Applying PageRank to Team Ranking in Single-Elimination Tournaments: Evidence from Taiwan’s High School Baseball by Yu-Chia Hsu, Wen-Jie Zhang

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An extension of the Spiegelhalter-Knill-Jones method for continuous covariates in clinical decision making by Bart K. M. Jacobs, Tafadzwa Maseko, Lutgarde Lynen, Aquiles Rodrigo Henriquez-Trujillo, Jozefien Buyze

Subjects: “…Prediction…”
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Systemizing and Transforming Preterm Oral Feeding Through Innovative Algorithms by Rena Rosenthal, Jean Chow, Erin Sundseth Ross, Rudaina Banihani, Natalie Antonacci, Karli Gavendo, Elizabeth Asztalos

“…To complement and support these algorithms, educational materials and a comprehensive documentation process were also created. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…Although some traditional algorithms have achieved some results in the process of dimensionality reduction, they also expose their respective defects. …”
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Estimation and Reduction of CO₂ Emissions From Fossil Fuel Power Plants in Bangladesh by Deepak Kumar Chowdhury, Nur Mohammad, Tanjim Mahmud, Md. Khaliluzzaman, Karl Andersson, Mohammad Shahadat Hossain

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Navigating Stakeholders Perspectives on Artificial Intelligence in Higher Education by Aleida Chavarria, Ramon Palau, Raúl Santiago

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A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

“…This article presents a comprehensive framework for evaluating ML algorithm efficiency by incorporating metrics, such as training time, prediction time, memory usage, and computational resource utilization. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…These algorithms analyze real-time data from sensors and IoT devices to predict energy demand, enabling dynamic load balancing and reducing waste. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…This study explores optimizing Artificial Neural Network (ANN) parameters using meta-heuristic algorithms instead of traditional gradient-based methods to predict residential electricity consumption across different seasons. …”
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Algorithms and Employment: A Review of AI’s Impact on the Labour Market by Maria Alexandra CRACIUN, Irina Carmen BĂLUȚ GABOROI

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Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals by Y. P. Aslamov, I. G. Davydov

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THE AVALANCHE EFFECT IN ENCRYPTION ALGORITHMS BASED ON THE DISCRETE CHAOTIC MAPS by K. S. Mulyarchik

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ALGORITHMS AND METHODS OF AUTOMATIC CONTROL OF LIGHTING SYSTEMS OPTICAL CHARACTERISTICS by V. I. Kornaga, O. S. Oliinyk, V. M. Sorokin, A. V. Rybalochka

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MODELING OF MANAGEMENT SYSTEM WITH INERTIAL FORCES COMPENSATION FUNCTIONING ALGORITHMS by A. V. Pashuk, M. K. Hadzhinov, O. A. Shvedova

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Financial engineering and the digital economy: The implementations of machine learning algorithms by Pingping Fu, Honghao Yang, Wenhao Qian, ELsiddig Idriss Mohamed, Wafa Ali J. Almohri, Huda M. Alshanbari

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Methodology for Model-Based Design of Mobile Robots Control Algorithms by М. М. Tatur, М. S. Ihnatsiuk, А. D. Konikov

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Weed detection on embedded systems using computer vision algorithms by D. Shadrin, S. Illarionova, R. Kasatov, M. Akimenkova, G. Rudensky, E. Erhan

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Designing Recolorization Algorithms to Help People with Color Vision Anomalies by V. V. Sinitsyna, A. M. Prudnik

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Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

“…Data sets were collected from published studies that feature nickel ore grade (Ni and Fe content) and reduction process (temperature, additives, reductant, etc.), while prediction models for Ni grade and recovery were formed from four types of regression algorithms. …”
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Predictive analytics in customer behavior: Anticipating trends and preferences by Hamed GhorbanTanhaei, Payam Boozary, Sogand Sheykhan, Maryam Rabiee, Farzam Rahmani, Iman Hosseini

“…In the current work, various machine learning algorithms such as Decision Tree (DT), Random Forest (RT), Logistic Regression (LR), Support Vector Machines (SVM), and gradient boosting are used to predict customer behavior. …”
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