Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
binary prone » binary people (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
prone model » proper model (Expand Search), one model (Expand Search), role model (Expand Search)
based led » based 3d (Expand Search), based log (Expand Search), based l2 (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
binary prone » binary people (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
prone model » proper model (Expand Search), one model (Expand Search), role model (Expand Search)
based led » based 3d (Expand Search), based log (Expand Search), based l2 (Expand Search)
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1
Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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2
Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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3
A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…However, manual annotation proved inefficient and error-prone. To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”
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4
Classification baseline performance.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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5
Feature selection results.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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6
ANOVA test result.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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7
Summary of literature review.
Published 2025“…These findings highlight the potential of metaheuristic optimization techniques to improve the effectiveness of deep learning models in clinical diagnostics quantifiably. …”
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8
An Example of a WPT-MEC Network.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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9
Related Work Summary.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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10
Simulation parameters.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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11
Training losses for N = 10.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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12
Normalized computation rate for N = 10.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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13
Summary of Notations Used in this paper.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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14
Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”