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Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems
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Modeling and forecast of gas hydrate distribution in the Black Sea: main principles and approaches
Published 2025-06-01“…The susceptibility inference process has revealed substantial knowledge gaps, as the uncertainty analysis identifies large seafloor regions with insufficient data or extremely low data density. The developed model could be applied for a better understanding of the vulnerability of areas, and to apply the methods of local predictions of gas hydrates. …”
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104
The Potential Distribution of Termitomyces spp. in China Based on MaxEnt Model Analysis
Published 2025-06-01“…To effectively predict the suitable growth areas and cultivation environments for Termitomyces spp., this study combines the MaxEnt model and ArcGIS software to systematically predict its potential distribution patterns under climate change. …”
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105
Assessing machine learning models to generate permafrost distribution map in Solukhumbu, Nepal
Published 2025-05-01“…Logistic Regression and Support Vector Machines were able to produce a similar spatial distribution of permafrost. However, the Random Forest has low precision of spatial variation. …”
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106
Assessing the stability of indoor farming systems using data outlier detection
Published 2025-03-01“…Residual distribution and curve fitting techniques were used to determine the best distribution model for the sensor data, with a log-normal distribution found to be the best fit.ResultsRegression analysis indicated a strong inverse relationship between cumulative Agr.Ops and residual z-scores, suggesting that increased Agr.Ops correlated with a higher presence of outliers and a decrease in system stability. …”
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107
A study on improved random forest-based anomaly detection of regional tariff data under distributed photovoltaic access
Published 2025-09-01“…To ensure the reliability of the measurement and calculation results for electric energy and electricity charges, it is necessary to accurately determine the anomalous data in the regional electricity pricing datasets and consequently propose an anomaly detection method for regional electricity price data based on an improved random forest algorithm under distributed photovoltaic access. …”
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108
Predicting the Distribution of Mesophotic Coral Ecosystems in the Chagos Archipelago
Published 2025-04-01“…In addition, we compared the MCEs predicted extent in the Archipelago for the models derived from high‐resolution multibeam and low‐resolution GEBCO bathymetry data. …”
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Architecture and challenges of system models for marine data transmission networks
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111
Effective k-nearest neighbor models for data classification enhancement
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112
The Impact of Photovoltaic Installations on Changes in Voltage Levels in the Low-Voltage Network
Published 2025-06-01“…The computational results derived from this simplified model demonstrate sufficient accuracy for practical applications, and the required input data is accessible to distribution system operators.…”
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113
Low population density settlement patterns on California's Northern Channel Islands
Published 2025-07-01“…We use a variant of the Ideal Free Distribution (IFD) with considerations for low population densities to model early settlement on Santa Rosa Island (SRI). …”
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Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study
Published 2025-07-01“…The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. …”
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Estimation of Arterial Path Flow Considering Flow Distribution Consistency: A Data-Driven Semi-Supervised Method
Published 2024-11-01“…To solve this problem, this paper develops a semi-supervised arterial path flow estimation method considering the consistency of path flow distribution by combining the sparse AVI data and the low permeability CV data. …”
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A Minimized Data Collection Optimization Method for Distribution Networks Considering Multiple-Time and Compressed Candidate Sets
Published 2023-12-01“…At present, the insufficient observability of distribution networks leads to the lack of energy management ability of medium and low voltage distribution networks under large-scale distributed power grid connection. …”
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Evaluating Distributed Snow Model Resolution and Meteorology Parameterizations Against Streamflow Observations: Finer Is Not Always Better
Published 2024-07-01“…This study investigated how the spatial distribution of simulated snow conditions varied across seven model spatial resolutions from 30 to 1,000 m and over two meteorological data sets, coarser (≈12 km) and finer (4 km). …”
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An Empirical Model of the Equatorial Electron Pitch Angle Distributions in Earth's Outer Radiation Belt
Published 2022-09-01“…Abstract In this study, we present an empirical model of the equatorial electron pitch angle distributions (PADs) in the outer radiation belt based on the full data set collected by the Magnetic Electron Ion Spectrometer (MagEIS) instrument onboard the Van Allen Probes in 2012–2019. …”
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Strength Distribution and Damage Constitutive Model of Frozen Sand under Rate-Dependent Evolution
Published 2022-01-01“…Based on the test data, the model parameters were calculated and the relationship between the strength distribution parameters, the strain rate, and the confining pressure was obtained. …”
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Label-Guided Data Augmentation for Chinese Named Entity Recognition
Published 2025-02-01“…Moreover, the reliance on English-centric fine-grained annotated datasets and the simplistic concatenation of label semantic embeddings with original samples limits their effectiveness, particularly in addressing class imbalances in low-resource scenarios. To address these issues, we propose a novel Chinese NER model, LGDA, which leverages Label-Guided Data Augmentation to mitigate entity label misalignment and sample distribution imbalances. …”
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