Chorèmes et graphes by Sylvie Lardon, Mathieu Capitaine

“…A particular matter was graphic modeling with choremes borrowed from geography. Computer engineers formalized the knowledge thus obtained into graphs, as a way to memorize case studies and make their use easier for dealing with new cases: that is identifying and interpreting spatial structures. …”
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Study on the influence mechanism and correlation model of rockfall parameters on indentation morphology by LI Hao, WANG Dong-po, YAN Shuai-xing, LI Wei, CHEN Hui, HE Si-ming

“…Among the various engineering measures designed to mitigate the risk of rockfalls, the shed - tunnel structure is one of the most essential countermeasures. …”
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Estimated ultimate recovery prediction of shale gas wells based on stacked integrated learning algorithm by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Wendi Zhou, Qiong Li

“…The method employs Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) as base learners, with Logistic Regression (LR) as the meta-learner. Furthermore, the model is optimized using the Tree-structured Parzen Estimator (TPE) algorithm. …”
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Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles by Jialiang Zhang, Jianxiang Zhang, Zhou Chen, Jingsong Wang, Cunqun Fan, Yan Guo

“…Experimental validation against COSMIC-2 radio occultation observations in 2019 demonstrates the model’s capability to capture ionospheric vertical structures, with a prediction performance significantly outperforming the International Reference Ionosphere model IRI-2020: root mean square error (RMSE) decreased by 34.16%, and the coefficient of determination (R²) increased by 28.45%. …”
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LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods by Luis de-Marcos, Adrian Dominguez-Diaz

“…Topic modeling is a critical tool for understanding the thematic structures of unstructured text data, particularly in specialized domains like the dark web. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

“…Methods:: This study explores the application of machine learning techniques for predicting heart attack risk using structured clinical data. A range of classification models — Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT) — were selected based on their proven effectiveness in prior healthcare prediction studies and their balance between accuracy and interpretability. …”
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A Deep Learning Model for Stroke Patients’ Motor Function Prediction by Abeer Abdulaziz AlArfaj, Hanan A. Hosni Mahmoud, Alaaeldin M. Hafez

“…This research utilizes several neural structures to interpret the electroencephalogram images (EEG) of brain-injured cases to plan operative imagery-computerized interface models for controlling left and right hand movements. …”
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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…The increasing complexity and volume of financial and behavioral data in modern credit scoring and risk assessment present significant challenges to traditional modeling methods. Existing approaches often struggle with integrating structured numerical records and unstructured user behavior signals, limiting their ability to capture meaningful temporal and non-linear patterns. …”
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Legal text summarization via judicial syllogism with large language models by Yumei Song, Yongbin Qin, Ruizhang Huang, Yanping Chen, Chuan Lin

“…This structured reasoning is operationalized through carefully designed prompt engineering and fine-tuning techniques, enabling the model to reason step-by-step like a human judge. …”
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Cognitive phantoms in large language models through the lens of latent variables by Sanne Peereboom, Inga Schwabe, Bennett Kleinberg

“…Typical procedures rarely acknowledge the validity problem in LLMs, comparing and interpreting average LLM scores. This study investigates this problem by comparing latent structures of personality between humans and three LLMs using two validated personality questionnaires. …”
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Weak signals of disruptive innovations in traditional business models of academic education by Janusz Bąk, Grzegorz Baran

“…Phenomena and changes in the education sector, such as changes in structures, relationships, and processes, new ideas, technologies, or changes in needs, preferences, and attitudes towards the existing educational offer, will be analyzed and interpreted. …”
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Psycho-Theological Learning Model to Improve Mental Resilience in Muslim Adolescents by Muhammad Zamzam, Winsidi Winsidi

“…To ensure data richness, the study employed triangulated collection methods including in-depth semi-structured interviews, participatory classroom observations, and document analysis comprising lesson plans, student portfolios, and reflective teacher notes. …”
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Healthcare organizations in crisis context: decision-making models and roles of CEOs by Anna Romiti, Mario Del Vecchio, Caterina Cavicchi, Emidia Vagnoni

“…The literature presents different decision-making models that have not yet been thoroughly tested in practice. …”
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Providing a General Model for the Successful Implementation of Digital Transformation in Organizations by Haidar Ahmadi, Najme Parsaei, Seyyed Hamed Hashemi, Hamidreza Nematollahi

“…Data collection was primarily conducted through semi-structured interviews with 15 individuals until theoretical saturation was achieved. …”
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General Chart of Accounts and its Improvement by Vasilii Vasil’evich Shcherbatyuk

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Papel de la modelación matemática en la formación de los ingenieros // Role of mathematical modeling in the training of engineers by María Lucía Brito-Vallina, Isidro Alemán-Romero, Elena Fraga-Guerra, José Luís Para-García, Ruth Irene Arias-de Tapia

“…<br />This paper aims to propose a methodological strategy that enables systemic structure so developing the ability<br />model, taking into account the classification of the major mathematical models for engineering, according to the<br />theory or technique used in its preparation, the nature of the processes that develop, their mathematical structure<br />and others, not forgetting of course the professional profile these races and the main categories of educational<br />teaching process.…”
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A probabilistic approach for multiaxial fatigue criteria by M. Muñiz Calvente, S. Blasón, A. Fernández Canteli, A. de Jesús, J. Correia

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Towards Cleaner Cities: Estimating Vehicle-Induced PM_2.5 with Hybrid EBM-CMA-ES Modeling by Saleh Alotaibi, Hamad Almujibah, Khalaf Alla Adam Mohamed, Adil A. M. Elhassan, Badr T. Alsulami, Abdullah Alsaluli, Afaq Khattak

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Mastering by Students of the Secondary Vocational Education System of the Main Section “Information Modeling” of the Discipline Program “Informatics” on the Basis of the Mental App... by K. E. Timofeeva

“…To implement the mental approach, mental electronic textbooks are used, which make it possible to present and interpret the educational material of the section in the form of three levels: figurative-visual, model and theoretical-conceptual form. …”
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Decarbonizing surgical care: a qualitative systematic review guided by the Congruence Model by Leonard Kloevekorn, Oskar Roemeling, Amal Fakha, Eveline Hage, Edin Smailhodzic

“…The change-oriented model examines (in)congruences across the domains of People, Work, Culture, and Structure, aiding in the understanding of organizational change. …”
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