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PATSMA: Parameter Auto-tuning for Shared Memory Algorithms

by Fernandes, Joao B., Santos-da-Silva, Felipe H., Barros, Tiago, Assis, Italo A.S., Xavier-de-Souza, Samuel
Published in SoftwareX (01.09.2024)

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The Pythonic Way: An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing, and Management of Enterprise Python Code

by Raj, Sonal
Year of Publication 2021

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Thermal error compensation of a 5-axis machine tool using indigenous temperature sensors and CNC integrated Python code validated with a machined test piece

by Mareš, Martin, Horejš, Otakar, Havlík, Lukáš
Published in Precision engineering (01.11.2020)

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Switching function based on hypergraphs with algorithm and python programming

by Hamidi, Mohammad, Rahmati, Marzieh, Rezaei, Akbar
Published in Journal of intelligent & fuzzy systems (01.01.2020)

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ParamGULP: An efficient Python code for obtaining interatomic potential parameters for General Utility Lattice Program

by Dutra, José Diogo L., Bispo, Thiago D., de Freitas, Sabrina M., Rezende, Marcos V. dos S.
Published in Computer physics communications (01.08.2021)

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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

by Molak, Aleksander
Year of Publication 2023

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Anyone Can Code: The Art and Science of Logical Creativity

by Arya, Ali
Year of Publication 2021

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FDTool: a Python application to mine for functional dependencies and candidate keys in tabular data [version 2; peer review: 2 approved]

by Buranosky, Matt, Stellnberger, Elmar, Pfaff, Emily, Diaz-Sanchez, David, Ward-Caviness, Cavin
Published in F1000 research (2018)

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Fuzzy Logic, Neural Network, and Adaptive Neuro-Fuzzy Inference System in Delegation of Standard Concrete Beam Calculations

by Baghdadi, Abtin, Babovic, Neira, Kloft, Harald
Published in Buildings (Basel) (01.01.2024)

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Computer Architecture with Python and ARM: Learn How Computers Work, Program Your Own, and Explore Assembly Language on Raspberry Pi

by Clements, Alan
Year of Publication 2023

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Time Series Indexing: Implement iSAX in Python to index time series with confidence

by Tsoukalos, Mihalis
Year of Publication 2023

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Quantitative X-ray Map Analyser (Q-XRMA): A new GIS-based statistical approach to Mineral Image Analysis

by Ortolano, Gaetano, Visalli, Roberto, Godard, Gaston, Cirrincione, Rosolino
Published in Computers & geosciences (01.06.2018)

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NanoNET: an extendable Python framework for semi-empirical tight-binding models

by Klymenko, M V, Vaitkus, J A, Smith, J S, Cole, J H
Published in arXiv.org (15.10.2020)

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The Deep Learning with Keras Workshop: Learn How to Define and Train Neural Network Models with Just a Few Lines of Code

by Moocarme, Matthew, Abdolahnejad, Mahla, Bhagwat, Ritesh
Year of Publication 2020

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An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results

by Xavier-Júnior, João C., Freitas, Alex A., Ludermir, Teresa B., Feitosa-Neto, Antonino, Barreto, Cephas A.S.
Published in Theoretical computer science (18.01.2020)

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Testing of software projects based on function points through a machine-learning approach

by Kumar, Hemant, Saxena, Vipin
Published in International journal of advanced networking and applications (01.03.2025)

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Auto-Tuning for OpenMP Dynamic Scheduling applied to Full Waveform Inversion

by Santos-da-Silva, Felipe H., Fernandes, João B., Sardina, Idalmis M., Barros, Tiago, Xavier-de-Souza, Samuel, Assis, Italo A.S.
Published in Computers & geosciences (01.08.2025)

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DETERMINING TEACHING SCHEDULE AT STATE SENIOR HIGH SCHOOL 1 DEPOK USING ASSIGNMENT THEORY WITH HUNGARIAN METHOD AND NEW IMPROVED ONES ASSIGNMENT METHOD ASSISTED BY PYTHON

by Hindarto, Catherine Richelle, Sanjaya, Febi
Published in BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (01.07.2025)

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A State-of-the-Art Survey on Deep Learning Theory and Architectures

by Alom, Md Zahangir, Taha, Tarek M., Yakopcic, Chris, Westberg, Stefan, Sidike, Paheding, Nasrin, Mst Shamima, Hasan, Mahmudul, Van Essen, Brian C., Awwal, Abdul A. S., Asari, Vijayan K.
Published in Electronics (Basel) (05.03.2019)

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FDTool: a Python application to mine for functional dependencies and candidate keys in tabular data [version 1; peer review: 2 approved]

by Buranosky, Matt, Stellnberger, Elmar, Pfaff, Emily, Diaz-Sanchez, David, Ward-Caviness, Cavin
Published in F1000 research (01.01.2018)

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