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element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
data processing » image processing (Expand Search)
deep algorithm » new algorithm (Expand Search), best algorithm (Expand Search), em algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
develop deep » develop new (Expand Search), develop next (Expand Search), develop tree (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Energy consumption in the PPO process.
Published 2025“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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Running time in the PPO process.
Published 2025“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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Research progress on anomaly target detection algorithms for hyperspectral imagery
Published 2025“…In particular, because anomaly target detection does not require any prior information, it has become one of the key technologies and research hotspots in HSI processing and information extraction. Through systematic sorting and analysis, this paper summarizes the existing anomaly target detection algorithms in detail, and evaluates the key issues involved in HSI-ATD, future technological development directions (such as deep learning, multimodal, and real-time processing, etc), as well as the problems existing in the algorithms. …”
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Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4
Published 2025Subjects: “…Artificial Intelligence and Image Processing…”
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26
ZM deep convection code structure.
Published 2024“…It is of great significance for the development of deep convective parameterization schemes and their further generalization in climate models. …”
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27
Algorithm steps for house price prediction model.
Published 2025“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”
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Time-lapse microscopy movie from the mammalian DeepCell test set processed by Cell-TRACTR.
Published 2025Subjects: “…existing architectures developed…”
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Flow of data processing and preparation.
Published 2025“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”
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Reflection matrix microscopy data and CLASS algorithms
Published 2025“…The package contains detailed algorithm implementations, experimental and numerical data to promote the widespread adoption of RMM in various deep-tissue imaging applications (see detailed documentation for our tutorial paper: <a href="https://iopscience.iop.org/article/10.1088/2515-7647/adb7af" rel="noreferrer" target="_blank">Kang, S., Yoon, S. & Choi, W.…”
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Architecture of Optimized deep learning Networks.
Published 2025“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”
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Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)
Published 2025Subjects: “…Bioinformatic methods development…”
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Dual deconvolution algorithm: analysis code with experimental data
Published 2025“…The package includes comprehensive algorithm implementations and data to facilitate the broader adoption of dual-deconvolution in deep-tissue imaging applications.…”
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Pseudocode for bat-optimized deep learning model.
Published 2025“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”
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