بدائل البحث:
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
code encryption » image encryption (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
code encryption » image encryption (توسيع البحث)
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261
Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx
منشور في 2025"…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …"
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262
<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each...
منشور في 2025"…</li></ul><h3>(4) Folder: <b>maxRadiusBuffer</b></h3><p dir="ltr">This folder focuses on the code of a greedy algorithm that produces the largest nonoverlapping buffers for a given collection of points.…"
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263
Identification of ferroptosis-related LncRNAs as potential targets for improving immunotherapy in glioblastoma
منشور في 2025"…Differential gene expression analysis, univariate and multivariate Cox regression analyses and the least absolute shrinkage and selection operator (LASSO) regression algorithm were used to identify prognostic ferroptosis-related genes and establish a nomogram model of risk score. …"
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264
Classification of cell types in the leaf and the sepal.
منشور في 2025"…First, cellular shape features were computed from the segmented meshes in MorphoGraphX (A, D) to train a classification algorithm (Support Vector Machine [SVM] quadratic) and predict the stomata (blue) and the pavement (green) cell types (B, E). …"
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265
Equivalent Mutants Analysed via Deductive Verification
منشور في 2025"…</p><p dir="ltr">Most of the samples selected above lacked loops. We therefore added three search algorithms: BinarySearch, FindLast and FindMin.…"
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266
Figure 3 from Chromothripsis-Mediated Small Cell Lung Carcinoma
منشور في 2025"…<b>B,</b> CN log ratio plots from the FACETS algorithm displaying the distinctive oscillating CN states on chromosomes with chromothripsis. …"
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267
Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025
منشور في 2025"…</p><h2>3. VRE Siting Algorithm and Optimization</h2><p><br></p><p dir="ltr">The VRE siting model uses a cost-minimization optimization approach to select the most cost-efficient project sites to meet a projected energy mix target.…"
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268
Performance evaluation of SpaVGN on melanoma ST dataset.
منشور في 2025"…Performance comparison of five computational methods in tissue region segmentation. Color-coded regions correspond to different tissue domains. …"
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269
Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain
منشور في 2025"…However, the growing appeal of a “universal” algorithm has magnified the unknown impacts when used with non-human species. …"
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270
Image 1_Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis.tif
منشور في 2025"…We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. …"
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271
Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions”
منشور في 2025"…The structure search for the low-temperature phase was conducted using the generic evolutionary algorithm implemented in the USPEX code<sup>42–44</sup>. …"
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272
Table 1_Social media as a platform for resistance: examining the language of dissent in Indian society.docx
منشور في 2025"…Despite its impact, research on algorithmic biases, multimodal communication tools (like memes and hashtags), and linguistic strategies in digital activism remains limited.…"
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273
Supplementary file 1_Predicting first-time anaphylaxis in the elderly using stacked machine learning and population registers.docx
منشور في 2025"…After applying chi-squared-based feature selection, we trained multiple classification algorithms—including logistic regression, decision trees, random forests, XGBoost, and a stacking ensemble. …"
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274
IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems
منشور في 2025"…</p><h2>Data Structure</h2><p dir="ltr">The dataset is organized into four primary components:</p><ol><li><b>Road Network Data</b>: Topological representations including spatial geometry, functional classification, and connectivity information</li><li><b>Traffic Sensor Data</b>: Sensor metadata, locations, and measurements at both 5-minute and hourly resolutions</li><li><b>Precipitation Data</b>: Hourly meteorological information with spatial grid cell metadata</li><li><b>Derived Analytical Matrices</b>: Pre-computed structures for advanced spatial-temporal modelling and network analyses</li></ol><h2>File Formats</h2><ul><li><b>Tabular Data</b>: Apache Parquet format for optimal compression and fast query performance</li><li><b>Numerical Matrices</b>: NumPy NPZ format for efficient scientific computing</li><li><b>Total Size</b>: Approximately 2 GB uncompressed</li></ul><h2>Applications</h2><p dir="ltr">The IUTF dataset enables diverse analytical applications including:</p><ul><li><b>Traffic Flow Prediction</b>: Developing weather-aware traffic forecasting models</li><li><b>Infrastructure Planning</b>: Identifying vulnerable network components and prioritizing investments</li><li><b>Resilience Assessment</b>: Quantifying system recovery curves, robustness metrics, and adaptive capacity</li><li><b>Climate Adaptation</b>: Supporting evidence-based transportation planning under changing precipitation patterns</li><li><b>Emergency Management</b>: Improving response strategies for weather-related traffic disruptions</li></ul><h2>Methodology</h2><p dir="ltr">The dataset creation involved three main stages:</p><ol><li><b>Data Collection</b>: Sourcing traffic data from UTD19, road networks from OpenStreetMap, and precipitation data from ERA5 reanalysis</li><li><b>Spatio-Temporal Harmonization</b>: Comprehensive integration using novel algorithms for spatial alignment and temporal synchronization</li><li><b>Quality Assurance</b>: Rigorous validation and technical verification across all cities and data components</li></ol><h2>Code Availability</h2><p dir="ltr">Processing code is available at: https://github.com/viviRG2024/IUTDF_processing</p>…"
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275
Relational network prepared by the authoring team.
منشور في 2025"…Additionally, team members are interconnected with color-coded bands that denote functional clusters within the group. …"
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276
Neurodevelopmental enrichment of H3K27me1 within gene bodies.
منشور في 2025"…<b>(D)</b> Metagene heatmaps depicting H3K27me1 CUT&RUN data across protein-coding genes in the early versus late cerebellum. …"
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277
Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat...
منشور في 2024"…The Copernicus Global Land Monitoring Service’s Soil Water Index (SWI) satellite-based observations from 2015 to 2023 at 10,000 locations in Europe were used as the predictand (target parameter) to train an artificial intelligence (AI) model to predict soil wetness with XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms. The locations were selected as a representative set of points from the Land Use/Cover Area Frame Survey (LUCAS) sites, which helped evaluate the characteristics of distinct locations used in fitting to represent diverse landscapes across Europe. …"
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278
MCCN Case Study 2 - Spatial projection via modelled data
منشور في 2025"…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 2.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …"
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279
Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4
منشور في 2025"…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"
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280
Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf
منشور في 2025"…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"