Treffer 161 - 180 von 6.422

161

FAULT DETECTION AND CATEGORIZATION USING AN ADVANCED MACHINE LEARNING TECHNIQUE FOR INDUSTRIAL ROTATIONAL MACHINERY.
Paikaray, Divya ; Rajendran, Naveen Kumar ; Singh, Vaishali ; et al.
Proceedings on Engineering Sciences; 2024, Vol. 6 Issue 1, p251-260, 10p

ROTATING machinery INDUSTRIAL equipment PYTHON programming langu... MACHINE learning ALGORITHMS DANDELIONS
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162

Practical Python Programming for IoT
Smart, Gary ; Smart, Gary ; Smart, Gary ; et al.

E-Ressource
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163

PIPS, an advanced platform for period detection in time series – I. Fourier-likelihood periodogram and application to RR Lyrae stars.
Murakami, Yukei S ; Jennings, Connor ; Hoffman, Andrew M ; et al.
Monthly Notices of the Royal Astronomical Society. Aug2022, Vol. 514 Issue 3, p4489-4505. 17p.

RR Lyrae stars TIME series analysis PYTHON programming langu... STATISTICAL significance
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164

Chapter 12 - Data handling using Python
In All About Bioinformatics 2023:267-288

Buch
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165

Basic Programming Training in Python for Junior High School Students at Al Fitrah Islamic Boarding School
Supian, Sudradjat ; Ahmad, Mohammad Fadhli ; subiyanto, subiyanto
International Journal of Research in Community Services; Vol 4, No 4 (2023); 170-173 ; 2746-3281 ; 2746-3273 ; 10.46336/ijrcs.v4i4

Basic Programming Python Junior High School Islamic Boarding School
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166

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.
Peng, Yun ; Hu, Ruida ; Wang, Ruoke ; et al.
ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

EMPIRICAL research PYTHON programming langu... PROGRAMMING languages ECOSYSTEMS BENCHMARKING (Management...
Konferenz
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167

Using MOOC to Learn the Python Programming Language
Sergii Sharov ; Serhii Tereshchuk ; Andriy Tereshchuk ; et al.
International Journal of Emerging Technologies in Learning (iJET), Vol 18, Iss 02 (2023)

programming skills Python MOOC online course Education
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168

A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls.
Marzullo, Thibault ; Dey, Sourav ; Long, Nicholas ; et al.
Journal of Building Performance Simulation; May2022, Vol. 15 Issue 3, p379-397, 19p

PYTHON programming langu... BUILDING performance REINFORCEMENT learning SUBSET selection KEY performance indicato... KALMAN filtering
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169

Python for Unified Research in Econometrics and Statistics.
Bilina, Roseline ; Lawford, Steve
Econometric Reviews. Sep/Oct2012, Vol. 31 Issue 5, p558-591. 34p. 1 Color Photograph, 17 Black and White Photographs, 2 Charts, 3 Graphs.

ECONOMETRICS OPEN source software C++ OBJECT-oriented programm... RAPID prototyping PYTHON programming langu...
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170

Python Programming Topics That Pose a Challenge for Students
Szydłowska, Justyna ; Miernik, Filip ; Ignasiak, Marzena Sylwia ; et al.

learning programming programming exercises gamified learning enviro... learning Python
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171

Enhancing Critical Path Problem in Neutrosophic Environment Using Python.
Pratyusha, M. Navya ; Kumar, Ranjan
Computer Modeling in Engineering & Sciences (CMES); 2024, Vol. 140 Issue 3, p2957-2976, 20p

PYTHON programming langu... NEUTROSOPHIC logic DYNAMIC programming PROBLEM solving PROJECT management
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172

The Secondary Development of ABAQUS by using Python and the Application of the Advanced GA
Luo, Lilong ; Zhao, Meiying
Physics Procedia. Dec2011, Vol. 22, p68-73. 6p.

Computer software Python programming langu... Genetic algorithms Probability theory Mutations (Algebra) Stochastic convergence
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173

Time-of-flight camera for advanced pick and place automation system
Fediukov, Vasilii

fi=Tieto- ja viestintäte... 43 Information Technolog... computer vision Python (programming lang... Degree Programme in Info... Internet of Things
Dissertation
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174

Case Study of Genetic Algorithms in Metrology: Assessment of Inter-laboratory Comparisons.
Coulon, Romain
EPJ Web of Conferences; 4/7/2025, Vol. 323, p1-5, 5p

GENETIC algorithms METROLOGY MONTE Carlo method ROBUST statistics PYTHON programming langu...
Konferenz
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175

AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods.
Abbas, Ather ; Boithias, Laurie ; Pachepsky, Yakov ; et al.
Geoscientific Model Development. 2022, Vol. 15 Issue 7, p3021-3039. 19p.

PYTHON programming langu... HYDROLOGIC models TIME series analysis TIME management MACHINE learning
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176

AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python.
Ramon-Cortes, Cristian ; Amela, Ramon ; Ejarque, Jorge ; et al.
International Journal of High Performance Computing Applications. Nov2020, Vol. 34 Issue 6, p659-675. 17p.

DISTRIBUTED computing PARALLEL programming PROGRAMMING languages ALGORITHMS PYTHON programming langu...
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177

PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data.
Xu, Jia ; Vaeggemose, Michael ; Schulte, Rolf F. ; et al.
Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 23, p2668, 17p

NUCLEAR magnetic resonan... PYTHON programming langu... MONTE Carlo method SIGNAL-to-noise ratio MACHINE learning
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178

Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo.
McGovern, Abigail S. ; Larsson, Pia ; Tarlac, Volga ; et al.
Platelets. 2024, Vol. 35 Issue 1, p1-10. 10p.

PYTHON programming langu... THROMBOTIC thrombocytope... IMAGE segmentation TRACKING algorithms DEEP learning
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179

Exploring Critical Path Solving Methods under Neutrosophic.
Pratyusha, M. Navya ; Kumar, Ranjan
International Journal of Neutrosophic Science (IJNS); 2025, Vol. 25 Issue 4, p357-370, 14p

CRITICAL path analysis NEUTROSOPHIC logic GENERALIZATION PYTHON programming langu... LINEAR programming
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180

Thermal analysis of unsteady viscous flow in medical engineering: A comparative analysis of numerical and semi-analytical methods.
Shateri, Amirali ; Mahboobtosi, Mehdi ; Ahmad, Irshad ; et al.
Modern Physics Letters B. 9/10/2025, Vol. 39 Issue 25, p1-23. 23p.

ORDINARY differential eq... MEDICAL equipment design SIMILARITY transformatio... DRUG delivery devices UNSTEADY flow
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