Search alternatives:
process optimization » model optimization (Expand Search)
false detection » case detection (Expand Search), based detection (Expand Search), cancer detection (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
process optimization » model optimization (Expand Search)
false detection » case detection (Expand Search), based detection (Expand Search), cancer detection (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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MSE for ILSTM algorithm in binary classification.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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Joint Detection of Change Points in Multichannel Single-Molecule Measurements
Published 2021Subjects: -
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Proposed Algorithm.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”
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Detection and Analysis of Nodule in Mammographic images using false positive reduction Detection Technique
Published 2022“…<p>This article analyzes several methods for reducing false positive results in</p> <p>mammography mass detection. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”