Physical models of the larynx source by Janusz KACPROWSKI

“…The development of objective acoustic methods in the medical diagnostics of several speech disorders and the resulting clinical applications in laryngology and phoniatry call for a versatile physical model of the human larynx source. Such a model should simulate the physiological structure and the characteristics of the natural, i.e. biological laryngeal system from both the phenomenological and the quantitative points of view. …”
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A Systematic Literature Review on AI Safety: Identifying Trends, Challenges, and Future Directions by Wissam Salhab, Darine Ameyed, Fehmi Jaafar, Hamid Mcheick

“…This work provides a structured and systematic overview of AI safety. In which, we emphasize the significance of designing AI systems with safety focus, encompassing elements from data management, model development, and deployment. …”
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EFFECTIVE SEISMIC TECHNOLOGIES FOR NEW GEOLOGICAL DISCOVERIES IN EAST SIBERIA by A. V. Gaiduk, D. N. Tverdokhlebov, E. A. Danko, E. I. Dolgova, A. B. Kleshnin, V. A. Grinchenko, E. I. Goguzeva, A. S. Chirgun

“…Upon further development of technologies, improvements are introduced in field operations, seismic data processing and interpretation, and drilling programs. As the information content of the survey data increases, it becomes possible to revise and update geological models and/or develop them in a more detail. …”
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Life Pattern-Based Human Attribute Estimation Using Only GPS Data by Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…This limitation arises because annotating stay locations and purposes in GPS data is challenging due to the complexity of urban structures and constraints on data quality. In this study, we propose ArLPH, a framework that takes only GPS data as input, models mobility from the perspective of “when and what types of places he/she visited,” and enables the interpretation of life patterns. …”
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Fatigue characterization of a crankshaft steel: Use and interaction of new models by Sergio Blasón, Cristina Rodríguez, Alfonso Fernández-Canteli

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Fatigue characterization of a crankshaft steel: Use and interaction of new models by Sergio Blasón, Cristina Rodríguez, Alfonso Fernández-Canteli

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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

“…The combined approach of Borderline-SMOTE, MICE imputation, and TPE for LightGBM achieved an accuracy of 0.9882, sensitivity of 0.9370, precision of 0.9835, F1 score of 0.9597, and AUC of 0.9963, indicating a highly effective and robust model. Interpretation: The optimized model demonstrated outstanding performance in early CHD detection. …”
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INVESTMENT PROPERTY – THE COST-BASED MODEL OR THE FAIR VALUE MODEL. WHAT DO WE CHOOSE? by Valeriu Brabete

“…The current accounting rules governing investment property issues allow economic entities that own such assets to exercise their right of option through professional judgment for several models that allow for the subsequent evaluation of these balance sheet structures. …”
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PyGAMD: Python graphics processing unit‐accelerated molecular dynamics software by Jialei Xu, Shenghong Guo, Miaolan Zhen, Zhuochen Yu, Youliang Zhu, Giuseppe Milano, Zhongyuan Lu

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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…Time series prediction is a challenging task that requires modeling complex temporal dependencies and structural priors. …”
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Comprehensive and Dedicated Metrics for Evaluating AI-Generated Residential Floor Plans by Pengyu Zeng, Jun Yin, Yan Gao, Jizhizi Li, Zhanxiang Jin, Shuai Lu

“…We further conducted a quantitative comparison of diversity, revealing that FloorplanDiffusion, HouseDiffusion, and HouseGAN each demonstrated strengths in different aspects—graph structure, spatial location, and room geometry, respectively—while no model achieved consistently high diversity across all dimensions. …”
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Modified hard-constrained PINNs for physically consistent microgrid transient response modeling by Likun Chen, Yifan Wang, Wei Sun, Lei Shang, Xuzhu Dong, Bo Wang

“…Compared to conventional ’structure-first’ grey-box model for transient response analysis, our approach unifies physics fidelity with data-driven adaptability, achieves a new balance between interpretability and generalization in microgrid equivalent modeling. …”
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A deep q-networks model for optimising decision-making process in the context of energy transition modelling by Ana Tănăsescu, Cristian Bucur, Jean Vasile Andrei, Bogdan-George Tudorică, Dorel Mihai Paraschiv, Dorel Dușmănescu

“…By demonstrating that deep reinforcement learning can produce stable, near-optimal strategies under structural uncertainty and high-dimensional state spaces, the study furnishes both methodological and practical impetus for embedding adaptive, data-driven intelligence in future energy-transition analyses.…”
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Mathematical Frameworks for Network Dynamics: A Six-Pillar Survey for Analysis, Control, and Inference by Dimitri Volchenkov

“…Within each pillar, we delineate conceptual motivations, canonical models, analytical methodologies, and open challenges. …”
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The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods by Marziyeh Kashani, Atefeh Amindoust, Mahdi Karbasian, Abbas Sheikh Aboumasoudi

“…Then FRs have entered the second matrix of QFD and examined along with leveled components based on the alternatives available for each component. Also, the Design Structure Matrix (DSM) has been used to evaluate the effect of elements upon each other in each phase. …”
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Visualizing and Understanding Guangzhou City, an Historic City in Rapid Transformation by Xiaoli Wei, Zhuangzhuang Wu, Yao Cheng, Jing Yan, Ning Wang

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Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study by Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li

“…A landslide sensitivity model is developed using the LightGBM algorithm, and SHAP is applied to interpret the model and assess the impact of each factor on landslide likelihood. …”
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TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…The time, the temporality of the narrative of travel literature determines the space of human self-awareness, which also means the problematization of the logical structure of the statement and paradoxically makes the eventfulness of travel not a predicative function of the subject, but an autonomous entity. …”
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Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models by Jianyuan Liang, Shuyang Hou, Anqi Zhao, Qingyang Xu, Longgang Xiang, Rui Li, Huayi Wu

“…To address this, we propose S-GMKG, a knowledge graph that systematically extracts and integrates modeling processes from scripts as structured semantic units. …”
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Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The implementation involves constructing a vector space of therapist remarks, applying dimensionality reduction, clustering, and optimizing topic representations. To improve interpretability, expert assessment and manual refinement complement the automated modeling process. …”
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