Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction by Mansi Gupta, Kumar Rajnish, Vandana Bhattacharjee

“…We prepared our data sets using GCN output and then built Deep Neural Network Defect Prediction (DNN-DP) and Convolutional Neural Network Defect Prediction (CNN-DP) models to predict software defects. The Python programming language is used, along with Keras and TensorFlow. …”
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Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France by Mohammed Ifkirne, Houssam El Bouhi, Siham Acharki, Quoc Bao Pham, Abdelouahed Farah, Nguyen Thi Thuy Linh

“…The spatial database was generated using ArcGIS and QGIS software; the AHP was computed using Excel; and several treatments, such as raster data categorization and weighted overlay, were automated using the Python programming language. The regions identified for wind turbines installation are defined by a total of 962,612 pixels, which cover a total of 651 km² and represent around 6.98% of the research area. …”
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Making an executable paper with the Python in Heliophysics Community to foster open science and improve reproducibility by Shawn Polson, Rebecca Ringuette, Rebecca Ringuette, Lutz Rastaetter, Eric Grimes, Jonathan Niehof, Nicholas A. Murphy, Yihua Zheng

“…Most of the authors are members of the Python in Heliophysics Community (PyHC), an international, multi-organizational community that serves as a knowledge base for performing Heliophysics research in the Python programming language. PyHC promotes the executable paper format as a supplemental tool to improve the reproducibility of publications and support open science. …”
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APPLICATION OF BIG DATA TECHNOLOGIES TO ASSESS THE NATURAL MOISTURE OF THE TERRITORY by Anna I. Pavlova

“…With the help of the high-level Python programming language and engineering libraries, a comprehensive assessment of the territory was carried out using the example of Mirny of the Kochenevsky District of the Novosibirsk Region in the context of long-term average data and two years 2019 and 2020. …”
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Prediction of Discharge Using Artificial Neural Network and IHACRES Models Due to Climate Change by Maryam Hafezparast, Seiran Marabi

“…The neural network model is written and implemented using Scikit-Learn library and the Python programming language. The comparison of performance of ANN models with different input variables like monthly precipitation, monthly precipitation of previous months, monthly discharge, monthly discharge of previous months, monthly temperature was made to find the best and most efficient network structure. …”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…To create the models, the Jupyter Notebook software tool, which supports the Python programming language, was used. To implement machine-learning methods, data from stock quotes of the Moscow Exchange are used.Results. …”
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Establishment of cancer/testis antigen profiling based on clinicopathological characteristics in resected pathological stage III non-small cell lung cancer by Jin S, Cao S, Grigorev A, Li J, Meng Q, Wang C, Feng M, Hu J, Jiang F, Yu Y

“…Hierarchical clustering and python programming language analyses was used to demonstrate CTA expression and coverage. …”
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An artificial neural network for analysis of ionograms obtained by ionosonde at the Ukrainian Antarctic Akademik Vernadsky station by O. Bogomaz, M. Shulha, D. Kotov, A. Koloskov, A. Zalizovski

“…Software developed was written in Python programming language with use of the Keras library. Examples of data used for training of the artificial neural network are shown. …”
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Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study by Chad A Melton, Brianna M White, Robert L Davis, Robert A Bednarczyk, Arash Shaban-Nejad

“…Text sentiment for each social media platform was then classified with our fine-tuned model using Python programming language and the Hugging Face sentiment analysis pipeline. …”
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Analysis of a Double-stage Encryption Scheme Using Hybrid Cryptography to Enhance Data Security in Cloud Computing Systems by Moses Kazeem Abiodun, Agbotiname Lucky Imoize, Joseph Bamidele Awotunde, Cheng-Chi Lee, Abidemi Emmanuel Adeniyi, Ugbaja Chioma, Chun-Ta Li

“…The hash function is used for extra key security, and Python programming language was used to implement the system, and for cloud storage, MongoDB was used. …”
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tableone: An open source Python package for producing summary statistics for research papers by Pollard, Tom Joseph, Johnson, Alistair Edward William, Raffa, Jesse D, Mark, Roger G

