Treffer 1 - 20 von 20.070

1

CoFmuPy: A Python Framework for Rapid Prototyping of FMI-based Digital Twins
Friedrich, Corentin ; Lombana, Andrés ; Fasquel, Jérôme ; et al.
The 2nd International Conference on Engineering Digital Twins, Oct 2025, Grand Rapids, Michigan, USA, United States

Grand Rapids, Michigan,... Master Synchronization Prototyping Machine Learning Artificial Intelligence
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2

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3

MLPro 2.0 - Online machine learning in Python
Arend, Detlef ; Baheti, Laxmikant Shrikant ; Yuwono, Steve ; et al.
In Machine Learning with Applications September 2025 21

Fachzeitschrift
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4

PSSR2: a user-friendly Python package for democratizing deep learning-based point-scanning super-resolution microscopy
Stites, Hayden C ; Manor, Uri
BMC Methods. 2(1)

Information and Computin... Communications Engineeri... Engineering Computer Vision and Mult... Bioengineering Networking and Informati...
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5

A python-based framework for land cover classification in engineering geology: A comparative assessment of SVM, K-means, and spectral indices
Mehdi Talkhablou ; Mahdi Farmahinifarahani ; Saba Siahmansouri
علوم زمین خوارزمی, Vol 11, Iss 1, Pp 201-219 (2025)

mass movements k-means clustering support vector machine (... spectral indices machine learning pca
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6

The raise of machine learning hyperparameter constraints in Python code
Rak-Amnouykit, Ingkarat ; Milanova, Ana ; Baudart, Guillaume ; et al.
ISSTA 2022 - 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Jul 2022, Virtual, South Korea. ⟨10.1145/3533767.3534400⟩

Virtual, South Korea interprocedural analysis machine learning librari... Python [INFO.INFO-PL]Computer S... Programming Languages [c...
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7

Evaluating the Performance of Python-Based Machine Learning in Earthquake-Resistant Building Design
Sameh Fuqaha ; Guntur Nugroho
Rekayasa Sipil, Vol 19, Iss 2, Pp 210-218 (2025)

earthquake-resistant des... python sap2000 structural analysis Engineering (General). C... TA1-2040
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8

PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
Guo, Zizheng ; Wang, Haojie ; He, Jun ; et al.
In Environmental Modelling and Software March 2025 186

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9

Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints
Rak‐amnouykit, Ingkarat ; Milanova, Ana ; Baudart, Guillaume ; et al.
Software: Practice and Experience. 54(3):363-393

Interprocedural analysis Machine learning librari... Python [INFO.INFO-SE]Computer S... Software Engineering [cs...
Zeitschrift
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10

Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction
Yuhao Ang ; Helmi Zulhaidi Mohd Shafri ; Yang Ping Lee ; et al.
Applications of Modelling and Simulation, Vol 9, Pp 315-323 (2025)

arima facebook prophet neural prophet oil palm time-series analysis yield prediction
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11

Python-based deep learning for optimizing thermal performance of Prandtl-Eyring hybrid nanofluids in solar systems
Nidhal Ben Khedher ; Bouthaina Dammak ; Zahoor Shah ; et al.
Case Studies in Thermal Engineering, Vol 73, Iss , Pp 106717- (2025)

Hybrid nanofluids Artificial intelligence Deep learning Neural networks Solar energy application... Magnetohydrodynamics
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14

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15

MLCatchUp: Automated Update of Deprecated Machine-Learning APIs in Python
Haryono, Stefanus, A ; Thung, Ferdian ; Lo, David ; et al.
ICSME 2021 - 37th IEEE International Conference on Software Maintenance and Evolution, Sep 2021, Luxembourg City / Virtual, Luxembourg. ⟨10.1109/ICSME52107.2021.00061⟩

Luxembourg City / Virtua... Program Transformation Automatic Update Deprecated API Python [INFO.INFO-SE]Computer S...
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17

Statistics and Machine Learning in Python
Duchesnay, Edouard ; Lofstedt, Tommy ; Younes, Feki ; et al.
Engineering school. France. 2025

Scikit-learn Machine Learning Python Statistics Statsmodels Pytorch
Buch
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18

JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks
Wang, Yiran ; López, José Antonio Hernández ; Nilsson, Ulf ; et al.

Software Engineering
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19

Analysing Python Machine Learning Notebooks with Moose
Mignard, Marius ; Costiou, Steven ; Anquetil, Nicolas ; et al.

Software Engineering Machine Learning
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20

Who Wins the Race? (R Vs Python) - An Exploratory Study on Energy Consumption of Machine Learning Algorithms
Chattaraj, Rajrupa ; Chimalakonda, Sridhar ; Sharma, Vibhu Saujanya ; et al.

Software Engineering Machine Learning Performance Programming Languages
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