Specificity of the operator’s activity performing the work with the forecasting tools of technologically and chronologically interconnected events in the system of continuous forec... by V. V. Savluchinskij

“…Creation of an automated continuous forecasting system based on tracking information flows requires the development of a number of algorithms and machine programs to build a model of the forecast object based on the obtained identification features, to optimize a branched technologically and chronologically interconnected network of hierarchically coordinated events with an example of the work of the operator performing the work with the prediction tool in the system continuous forecasting and tracking information E flows.…”
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POSSIBILITY OF APPLICATION OF SODIUM SILICATE IN MOULDING AND CORE SAND MIXTURES IN ART CASTING by S. S. Tkachenko, V. S. Krivitskiy, V. O. Yemelyanov, K V. Martynov

“…The possibilities of application of sodium silicate and phosphate binder for production of large forms and cores in machine-tool industry are considered in the article.…”
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Adaptability of the Cutter-Head of the Earth Pressure Balance (EPB) Shield Machine in Water-Rich Sandy and Cobble Strata: A Case Study by Chaodong Wan, Zhiyi Jin

“…The effect of increasing the central opening of the cutter-head is that large cobbles and boulders can be discharged through the central opening when they cannot be discharged through the opening near the original position of the cobbles and boulders. …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…Abstract Background Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. …”
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What We Didn’t Know a Recipe Could Be: Political Commentary, Machine Learning Models, and the Fluidity of Form in Nineteenth-Century Newspaper Recipes by Avery Blankenship

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Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine by Doddy Prayogo, Yudas Tadeus Teddy Susanto

“…The hybrid approach uses LS-SVM as a supervised-learning-based predictor to build an accurate input-output relationship of the dataset and SOS method to optimize the σ and γ parameters of the LS-SVM. …”
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Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases by Fengwei Yao, Ji Luo, Qian Zhou, Luhua Wang, Zhijun He

“…By integrating the MIMIC-IV database and machine learning algorithms, we developed an effective predictive model for HRS in liver cirrhosis patients, providing a robust tool for early clinical intervention.…”
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Predicting hotel booking cancellations to decrease uncertainty and increase revenue by Nuno Antonio, Ana de Almeida, Luis Nunes

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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…This makes it a valuable tool for health monitoring and damage detection of buildings, bridges, wind turbines, and stadiums. …”
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Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain. by Olga Sánchez, María del Mar Barbero-Barrera

“…Building monitoring systems deliver large volumes of information and advanced data analysis tools are available. …”
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Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer by Chuanhe Shen, Junzhe Wu

“…The empirical study demonstrates that the model exhibits superior prediction accuracy compared to traditional machine learning assessment models, thereby offering a novel and efficacious tool for corporate credit risk assessment.…”
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Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 by Leandro B. Díaz, Leandro B. Díaz, Leandro B. Díaz, Carla Gulizia, Carla Gulizia, Carla Gulizia, Shipra Jain, Shipra Jain, Gaby S. Langendijk, Hindumathi Palanisamy, Valentina Rabanal, Valentina Rabanal, Candice S. Charlton, Alima Dajuma, Felix K. Donkor, Temitope S. Egbebiyi, Temitope S. Egbebiyi, Ghafi Kondi Akara, Ghafi Kondi Akara, Amna Jrrar, Md Rezwan Siddiqui, Yassine Ait Brahim, Yassine Ait Brahim, Bapentire D. Angnuureng, Anna-Adriana Anschütz, Founi M. Awo, Founi M. Awo, Alejandro Builes-Jaramillo, Alison Cobb, Mohamadou A. Diallo, Mohamadou A. Diallo, Houda Er-Retby, Houda Er-Retby, Houda Er-Retby, Thierry C. Fotso-Nguemo, Benjamin Gwinneth, Masilin Gudoshava, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Inés M. Leyba, Inés M. Leyba, Redouane Lguensat, Redouane Lguensat, Roché Mahon, Shailendra K. Mandal, Lucia Mumo, Meshel Muzuva, Meshel Muzuva, Rodric M. Nonki, Juan A. Rivera, Juan A. Rivera, Alcade C. Segnon, Alcade C. Segnon, Laouali I. Tanimoune, Erlich-Honest E. I. Zauisomue, Gilbert Siame

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Application of Ultrasound Radiomics in Differentiating Benign from Malignant Breast Nodules in Women with Post-Silicone Breast Augmentation by Ling Hao, Yang Chen, Xuejiao Su, Buyun Ma

“…Regions of interest (ROIs) were manually delineated using 3D Slicer software, and radiomic features were extracted and selected using Python programming. Eight machine learning algorithms were applied to build predictive models, and their performance was assessed using sensitivity, specificity, area under the ROC curve (AUC), accuracy, Brier score, and log loss. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…Early selection of optimal components and the development of reliable machine learning (ML) models can significantly reduce the time and cost associated with extensive experimentation. …”
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Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support by Serhat Aydin, Mert Karabacak, Victoria Vlachos, Konstantinos Margetis

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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. Consequently, power distribution operators can determine the optimal number and location of circuit breakers, remote-controlled sectionalizers, and manual switches in large-scale systems without mathematical optimization algorithms. …”
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A Configuration Model for Hospital Design Support Systems by Zhuoran Jia, Pirouz Nourian, Peter Luscuere, Cor Wagenaar

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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. …”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…How should learners acknowledge the use of AI tools in homework and assessments to avoid accusations of plagiarism? …”
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Innovative Transformations of Science-Intensive Industries in the National Economy of Azerbaijan: from Engineering to a Developed ICT Sector by Samira Abasova

“…If until 1990 the science-intensive industries of Azerbaijan were oil engineering, machine tool building, shipbuilding, instrument making, electrical engineering, then since 2013 Azerbaijan has become a space power and science-intensive and high-tech industries have become telecommunications and the ICT sector. …”
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