“…First, we seek to provide a simple, reproducible methodfor providing summary statistics for research papers in the Python programming language. Second, we seek touse the package to improve the quality of summary statistics reported in research papers.Materials and Methods:Thetableonepackage is developed following good practice guidelines for scientificcomputing and all code is made available under a permissive MIT License. …”
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Integrated fuel performance and thermal-hydraulic sub-channel models for analysis of sodium fast reactors by Fricano, Joseph William

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Quantitative assessment of sound characteristics using the affinity (A), mean affinity (MA), brightness (S), mean contrast (MC), harmonicity (H) and monotony (M) of Gamelan timbre by Hamdan, Sinin, Sinin, Aaliyawani Ezzerin, Mohamad Said, Khairul Anwar, Abdullah, Johari

“…These descriptors are calculated from the Fast Fourier Transform (FFT) spectra using the Python Programming Language. Frequency spectrum characteristics are obtained for each sound from the Peking Gamelan using PicoScope oscilloscopes to investigate the fundamental and overtone frequencies. …”
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Analysis Of Human Detection Method In Social Distancing Monitoring by Nur Aina Syafinaz, Muhamad Atfan

“…Google Colaboratory is used as a programming platform with the use of Python programming language. The custom datasets are being labeled first using Labelimg software before going through the training process. …”
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A Python framework for efficient use of pre-computed Green's functions in seismological and other physical forward and inverse source problems by S. Heimann, H. Vasyura-Bathke, H. Vasyura-Bathke, H. Sudhaus, M. P. Isken, M. P. Isken, M. Kriegerowski, M. Kriegerowski, A. Steinberg, T. Dahm, T. Dahm

“…The Pyrocko-GF toolkit comes with a well-documented application programming interface (API) for the Python programming language to efficiently facilitate forward modelling of geophysical processes, e.g. synthetic waveforms or static displacements for a wide range of source models.…”
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Hide ‘n seek: individual behavioural responses of cattle excreting different amounts of nematode eggs—potential threshold for pasture contamination assessment by Oleksiy Guzhva, Anna Hessle, Niclas Högberg, Lena Lidfors, Johan Höglund

“…The new threshold metric (IPC) was proposed for individuals with different faecal egg count (FEC) levels [NO (no contribution) <20 EPG, LO (low contribution) = 20–150 EPG, ME (medium contribution) = 150–250 EPG, and HI (high contribution) ≥250 EPG] The effects of IPC on activity patterns were analysed stepwise using a Generalised Estimating Equations model implemented in Python programming language. Results showed significant effects of different IPC values on motion index and number of steps taken (adjusted p-value of 0.008, 0.018, 0.041, and 0.001 for individuals with NO, LO, ME, and HI IPC values, respectively). …”
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Bibliometric Analysis and Topic Modeling of Information Systems in Maternal Health Publications by Nadia Motamedi, Javad Ghazimirsaeid, Fatemeh Sheikhshoaei, Mohammad Javad Mansourzadeh, Hossein Dehdarirad

“…In addition to bibliometric analysis, the related topic modelling was calculated with Non-Matrix Factorization (NMF) algorithm in Python programming language. Overall, 1140 original articles were published in the selected field in the WoS database within the years 1991-2021. …”
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Analisis Perbandingan Fungsi Kernel dalam Perhitungan Economic Capital untuk Risiko Operasional Menggunakan Bahasa Pemrograman Python by Erwan Setiawan, Ramdhan F Suwarman

“…Calculation of the value of economic capital is done through computational simulations based on the python programming language. The results showed that there were significant differences in the value of economic capital generated. …”
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Pemodelan dan simulasi kinematika robot swerve 4 roda by Indrazno Siradjuddin, Sapto Wibowo, Arta Ainur Rofiq

“…The test scenario was carried out to validate the performance of the control algorithm offered by simulation, which was assisted by the python programming language. The simulation results show that the robot can move from its initial position to its destination position, both on static and dynamic targets. …”
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Projeto Novos Rumos 4.0: pedagogia crítica, metodologias ativas e desenvolvimento humano no ensino de programação básica / Projeto Novos 4.0 project: critical pedagogy, active meth... by Kristian Sgorla, Jônios Costa Máximo, Karina Zavilenski Custódio

“…The initiative trained young people in a situation of social vulnerability to develop software using the Python programming language, through training focused on human, critical and technical development. …”
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