Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data by Yuhua Zhong

“…To address this research gap, this study utilizes game data from the Chinese Basketball Association spanning the 2021–2024 seasons to develop predictive models. …”
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Multi-Objective Optimization Based on Kriging Surrogate Model and Genetic Algorithm for Stiffened Panel Collapse Assessment by João Paulo Silva Lima, Raí Lima Vieira, Elizaldo Domingues dos Santos, Luiz Alberto Oliveira Rocha, Liércio André Isoldi

“…The surrogate model’s hyperparameters were optimized using a Genetic Algorithm to achieve the best performance, and the trained framework can predict ultimate strength. …”
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Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Algorithm Development and Validation Study by Hannelore Strauven, Chunzhuo Wang, Hans Hallez, Vero Vanden Abeele, Bart Vanrumste

“…A total of 1416 features were selected and analyzed with an XGBoost algorithm. At last, the model was validated using leave one subject out cross-validation (LOSOCV). …”
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Turbofan Performance Estimation Using Neural Network Component Maps and Genetic Algorithm-Least Squares Solvers by Giuseppe Lombardo, Pierantonio Lo Greco, Ivano Benedetti

“…The resulting nonlinear system is solved by a combined genetic algorithm and least squares algorithm approach, instead of the standard Newton’s method. …”
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EPILEPSY ASSOCIATED WITH EPILEPTIC EYELID MYOCLONIA WITH OR WITHOUT ABSENCES by M. B. Mironov, M. Yu. Bobylova, M. O. Abramov, T. M. Krasilshchikova, A. N. Zavadenko, I. O. Shchederkina, А. S. Petrukhin

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THE USE OF PROJECT TECHNOLOGIES IN THE CONTEXT OF TRAINING FUTURE EDUCATORS FOR PROFESSIONAL ACTIVITY IN THE CONTEXT OF INCLUSIVE EDUCATION IN PRESCHOOL EDUCATION INSTITUTIONS by Л. Шевченко, М. Сорочан

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Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

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Economic Development of the Latin American Integration Association: Trends and Prospects by M. N. Tolmachev, E. V. Nikiforova, A. P. Tsypin

“…A set of these methods and algorithms made it possible to identify the patterns that have developed at the moment in the economies of the Latin American Integration Association countries, assess their positions regarding world leaders, and also build short-term development forecasts.Results. …”
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Adaptive Track Association Method Based on Automatic Feature Extraction by Zhaoyue Zhang, Guanting Dong, Chenghao Huang

“…Fuzzy mathematical techniques are subsequently applied to extract discriminative features from both definite association and nonassociation sets, followed by training a support vector machine (SVM) model. …”
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Novel Algorithm to Estimate Fat‐Free Muscle Volumes in Women Using the Urinary Deuterated‐Creatine Dilution Method by Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave‐Gassiot, Jane Cauley, Liang Shen, Eu‐Leong Yong

“…In the final model, D3Cr‐determined creatine pool size (β = 0.032, p < 0.001), body weight (β = 0.030, p < 0.001) and height (β = 4.336, p < 0.001) were independently associated with fat‐free muscle volumes and were incorporated into a new algorithm (D3CrHt‐Wt). …”
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Development and Validation of a Machine Learning Model for Early Prediction of Sepsis Onset in Hospital Inpatients from All Departments by Pierre-Elliott Thiboud, Quentin François, Cécile Faure, Gilles Chaufferin, Barthélémy Arribe, Nicolas Ettahar

“…We developed a machine learning algorithm, capable of detecting the early onset of sepsis in all hospital departments. …”
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Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma by Liam Burrows, Declan Sculthorpe, Hongrun Zhang, Obaid Rehman, Abhik Mukherjee, Ke Chen

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Le travail journalistique entre priorisation de l’information et réaction aux algorithmes de recommandation des réseaux sociaux by Mariame Tighanimine

“…In addition, other respondents are heads (of training) of journalism schools (Sciences Po, IPJ Dauphine, ESJ Lille) or belong to professional associations (Reporters Without Borders, Prenons la Une). …”
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Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation by Ruvini Sanjeewa, Ravi Iyer, Pragalathan Apputhurai, Nilmini Wickramasinghe, Denny Meyer

“…ObjectiveThis study aimed to produce an algorithm for the identification of empathy from these features, which could act as a training guide for counselors and conversational agents who need to transmit empathy in their vocals. …”
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RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement by Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin

“…Traditional segmentation algorithms fail to effectively handle complex texture backgrounds and diverse defect shapes in steel surface defect segmentation, resulting in insufficient segmentation accuracy (SA), slow speed, and false negatives. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…Following the identification of genes with superior performance, different classifiers were trained. Subsequently, the best algorithms for diagnostic and prognostic applications were selected. …”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

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Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form by Panagiotis Charatsaris, Maria Diamanti, Symeon Papavassiliou

“…The latter includes the global model&#x2019;s training accuracy and the users&#x2019; consumed energy and time during transmission. …”
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Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

“…Four main factors including air temperature, relative air humidity, average net radiation and vapor pressure deficit were chosen as the input variables, and the sap flow velocity was selected as the output variable, to train and examine the neural network model with Bayesian regularization algorithm and Levenberg-Marquardt algorithm. …”
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Tablet-based sensorimotor home-training system for amnestic mild cognitive impairments in the elderly: design of a randomised clinical trial by Robin Bekrater-Bodmann, Annette Löffler, Stefano Silvoni, Lutz Frölich, Lucrezia Hausner, Simon Desch, Dieter Kleinböhl, Herta Flor

“…Both trainings consist of an adaptive algorithm, and will last 3 months each. …”
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