Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study by Eui Geum Oh, Sunyoung Oh, Seunghyeon Cho, Mir Moon

“…It is essential to plan the discharge care from the beginning of hospitalization to reduce the risk of readmission. …”
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Artificial intelligence in teaching programming to students of pedagogical university by I. A. Yashina

“…A questionnaire survey of students at the beginning and after the completion of the course was carried out.The results of the study. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…The study aimed to investigate contemporary models, methods, and tools used for analyzing complex social network structures, both on the basis of ready-made solutions in the form of services and software, as well as proprietary applications developed using the Python programming language. Such studies make it possible not only to predict the dynamics of social processes (changes in social attitudes), but also to identify trends in socioeconomic development by monitoring users’ opinions on important economic and social issues, both at the level of individual territorial entities (for example, districts, settlements of small towns, etc.) and wider regions.Methods. …”
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Data Visualization and Prediction Model Analysis by Hua Ziyi

“…This study not only enriches the application examples of data visualization, but also provides valuable reference for decision-making and predicting in data analysis.…”
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Quality Control Automation for Student Driven Digitization Workflows by Corinne Chatnik, James Gaskell

“…The application is written in Python and relies heavily on using Openpyxl libraries to check the metadata spreadsheet and compare metadata with the digitized files. …”
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Estimation and Forecasting of Nigeria’s Residential, Commercial, and Industrial Electricity Demands by Prosper O. Ugbehe, Ogheneruona E. Diemuodeke, Daniel O. Aikhuele, Kenneth E. Okedu, Gauri Kalnoor

“…With the forecasting results, decision-makers and policy-makers in Nigeria’s energy sector are armed with the right tool for effective and informed decision-making in electricity planning and management. …”
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Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League by Vaishnudebi Dutta, Subhomoy Haldar, Prabjot Kaur, Yuvraj Gajpal

“…We perform the analysis using Python language, a popular high-level programming language. …”
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Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery by Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, Viacheslav I. Adamchuk, Rami Albasha, Md Saifuzzaman, Maxime Leduc

“…Given that the models were fully trained and developed in Python (v. 3.10), they can be readily implemented in a decision support system and deliver near real-time estimations of alfalfa crop height for farmers throughout Canada.…”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…By using modern technologies such as Python, Pandas, NumPy, and Scikit-learn, the research demonstrated the ability to process and analyze large volumes of economic data with high precision. …”
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Fuzzy irrigation model in protected crop based on expert knowledge by Alain Godo Alonso, Dennis Villavicencio Quintero, Emilio C abrera Hernández, Ivan Santana Ching

“…The variables temperature, soil moisture and lighting are used for the model construction, which is coupled to an existing IoT technology in the various crops company "Valle del Yabú", serving as a support system for decision making. The prototype is created and simulated in MATLAB, then transferred to a Raspberry Pi 4 Model B, using the Python programming language. …”
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Pruning Bayesian networks for computationally tractable multi-model calibration by Nicolas Gratius, Mario Bergés, Burcu Akinci

“…Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. …”
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Real-Time Football Match Prediction Platform by An Zhongqi

“…This paper presents a Python-based platform for predicting football match outcomes by collecting and processing real-time data from the SofaScore website. …”
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Removal mechanism and damage evolution of SiCp/Al composites based on FEM-MD model considering 3D random polyhedral particles in orthogonal cutting by Ming Li, Qingguang Li, Xianchao Pan, Jiaqi Wang, Zixuan Wang, Shengzhi Xu, Yunguang Zhou, Lianjie Ma, Tianbiao Yu

“…Orthogonal cutting simulations systematically revealed three speed-dependent material removal regimes: 1) Low-speed (<200 mm/s) particle extraction inducing matrix tearing through interfacial debonding; 2) Medium-speed (200–400 mm/s) extrusion-dominated fragmentation generating angular debris; 3) High-speed (>400 mm/s) impact-induced comminution producing refined fragments that minimize surface damage. …”
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An explainable artificial intelligence model for predictive maintenance and spare parts optimization by Ufuk Dereci, Gülfem Tuzkaya

“…This study demonstrates that utilizing machine learning models in predictive maintenance is highly beneficial; however, the binary outcomes of these models can be misunderstood by decision-makers. Detailed explanations provided to decision-makers will directly impact maintenance decisions and improve spare part management.…”
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Applying for, Operating, and Renewing a Research Experience for Undergraduates Site Program in Computational Biology by Hong Qin

“…Our Interdisciplinary Computational Biology, iCompBio, REU site was a 10-week summer research program that included R and Python coding bootcamps at the beginning and short workshops on various topics interspersed throughout the program. …”
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YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

“…For this study, we used many AI-based libraries available in Python.…”
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Algorithm of fire detection for multi-sensor system by R. A. Bagutdinov, M. F. Stepanov

“…In addition to the software implementation in C, which NI Vision Assistant generates by default, the paper presents a Python implementation of the algorithm.Conclusion. …”
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The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks by Laura Quiroga-Sánchez, Germán A. Montoya, Carlos Lozano-Garzon

“…Our findings demonstrate that our proposal can effectively aid decision-making in implementing security measures in real-world situations. …”
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Multi-agent air combat simulation based on NetLogo by JIA Honggang, WANG Wei, CHENG Nan

“…The system not only supports expert algorithms but also integrates DDQN reinforcement learning algorithm via Python extensions, enabling intelligent agents to make maneuver and attack decisions. …”
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APPLICATION OF A MACHINE LEARNING MODEL FOR FORECASTING FREIGHT RATE IN ROAD TRANSPORT by Artur, Maria

“…The analysis was carried out with Python programming language and experiments were performed in Jupyter Notebook. …”
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