PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

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Cost per Use in Power BI using Alma Analytics and a Dash of Python by Lydia Harlan, Kristin Buxton, and Gabriele Hayden

“…This paper presents a pipeline for using Alma, SUSHI, COUNTER5, Python, and Power BI to create a tool for data-driven decision making. …”
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instancespace: A Python package for insightful algorithm testing through Instance Space Analysis by Yusuf Berdan Güzel, Kushagra Khare, Nathan Harvey, Kian Dsouza, Dong Hyeog Jang, Junheng Chen, Cheng Ze Lam, Mario Andrés Muñoz

“…This paper introduces instancespace, a Python package that implements an automated pipeline for Instance Space Analysis. …”
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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…However, the utilization of Python-based time-series models for predicting oil palm yield remains limited. …”
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A Fundamental Statistics Self-Learning Method with Python Programming for Data Science Implementations by Prismahardi Aji Riyantoko, Nobuo Funabiki, Komang Candra Brata, Mustika Mentari, Aviolla Terza Damaliana, Dwi Arman Prasetya

“…The increasing demand for data-driven decision making to maintain the innovations and competitiveness of organizations highlights the need for data science educations across academia and industry. …”
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Python scripts for web scraping metadata from descriptions of the international scenario of research data repositories by Alexandre Ribas Semeler, Arthur Longoni Oliveira, Fabiana Andrade Pereira, Policarpo Matiquite

“…The third directory (env) contains the Python libraries required to run the scripts.  Potential for reuse: The research method applied to manipulate this dataset is based on automated re3data metadata extraction and network visualization; after the data collection and analysis process, it is possible to trigger a study based on the descriptions extracted from the Registry of Research Data Repositories (re3data), researchers can visualize the international scenario of research data repositories, verified by re3data, which allows ethical monitoring of the number of research data repositories that are registered in re3data, what are their areas, institutions, countries, the language of research data, the typology of repositories and deposited data, their themes, areas of knowledge, types of access, licenses and software used. …”
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A conversion tool for translating Python-based machine learning models to structured text codes by Yasmin Adriane de Paula Campos, Paulo Haron da Silva Pereira, Robson Aparecido Duarte, José Manuel Gonzalez Túbio Perez, Gustavo Pessin, Thomas Vargas Barsante Pinto

“…We present a converter software program that automatically translates Python-based machine learning algorithms into Structured Text codes. …”
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Standardization of Journal Title Information from Interlibrary Loan Data: A Customized Python Code Approach by Jennifer Ye Moon-Chung

“…This article introduces a solution utilizing customized Python code to standardize journal titles obtained from user-entered data. …”
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Foresight to 2035 in cold climate fruit trees: scenario alignment, Delphi method, and complement with Python libraries by Jhon Wilder Zartha-Sossa, Nolberto Gutiérrez Posada, Adriana María Zuluaga Monsalve, Liliana Valencia Grisales, Jhoan Sebastián Rodríguez Torres, Gina Lía Orozco Mendoza, Nelson Javier Escobar Mora, Juan Carlos Palacio Piedrahita, John Fredy Moreno Sarta, Julio González Candia

“…This study employs foresight methodologies to support strategic planning, prioritize innovations, and reduce uncertainty in decision-making within this agro-industrial chain. …”
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Integración de microservicios con Laravel, Python y Django para la enseñanza del procesamiento de datos by José de Jesús Solorzano Rangel, Mariana Carolyn Cruz-Mendoza, César Primero-Huerta

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Python-driven sensitivity analysis of geometric parameters: Evaluating the impact of geometric variations on environmental performance of large office in Boston by Zinat Javanmard, Consuelo Nava

“…This research conducted a quantitative analysis of the impacts of design decisions made in the early stages of the design process, specifically focusing on their environmental effects. …”
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IMPLEMENTASI TEORI NAIVE BAYES DALAM KLASIFIKASI CALON MAHASISWA BARU STMIK KHARISMA MAKASSAR by Irayori Loelianto, Moh. Sofyan S Thayf, Husni Angriani

“…However, the number of students registering is uncertain every year, although from 2016 to 2019 there has been an increase in the number of registrations. …”
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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…The application of ML in this context can greatly support clinical decision-making, leading to more informed and precise interventions.…”
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Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

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Data acquisition for digitisation in the paraffin candle production process by Giedrius Blažiūnas

“…With the use of support and assistance technologies, the data may be used for decision-making in future. …”
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Funciones, un algoritmo, BigQuery y la ausencia de frameworks by Pedro Cano

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Analyzing internet public sentiment of the novel coronavirus (2019-nCoV) base on Python crawler from Post Bar and its countermeasures by Hui GENG, Mao MA, Yong ZHANG, Xiao-Mei YIN, An-Ding XU, Jun LYU

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Python approach on fuzzy time series Arima (1, 1, 1) model to analyze original and predict results for online retail of fuel booking services by B. Mohamed Harif, Karthikeyan M, K. Perarasan

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Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

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Algorithmic Coverage Quantification and Visualization in Range-Free Sensor Networks by Maria S. Zakynthinaki, Ioannis S. Barbounakis, Emmanuel N. Antonidakis

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