Treffer 121 - 140 von 5.097

121

Rheological characterization of CuZr metallic glasses at the atomic scale.
Amigo, Nicolás
Journal of Molecular Modeling. Mar2025, Vol. 31 Issue 3, p1-8. 8p.

PYTHON programming langu... MOLECULAR dynamics COPPER YIELD stress HERSCHEL-Bulkley model
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122

ServiceX A Distributed, Caching, Columnar Data Delivery Service.
Doglioni, C. ; Kim, D. ; Stewart, G.A. ; et al.
EPJ Web of Conferences. 11/16/2020, Vol. 245, p1-6. 6p.

LARGE Hadron Collider METADATA PYTHON programming langu... DATA analysis WEB services
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123

A data-guided approach for the evaluation of zeolites for hydrogen storage with the aid of molecular simulations.
Manda, Timothy ; Barasa, Godfrey Okumu ; Louis, Hitler ; et al.
Journal of Molecular Modeling. Feb2024, Vol. 30 Issue 2, p1-14. 14p.

HYDROGEN storage MOLECULAR force constant... ZEOLITES MONTE Carlo method MOLECULAR dynamics PEARSON correlation (Sta...
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124

AI-driven Color-emotion Mapping and Mobile Art Therapy for Campus Mental Health: Model Development and Randomized Controlled Trial Framework
Tang, Chuandi ; Dai, Wenhao ; Wu, Lühan ; et al.
Asian Journal of Mathematics and Computer Research. 32(4):108-120

[MATH]Mathematics [math]
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125

ODUSSEAS: Upgraded version with new reference scale and parameter determinations for 82 planet-host M dwarf stars in SWEET-Cat.
Antoniadis-Karnavas, A. ; Sousa, S. G. ; Delgado-Mena, E. ; et al.
Astronomy & Astrophysics / Astronomie et Astrophysique. 9/26/2024, Vol. 690, p1-16. 16p.

DWARF stars STELLAR atmospheres ATMOSPHERIC temperature MACHINE learning COMPUTER software
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126

Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of Bight of Sofala, Mozambique
Lemenkova, Polina ; Paris-Lodron-Universität Salzburg = Paris-Lodron-University of Salzburg (PLUS)
Coasts. 4(1):127-149

Data analysis Machine learning Ensemble learning GRASS GIS Scikit-Learn Python
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127

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.
Álvarez-Fidalgo, David ; Ortin, Francisco
Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Transformer models Language models Source code Dispute resolution Python programming langu...
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128

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129

Analyzing academic performance of students using machine learning system.
Murugesan, Sankar ; Chithambaramani, Ramalingam ; Reddy, Bandi Sithamaheshwar ; et al.
AIP Conference Proceedings. 2025, Vol. 3175 Issue 1, p1-8. 8p.

SUPPORT vector machines INSTRUCTIONAL systems ACADEMIC achievement DECISION making NATURAL languages PYTHON programming langu...
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130

multipers: Multiparameter Persistence for Machine Learning
Loiseaux, David ; Schreiber, Hannah ; Understanding the Shape of Data (DATASHAPE) ; et al.
Journal of Open Source Software. 9(103):6773-6773

Topological Data Analysi... Multiparameter Persisten... Python [INFO]Computer Science [...
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131

Misconceptions about Galaxy debunked by the (French) Galaxy Community
Libouban, Romane ; Mercier, Eva ; Chaussepied, Thomas ; et al.
JOBIM 2024 - Journées Ouvertes Biologie Informatique Mathématiques. :1-28

TOULOUSE, France Galaxy misconceptions FAIR data analysis Workflow Manager Community
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132

A descriptive marker gene approach to single-cell pseudotime inference.
Campbell, Kieran R ; Yau, Christopher
Bioinformatics. Jan2019, Vol. 35 Issue 1, p28-35. 8p.

GENE expression DATA analysis ESTIMATION theory BAYESIAN analysis TRANSCRIPTOMES
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133

Evidential clustering for trajectory analysis
Classification automatique évidentielle pour l'analyse des trajectoires

Soubeiga, Armel ; Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS) ; Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne) ; et al.
Artificial Intelligence [cs.AI]. Université Clermont Auvergne; Simon Fraser university (Burnaby, Canada), 2025. English. ⟨NNT : 2025UCFA0032⟩

Belief functions Uncertainty and imprecis... Categorical and discrete... Multi-View relational cl... Evidential clustering Trajectory clustering
Dissertation
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134

Machine Learning for Neuroimaging with Scikit-Learn
Abraham, Alexandre ; Pedregosa, Fabian ; Eickenberg, Michael ; et al.
Frontiers in Neuroscience. :15-15

Python machine learning statistical learning neuroimaging scikit-learn [INFO.INFO-LG]Computer S...
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135

Hands-On Data Analysis with NumPy and pandas
Curtis Miller ; Curtis Miller ; Curtis Miller ; et al.
2018

E-Ressource
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136

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.
Duarte, Martha ; Salamanca, Mayra ; Gonzalez, Juan M. ; et al.
Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

FLORIDA MENTAL depression risk f... RISK assessment PREDICTION models SOCIAL determinants of h... RECEIVER operating chara...
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137

Simulation-based inference with neural posterior estimation applied to X-ray spectral fitting
Simulation-based inference with neural posterior estimation applied to X-ray spectral fitting: Demonstration of working principles down to the Poisson regime

Barret, Didier ; Dupourqué, Simon ; Institut de recherche en astrophysique et planétologie (IRAP) ; et al.
Astronomy & Astrophysics - A&A. 686:A133-A133

Methods: data analysis Methods: numerical Methods: statistical Techniques: spectroscopi... [PHYS.ASTR]Physics [phys... Astrophysics [astro-ph]
Zeitschrift
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138

Från chiffer till klartext? Temamodellering av statliga offentliga utredningar 1945-1989.
Snickars, Pelle
Scandia. 2022, Vol. 88 Issue 1, p40-66. 27p.

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139

Hands-On Data Analysis with NumPy and pandas
Curtis Miller ; Curtis Miller ; Curtis Miller ; et al.
2018

E-Ressource
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140

Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
Klein, John ; Albardan, Mahmoud ; Guedj, Benjamin ; et al.
ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩

Wurzburg, Germany classifers ensemble classifier ensemble Decentralized learning copulas machine learning
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