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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
multi algorithm » multiple algorithms (Expand Search), custom algorithm (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
develop » developed (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
multi algorithm » multiple algorithms (Expand Search), custom algorithm (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
develop » developed (Expand Search)
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Schematic diagram of the experimental algorithm.
Published 2025“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”
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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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Data processing for multi-sensor synchronization.
Published 2025“…</b> All processed sensor data for the day is combined into a single dataset, <b>viii.…”
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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. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. …”
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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. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. …”
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Reflection matrix microscopy data and CLASS algorithms
Published 2025“…<h3><b>Reflection matrix microscopy data and CLASS algorithms</b></h3><p dir="ltr">This software package includes essential algorithms for reflection matrix microscope (RMM) and the CLASS algorithm. …”
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Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State
Published 2025“…In this article, we provide a general framework for analyzing such multi-state data. We formulate the effects of potentially time-dependent covariates on the multi-state disease process through semiparametric proportional intensity models with random effects. …”