Strategic Deployment of a Single Mobile Weather Radar for the Enhancement of Meteorological Observation: A Coverage-Based Location Problem by Bikram Parajuli, Xin Feng

“…The proposed location problem is solved optimally using the geometric branch-and-bound algorithm and heuristically using swarm-based optimization algorithms. The implementation relies entirely on open-source Python packages, allowing the work to be verified, replicated, and expanded upon by the broader scientific community. …”
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A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools by Rifa Andriani Saputri, Asrianda Asrianda, Lidya Rosnita

“…The implementation resulted in a web-based application using Python and Flask, featuring an interactive interface and decision tree visualization. …”
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Demystifying User Needs in Wardrobe Furniture Design: A Network Analysis via Text Mining and DEMATEL-ANP Integration by Xinlian Li, Peijun Jia, Jinyang Xu

“…By applying Python technology, user evaluation data were extracted from mainstream e-commerce platforms, with high-frequency user demand keywords being identified and categorized into four key dimensions. …”
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Solving Volterra-Fredholm integral equations by non-polynomial spline function based on weighted residual methods by S.H. Salim, R.K. Saeed, K.H.F. Jwamer

“… In this paper, a method that utilizes a non-polynomial spline function based on the weighted residual technique to approximate solutions for linear Volterra-Fredholm integral equations is presented. The approach begins with the selection of a series of knots along the integration interval. …”
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HOLa: HoloLens Object Labeling by Schwimmbeck Michael, Khajarian Serouj, Holzapfel Konstantin, Schmidt Johannes, Remmele Stefanie

“…As segmentation foundation models like the Segment Anything Model (SAM) begin to emerge, zero-shot segmentation requires only minimal human participation obtaining high-quality object masks. …”
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Optimization of Material Flow and Product Allocation in Inter-Unit Operations: A Case Study of a Refrigerator Manufacturing Facility by Selman Karagoz, Yasin Karagoz

“…It is implemented in Python (3.11.5) using the Pyomo (6.7.3) package and the CBC solver (2.10.11), with sensitivity analysis performed on constraints and decision variables to evaluate robustness. …”
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Comparative Analysis of Text Mining Classification Algorithms for English and Indonesian Qur’an Translation by Rahmat Hidayat, Sekar Minati

“…Indonesian translation was processed by using the sastrawi package in Python to do the pre-processing and StringToWord Vector in WEKA with the TF-IDF method to implement the algorithms. …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…Gradient boosting employs an ensemble of decision trees, iteratively correcting errors to model complex data patterns. …”
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A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset by Yahya Asmar Zakur, Seyed Bagher Mirashrafi, Laith Rezouki Flaih

“…Using data mining techniques, enterprises can forecast future trends and make better business decisions.The Apriori algorithm has been introduced to calculate the association rules between objects; the primary goal of this algorithm is to establish an association rule between various things. …”
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Enhanced Construction Project Duration Estimation Using Artificial Neural Networks: Initial Design and Planning Stages by Heba Al-Attar, Ghaleb Sweis, Bashar Tarawneh, Waleed Abu-Khader, Leen Haddad, Rateb Sweis

“…Furthermore, the study refined the models to 43 parameters using a questionnaire-driven approach. …”
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Stochastic Models Applied to the Forecasting and Management of Residual Woody Forest Biomass: Approaches, Challenges, and Practical Applications by Leonel J. R. Nunes

“…Their application supports critical decisions in forest and energy operations planning. …”
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SOFTWARE FOR REGIONS OF INTEREST RETRIEVAL ON MEDICAL 3D IMAGES by G. G. Stromov, D. V. Ryzhkov, V. A. Fokin

“…We implemented storage system on Maria DB (an open-sourced fork of MySQL) with P/SQL extensions. Python 2.7 scripting was used for automatization of extract-transform-load operations. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…before acting-as an explicit decision layer in the code-optimization pipeline. Concretely, we devise a two-stage framework in which an LLM first diagnoses whether a code segment merits modification and proceeds with optimization only when necessary, otherwise returning the original snippet verbatim. …”
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BiGRU-CNN neural network applied to short-term electric load forecasting by Lucas Duarte Soares, Edgar Manuel Carreño Franco

“…This forecasting model can serve as a support tool related to decision-making by companies in the energy sector. …”
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Forecasting sports-related injuries using wearable devices and data analysis methods by Balnur Kenjayeva, Moldir Kizdarbekova, Mirambek Murzabekov

“…The findings have important implications for sports science, suggesting a paradigm shift towards more technologically integrated training regimes to optimize health outcomes and performance in athletic populations. …”
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Neutrosophic-Logistic Hybrid Model to Evaluate the Effectiveness of Penitentiary Policies and Their Impact on Criminal Recidivism in Ecuador by Ignacio Fernando Barcos Arias, Jennifer Angelina Almagro Triana, Ariana Michelle Mazacón Campoverde, Jason Jeampierre Guayaquil Cobo

“…It is concluded that the hybrid model allows integrating subjective perceptions with robust statistical analysis, providing a useful tool for decision-making in public policy. The findings support the need to redesign penitentiary strategies, focusing on social inclusion and effective rehabilitation to improve the safety and well-being of both inmates and Ecuadorian society…”
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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

“…It used different machine learning (ML) algorithms, random forest (RF), decision tree (DT), support vector machine (SVM), and K-nearest neighbors (KNNs) to analyze network traffic and binary classification or multiclass classification. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

“…Machine learning classifiers, including Decision Trees, K-Nearest Neighbors, Random Forest, Naïve Bayes, AdaBoost, Logistic Regression, and Support Vector Machines, were implemented using Weka simultaneously with neural network models with 1, 2, and 3 hidden layers, which were developed in Python within a Jupyter Notebook environment. …”
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Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability by Agate Jarmakovica

“…Healthcare data quality is a critical factor in clinical decision-making, diagnostic accuracy, and the overall efficacy of healthcare systems. …”
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Optimization method of investment package based on Markowitz portfolio theory by A. D. Baydalin

“…The model is built using the Python programming language and the necessary libraries. …”
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