• Suche: Learning Python application development

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21

Efficient Edge-AI Application Deployment for FPGAs †.
Kalapothas, Stavros ; Flamis, Georgios ; Kitsos, Paris
Information. Jun2022, Vol. 13 Issue 6, p279. 12p.

Artificial neural networ... Artificial intelligence Machine learning Application-specific int... Field programmable gate... Microcontrollers …
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22

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23

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.
Krogulski, Piotr ; Rak, Tomasz
Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

HIGH performance computi... MACHINE learning CONTAINER design & const... PARALLEL programming ADAPTIVE computing syste... ANOMALY detection (Compu... …
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24

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms
Cuesta, Sebastián A. ; Moreno, Martín ; López, Romina A. ; et al.
Journal of Chemical Information and Modeling. 63(2):507-521

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25

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets
Zeng, Jinzhe ; Peng, Xingliang ; Zhuang, Yong-Bin ; et al.
Journal of Chemical Information and Modeling. 65(21):11497-11504

Report
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27

Machine learning for libraries with Python libraries: practical case in the Library of Congress of Chile.
Lorca González, Marcelo
South African Journal of Libraries & Information Science. 2024, Vol. 90 Issue 2, p1-7. 7p.

Artificial intelligence Machine learning Data libraries Library technical servic... K-means clustering
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28

A Low-Cost Arduino and Python Based Gas Sensing Setup: Bridging Theory and Practice in Educational Environments
Reivanth, Kanagaraj ; Priya, Arumugam ; Nataraj, Devaraj
Journal of Chemical Education. 101(12):5361-5368

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29

Cnerator: A Python application for the controlled stochastic generation of standard C source code
Francisco Ortin ; Javier Escalada
SoftwareX, Vol 15, Iss , Pp 100711- (2021)

Big code Mining software reposito... Machine learning C programming language Stochastic program gener... Python …
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30

Practical Machine Learning
Nyamawe, Ally S. ; Mjahidi, Mohamedi M. ; Nnko, Noe E. ; et al.

Ethics pre-processing data collection hyperparameter optimizat... data cleaning programming …
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31

Python for everyday life
Packt Publishing, production company. ; Sparpaglione, Claudio, author, speaker.

Video
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32

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33

Investigation of Object Detection and Identification at Different Lighting Conditions for Autonomous Vehicle Application.
Razak, N. Abdul ; Sabri, N. A. A. ; Johari, J. ; et al.
International Journal of Automotive & Mechanical Engineering; Sep2023, Vol. 20 Issue 3, p10649-10658, 10p

OBJECT recognition (Comp... DEEP learning OBJECT tracking (Compute... COMPUTER vision RASPBERRY Pi AUTONOMOUS vehicles …
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34

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications
Piotr Krogulski ; Tomasz Rak
Applied Sciences, Vol 15, Iss 13, p 7433 (2025)

Docker containers virtual container cluste... high-performance computi... Machine Learning Technology Engineering (General). C... …
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35

A dataset of the 2023 presidential election in Nigeria
Adenike Tosin Odegbile ; Olufemi Moses Oyelami
Data in Brief, Vol 57, Iss , Pp 110847- (2024)

Sentiment Analysis Deep Learning Python Twitter Computer applications to... R858-859.7 …
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36

Combining Building Block Process With Computational Thinking Improves Learning Outcomes of Python Programming With Peer Assessment.
Hsiao, Tsung-Chih ; Chuang, Ya-Hsueh ; Chang, Chien-Yun ; et al.
SAGE Open. Oct-Dec2023, Vol. 13 Issue 4, p1-15. 15p.

PYTHON programming langu... EDUCATIONAL outcomes TECHNICAL education INFORMATION technology DESCRIPTIVE statistics TEACHING methods
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37

Low-Code Internet of Things Application Development for Edge Analytics
Chaudhary, Hafiz ; Guevara, Ivan ; John, Jobish ; et al.
5th IFIP International Internet of Things Conference (IFIPIoT). :293-312

Amsterdam, Netherlands Low code Model driven development Edge analytics [INFO]Computer Science [...
Konferenz
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39

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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40

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