A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

“…The impacts on living conditions and natural habitats deriving from planning decisions require complex analysis of cross-acting factors, which in turn require interdisciplinary data. …”
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Identification of diagnostic biomarkers for fibromyalgia using gene expression analysis and machine learning by Fuyu Zhao, Fuyu Zhao, Fuyu Zhao, Jianan Zhao, Jianan Zhao, Jianan Zhao, Yang Li, Chenyang Song, Chenyang Song, Chenyang Song, Yaxin Cheng, Yaxin Cheng, Yaxin Cheng, Yunshen Li, Yunshen Li, Yunshen Li, Shiya Wu, Bingheng He, Juan Jiao, Cen Chang, Cen Chang

“…The diagnostic model demonstrated robust performance, with an area under the curve (AUC) of 0.8338 in the training set and 0.8178 in the validation set, indicating its potential utility in clinical settings.ConclusionThe study successfully identifies three diagnostic biomarkers for FM, supported by both bioinformatics analysis and machine learning models. These findings could significantly improve diagnostic accuracy for FM, leading to better patient management and treatment outcomes.…”
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Machine Learning Methods in the Comparative Evaluation of Various Approaches to the Surgical Treatment of Primary Angle Closure by N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

Subjects: “…principal component analysis (pca)…”
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Combining Deep Learning and Street View Images for Urban Building Color Research by Wenjing Li, Qian Ma, Zhiyong Lin

“…In this document, we focus on “building color” and present a deep learning-based framework that combines geospatial big data with AI technology to extract and analyze urban color information. …”
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VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels by Yuliana Jiménez-Gaona, Oscar Vivanco-Galván, Darwin Castillo-Malla, Israel Vivanco-Gualán, Patricia Díaz-Guzmán

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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

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Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization by Edith Heiter, Robin Vandaele, Tijl de Bie, Yvan Saeys, Jefrey Lijffijt

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Comparative framework for analyzing distance metrics in high-dimensional spaces by Дмитро Чернишов, Михайло Козюберда

Subjects: “…distance metrics; high-dimensional spaces; metric comparison; norm; norm; data analysis; machine learning.…”
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Pathway metrics accurately stratify T cells to their cells states by Dani Livne, Sol Efroni

Subjects: “…Pathway analysis…”
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Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

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Analyzing Student Graduation and Dropout Patterns Using Artificial Intelligence and Survival Strategies by Behrouz Alefy, Vahid Babazadeh

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EarlyExodus: Leveraging early exits to mitigate backdoor vulnerability in deep learning by Salmane Douch, M. Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Fatima Ezzahra El Aidos, Driss Benhaddou

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Pre-class learning assessment on integrating artificial intelligence into evidence-based medicine curriculum by ZUHAER·Yisha, CHEN Xiaowei, CAO Wangnan, WU Shanshan, LIU Junchang, SUN Yumei, WU Tao, ZHAN Siyan, SUN Feng

“…Approximately 89.13% believed AI could enhance learning efficiency, and 84.78% expressed interest in using AI for Meta-analysis, yet many exhibited low trust in AI-generated content and were concerned about its impact on independent thinking. …”
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Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis by Dana R. Sax, E. Margaret Warton, Oleg Sofrygin, Dustin G. Mark, Dustin W. Ballard, Mamata V. Kene, David R. Vinson, Mary E. Reed

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Guided vs. unguided social media-assisted language learning: An In-depth analysis of speaking performance, willingness to communicate, and social emotional learning by I Putu Indra Kusuma, Deron Walker, Priyatno Ardi, Lu Gd Rahayu Budiarta

“…The quantitative data were analyzed using Kruskal-Wallis and Mann-Whitney U tests while the qualitative data were analyzed using inductive thematic analysis. …”
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The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

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The satisfaction of ecological environment in sports public services by artificial intelligence and big data by Ke Mu, Zhiling Wang, Jinzhou Tang, Jiarui Zhang, Wenxia Han

“…The method employed involves the analysis of big data collected from questionnaire surveys, literature reviews, and interviews. …”
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Quantifying social presence in online-based learning: a statistical and didactical analysis of indicators from social network analysis by Lisa-Maria Norz, Éva Kaczkó, Michael Netzer, Elske Ammenwerth

“…We identified indicators that allow to measure social presence and provide didactically relevant information for teachers in real time by using log data from learning management systems. Further research will now focus on implementing the findings in a teacher dashboard. …”
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Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis by Jun Huang, Jun Huang, Zhuo Liu, Zhuo Liu, WeiPeng Feng, YuanLing Huang, XinChun Cheng

“…The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, LightGBM); Decision curve analysis. …”
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Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

“…Initially, the model employs a 1D-CNN for feature extraction, followed by GRUs to capture temporal patterns in the data. Reinforcement learning further optimizes the model, enhancing the analysis and accuracy of multidimensional data inputs for more reliable price predictions. …”
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