">This automated pipeline achieved 94% accuracy and completed analysis in under 10 seconds—over 200 times faster than manual methods. The integration of heuristic optimization and machine learning significantly enhances both speed and precision in astrocyte data analysis. …”
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Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
Published 2025Subjects: -
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Published 2025“…This strategy </p><p dir="ltr">not only improves detection efficiency and accuracy but also supports early diagnosis and treatment planning, </p><p dir="ltr">leading to better patient outcomes. By leveraging the binary GWO algorithm to optimize the feature selection </p><p dir="ltr">process and CNNs for image classification, the proposed approach reduces computational costs while increasing </p><p dir="ltr">classification accuracy. …”
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
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CDF of task latency, approximated as the inverse of the achieved computation rate.
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