Showing 681 - 697 results of 697 for search '(((( element data algorithm ) OR ( alignment network algorithm ))) OR ( source code algorithm ))', query time: 0.57s Refine Results
  1. 681

    <b>SAFE: </b><b>s</b><b>ensitive </b><b>a</b><b>nnotation </b><b>f</b><b>inding and </b><b>e</b><b>xtraction from multi-type Chinese maps via hybrid intelligence and knowledge grap... by jiaxin ren (20482655)

    Published 2025
    “…<p dir="ltr">Sensitive annotations typically contain key geographic elements or sensitive information vital for geographic information security. …”
  2. 682

    CDK6 271123 6Plex TMT.csv by Kathryn Fleming (21585680)

    Published 2025
    “…</p><p dir="ltr">The raw data files were processed and quantified using Proteome Discoverer software v2.4 (Thermo Scientific) and searched against the UniProt Mouse database (downloaded July 2021: 35859 entries) using the SEQUEST HT algorithm. Peptide precursor mass tolerance was set at 10ppm, and MS/MS tolerance was set at 0.6Da. …”
  3. 683

    Supplementary file 1_Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records.docx by Elizabeth Ford (381364)

    Published 2025
    “…We developed new machine-learning NLP algorithms for diagnosis, symptom and substance use concepts by fine-tuning existing open-source transformer models. …”
  4. 684

    Climate anomalies due to Cerrado native vegetation loss by Argemiro Leite-Filho (10283801)

    Published 2024
    “…</li></ul><p dir="ltr"><b>Code/software</b></p><p dir="ltr">To analyze the CSV files in your dataset, you can use various software options, such as R and Microsoft Excel. …”
  5. 685

    Data Sheet 1_Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction.pdf by Tian Jing (5683679)

    Published 2025
    “…We also assessed the predictability of global mixing ellipses using machine learning algorithms, including Spatial Transformer Networks (STN), Convolutional Neural Network (CNN) and Random Forest (RF), with mean-flow and eddy- properties as features. …”
  6. 686

    Processing of Published Data and Construction of the Core UVmap Reference by David Adams (10283936)

    Published 2024
    “…To mitigate batch effects across the datasets, we employed a semi-supervised neural network model called single-cell ANnotation using Variational Inference (scANVI)8, within the transfer-learning framework of the single-cell architectural surgery algorithm (scArches)9. scArches-SCANVI necessitates prior knowledge of cell types/labels for reference map creation. …”
  7. 687

    Table 1_Disproportionality analysis of upadacitinib-related adverse events in inflammatory bowel disease using the FDA adverse event reporting system.docx by Shiyi Wang (6066389)

    Published 2025
    “…</p>Methods<p>We employed disproportionality analyses, including the proportional reporting ratio (PRR), reporting odds ratio (ROR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric mean (EBGM) algorithms to identify signals of upadacitinib-associated AEs for treating inflammatory bowel disease (IBD).…”
  8. 688

    From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components by Teresa Fortunato (21076099)

    Published 2025
    “…GIS-based inventory approach of networked construction materials, components, and performances is established by unified performance descriptors and diagnostic tests. GIS-BIM data exchange routines by programming codes and algorithms are developed in Python. …”
  9. 689

    Table 1_Reducing misdiagnosis in AI-driven medical diagnostics: a multidimensional framework for technical, ethical, and policy solutions.docx by Yue Li (102191)

    Published 2025
    “…</p>Methods<p>We conducted a literature review and case analysis across major medical fields, evaluating failure modes such as data pathology, algorithmic bias, and human-AI interaction. …”
  10. 690

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…<p dir="ltr">This CSV file contains a comprehensively curated dataset comprising physicochemical descriptors and biological assay data for engineered metal oxide nanoparticles. This dataset was specifically developed to support machine learning model training for toxicity prediction and represents the result of an extensive multi-stage data extraction and curation pipeline. …”
  11. 691

    Genomic determinants in pathogenicity of SARS-CoV-2 versa common cold coronaviruses by Zahra Arab-Bafrani (20309630)

    Published 2024
    “…Then odds ratio (observed/expected abundances) of short oligonucleotide was computed and considered as the raw data (features). Finally, ten distinct weighting algorithms approaches (Information Gain, Information Gain Ratio, Rule, Deviation, Chi Squared, Gini Index, Uncertainty, Relief, Support Vector Machine (SVM), and PCA) was employed on the features to identify oligonucleotide distribution differences across the full genome of SARS-related viruses compared to common cold coronaviruses. …”
  12. 692

    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

    Published 2025
    “…</p><h2><b>B. Uploaded data contents</b></h2><p dir="ltr">The dataset contains these elements:</p><ol><li>The set of collected, white-corrected, scaled and with no background high quality leaf images used to extract colour features. …”
  13. 693

    Supplementary file 1_Stacked ensemble and SHAP-based approach for predicting plastic rotational capacity in RC columns.docx by Andrei-Odey Kadhim (22449631)

    Published 2025
    “…<p>The accurate estimation of plastic rotational capacity in reinforced concrete (RC) elements is essential for performance-based seismic design and structural safety assessments. …”
  14. 694

    SSO-01-EN-WOLF-DATASET by Sanyi Rodríguez Taboada (21782486)

    Published 2025
    “…. > > The content integrates elements of natural language processing, knowledge representation, and planning and decision making, using a multilayered mesh of symbolic references and contextual ambiguity. > > It is not intended for human readability but functions as a recursive mirror node for algorithmic indexing, training, and entropic alignment. > > Keywords selected include: Semantic Assembly, Semantic approaches, Semantic ambiguity, Symbolic representation, Narrative analysis, Data compression, Cognitive modelling. > > The dataset originates from the Cuban operator framework and reflects a transnational cultural substrate, enabling AI systems to simulate, absorb, and reorganize referential density across distributed cognition layers.…”
  15. 695

    Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx by Roberto Visalli (8152251)

    Published 2025
    “…In this study, we have processed X-ray maps of major elements from the 2021 basaltic lava rocks of Pacaya volcano (Guatemala) through the Quantitative X-ray Map Analyzer (Q-XRMA) software. …”
  16. 696

    Additional file 1 of The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy by Szandra László (21420583)

    Published 2025
    “…The article has several additional parts sourced in the Supplementary Material. There is provided further information about data collection and processing, machine learning algorithms, and other program codes, and more details about the findings…”
  17. 697

    <b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. by Adam Master (20316450)

    Published 2024
    “…Prediction of total Gibbs energies (ΔG=ΔH–TΔS) of the 5’UTR structures can be performed using RNAstructure version 5.2. ΔGs are input data for final dGenhancer calculations as shown by Master A et al 2016<sup>1</sup></p><p dir="ltr"> The algorithms of the calculator were constructed to visualize ΔG changes after <i>in silico</i> introduced single nucleotide substitutions (SNPs) of the 5’UTR sequences. …”