φ-evo: A program to evolve phenotypic models of biological networks. by Adrien Henry, Mathieu Hemery, Paul François

“…We detail the program architecture based on C, Python 3, and a Jupyter interface for project configuration and network analysis. …”
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Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia by Demoze Wondimu Debero, Ephrem Girma Sinesilassie

“…A questionnaire survey is designed to collect data, and subsequently, the study was performed using the Python programming language for development and validation purposes with different libraries used. …”
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Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators by George A. Anastassiou, Seda Karateke, Metin Zontul

“…Moreover, our main motivation in this work is to compare the convergence results obtained by classical neural network (NN) operators and symmetric neural network (SNN) operators and try to convert them into numerical examples and graphs through computer programming language Python codes. As a result of this experimental study conducted under the regime of certain parameters, the convergence speed and results of SNN operators are superior to those of classical NN operators.…”
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BISGA: Recalculating the Entire Boolean-Valued Information System from Aggregates Using a Genetic Algorithm by Salman Ali, Muhammad Sadiq Khan, Habib Shah, Harish Garg, Abdullah Alsheddy

“…A Boolean-valued information system (BIS) is an application of a soft set in which the data are mapped in a binary form and used in making applications not limited to decision-making, medical diagnoses, game theory, and economics. …”
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Accounting ratios, stock prices, and COVID-19: a study in IBOV companies by Mateus Barreto Vieira da Silva, José Erasmo Silva

“…Furthermore, it promotes the use of multilevel regression to analyze sectors in the stock market, providing important insights for investors and stakeholders on the usefulness of profitability and liquidity information for decision-making.   …”
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Cybernetic model of the regional situation center by M.S. Graf, D.A. Liubchenko

“…The presented approach can be the basis for the creation of intelligent information systems for monitoring and decision-making in the energy sector.…”
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Short-term Price Prediction in Initial Public Offerings Using XGBoost: Bist Technology Sector Example by Ayse Merve Acılar, Gamze Şekeroğlu

“…Among these sectors, the decision was made to conduct the research in the technology sector, which experienced the highest number of initial public offerings in 2024. …”
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Developing a Multi-Portal Digital Library System: A Case Study of the new University of Florida Digital Collections by Todd Digby, Cliff Richmond, Dustin Durden, and Julio Munoz

“…As production processes changed, the system was modified to make improvements on the backend, but the public interface became dated and increasingly not mobile responsive. A decision was made to develop a new system, starting with decoupling the public interface from the production system. …”
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Taylor Series Interpolation-Based Direct Digital Frequency Synthesizer with High Memory Compression Ratio by Kalle I. Palomäki, Jari Nurmi

“…The amplitude values for each segment are calculated using the stored LUT values and the second-order Taylor series polynomial interpolation. A Python-based model was created to optimize the number of segments, and the resulting design was coded using register-transfer level VHDL. …”
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Generación y Recuperación de Información Contextualizada: Un Enfoque Avanzado Basado en RAG para el Procesamiento del Lenguaje Natural by Daniel Leonardo Gonzalez Torres, Ricardo Andres Santa Quintero

“…El estudio se fundamenta en ejemplos de implementación en Python, diagramas explicativos y una revisión crítica de las fuentes relevantes, ofreciendo una guía completa para investigadores y desarrolladores interesados en impulsar soluciones innovadoras basadas en RAG.…”
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Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement by António Ricardo Teixeira, José Vasconcelos Ferreira, Ana Luísa Ramos

“…This study highlights the value of BPM methodology in enhancing decision-critical processes and offers a model for adaptable, value-driven process improvements in complex organizational environments.…”
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Enhanced Fault Detection in Photovoltaic Panels Using CNN-Based Classification with PyQt5 Implementation by Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, Rachid Saadane

“…The model effectively identifies physical and electrical changes, such as dust and bird droppings, and is implemented using the PyQt5 Python tool to create a user-friendly interface that facilitates decision-making for users. …”
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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

“…The Bayesian Network-based SPQM can be a decision-making tool to quantify performance using unstructured data. …”
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Sentiment Analysis of the Issue of Eliminating the Independent Curriculum using the Naïve Bayes Classifier Algorithm by Ainul Haq Nurridha Warahmat Hidayat, Adhitia Erfina

“…The analysis is conducted using Python 3.12.3 in Google Colab with the Naïve Bayes Classifier algorithm. …”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“…Pakistan's varied terrain, which encompasses plains, hilly areas, and coastal regions, contributes to the country's notable variety in climate. …”
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Leveraging Generative AI for Modelling and Optimization of Maintenance Policies in Industrial Systems by Adolfo Crespo Márquez, Diego Pérez Oliver

“…Integrating generative AI with well-established maintenance policies and optimization criteria, this paper tries to demonstrate how AI-assisted tools can model maintenance scenarios dynamically, learning from predefined strategies and improving decision-making in real-time. Python-based simulations are employed to validate the approach, showcasing the benefits of using AI to enhance the flexibility and efficiency of maintenance policies. …”
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Method for Determining the Risk Profile of Investors Based on the Relationship of Two Stock Investing Problems by V. A. Gorelik, T. V. Zolotova

“…The conclusion is made about the possibilities of trust managers using this approach when making decisions on choosing the best portfolio.…”
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Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS by Polina Lemenkova

“…The methodology includes ML modules of GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, and ‘r.random’ with algorithms of supervised classification implemented from the Scikit-Learn libraries of Python. …”
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Desafíos y perspectivas en la atención al paciente con hombro doloroso después de un accidente cerebrovascular by Marcia Sandra Hernández Zayas, Jorge Bonzon Regalado, Roberto Sagaró Zamora, Arquímedes Montoya Pedrón

“…Se realizó una revisión de la literatura sobre el síndrome del hombro doloroso en el paciente sobreviviente al ictus y de las modalidades terapéuticas conservadoras fundamentalmente no farmacológicas para su rehabilitación. …”
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Integrating expert knowledge with machine learning for AI-based stroke identifications and treatment systems by Taddesse kassu Yimenu, Abebe Belay Adege, Sofonias Yitagesu Techan

“…Expert knowledge was encoded in Prolog, while machine learning models were implemented in Python to develop a hybrid expert system. Medical professionals evaluated the system, confirming its effectiveness as a decision-support tool for stroke diagnosis and treatment. …”
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