Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system by Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris

“…Given its hybrid nature, it is of paramount importance to evaluate the predictive ability of the warning decision‐making process as a whole. To this end, this study compares the return period T of the occurred flood (estimated through an hydrological model fed with observations) to the warning level that was issued. …”
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Comparison of reliability in two-dimensional computed tomography vs. two-dimensional magnetic resonance imaging for on-track/off-track measurements: analysis of key values for glen... by Jonathan Horng, MD, Anthony Magee, MD, James Pruneski, MD, Liang Zhou, MD, William Daner, MD, Kyong S. Min, MD

“…Conclusion: On-track and off-track assessments using 2D CT and 2D MRI demonstrated inconsistent results; therefore, the additional information provided by 2D CT may be of significant value for clinical decision-making.…”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…Abstract In the rapidly evolving landscape of digital finance, accurate credit risk assessment is critical for mitigating financial risks and improving lending decision-making. …”
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Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care by Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Kashif Saleem, Hazem Migdady, Vaclav Snasel, Aseel Smerat, Absalom E. Ezugwu

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Assessing the impact of biosecurity compliance on farmworker and livestock health within a one health modeling framework by Arash Arjmand, Majid Bani-Yaghoub, Kiel Corkran, Pranav S. Pandit, Sharif S. Aly

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Simulation Model as an Element of Sustainable Autonomous Mobile Robot Fleet Management by Magdalena Dobrzańska, Paweł Dobrzański

“…The results obtained in this research confirmed the possibility of using the proposed tool for supporting the decision-making process for assessing the energy efficiency of the designed intralogistics system. …”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Assessing paleo channel probability for offshore wind farm ground modeling - comparison of multiple-point statistics and sequential indicator simulation by Lennart Siemann, Ramiro Relanez

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Assessing the efficacy of a virtual reality lower leg fasciotomy surgery training model compared to cadaveric training by Heather Groves, Kristina Fuller, Vondel Mahon, Steven Butkus, Amitabh Varshney, Barbara Brawn, Jonathan Heagerty, Sida Li, Eric Lee, Sarah B. Murthi, Adam C. Puche

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Risk Management of Import and Export Products Based on Big Data Analysis: Assessment Model with IndetermSoft Set by Ling Chen, Chunpeng Liu

“…This study explores the application of multi-criteria decision-making methods methodologies for assessing risks associated with import and export products, focusing on quality compliance, supply chain vulnerabilities, cybersecurity threats, and regulatory adherence. …”
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Assessing The Impact of Records Managers Training on Performance of Municipalities: A case Study Of Kabale Munuciplity Kabale District. by Ninshaba, Clare

“…Promoting accountability, facilitating decision-making, saving time and space, and proper administration However, the respondents also indicated that there also some challenges that were being faced by Records Managers of Kabale municipality but some possible solutions were proposed. …”
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Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities by Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt

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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data by Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven Longmore, Serge Wich

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Advancements in Radiology Report Generation: A Comprehensive Analysis by Dima Mamdouh, Mariam Attia, Mohamed Osama, Nesma Mohamed, Abdelrahman Lotfy, Tamer Arafa, Essam A. Rashed, Ghada Khoriba

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Structured Entrepreneurship Education Assessment in Vocational Colleges: A HyperSoft Set Model with an MCDM-Based Framework by Song Gu

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AI4EF: Artificial Intelligence for Energy Efficiency in the building sector by Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis, Ariadni Michalitsi-Psarrou, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis

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Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming by Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao

“…The models were evaluated based on classification accuracy, inference speed, and computational efficiency, with Technique for Order Preference by Similarity to Ideal Solution with Linear Programming (TOPSIS-LP) applied as a multi-criteria decision-making approach. …”
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The Use of Comparative Multi-Criteria Analysis Methods to Evaluate Criteria Weighting in Assessments of Onshore Wind Farm Projects by Dimitra G. Vagiona

“…The ranking of this suitability was performed by integrating various multi-criteria decision-making (MCDM) techniques. The assessments of the site suitability of such projects considered several criteria, including wind velocity, distance from high-electricity grids, slope, distance from road networks, installed capacity, distance from protected areas, years of operation, and distance from settlements. …”
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Prediction of acute pancreatitis severity based on early CT radiomics by Mingyao Qi, Chao Lu, Rao Dai, Jiulou Zhang, Hui Hu, Xiuhong Shan

“…Conclusion The clinical-radiomics model offers a novel tool for the early prediction of acute pancreatitis severity, providing valuable support for clinical decision-making.…”
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Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time by Daiana Colledani, Claudio Barbaranelli, Pasquale Anselmi

“…Abstract In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. …”
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