A Trajectory Data-Driven Study on the Evolution Mechanism and Control Strategies of Lane-Changing Behavior in Intersection Areas of Expressways by Jiayou Wu, Yongwei Lei, Shaoliu Liu, Qiang Luo

“…Therefore, in accordance with the research requirements, this study selected the CitySim dataset as the foundation after comparison and utilized intelligent algorithms to extract 1349 lane-changing samples from a specific weaving section within the dataset for analyzing the lane-changing behavior characteristics of vehicles in weaving areas. …”
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Optimization of university dormitory renovation in severe cold regions under the impact of climate change by Anqi Wang, Shuhua Yu, Chunhui Shi, Yanhua An

“…Two optimization algorithms perform low-dimensional (three-objective) and high-dimensional (eight-objective) optimizations. …”
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On the Effectiveness of Vaccination against Infections Common to Humans and Animals, as Part of the Immunization Schedule for Epidemic Indications in the Russian Federation by N. M. Afonina, I. V. Mikheeva

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Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors by Artem Kozmin, Oleg Kalashev, Alexey Chernenko, Alexey Redyuk

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Picture Fuzzy Concept Lattice Models for Knowledge Structure Analysis by Chen Zhang, Zengtai Gong

“…Knowledge space theory is a theory that uses mathematical language to evaluate learners’ knowledge and guide future learning, belonging to the research field of mathematical psychology. Existing research results mainly focus on classical knowledge spaces, while insufficient attention has been paid to the uncertainty of data in practical problems. …”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…This study validates the model’s performance with real-world crash data from 2011 to 2015 in South Korea, demonstrating superior accuracy in both the classification and regression stages compared to other machine learning algorithms and traditional models. …”
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Clinical Phenotypes of Patients with Anti-DFS70/LEDGF Antibodies in a Routine ANA Referral Cohort by Makoto Miyara, Roger Albesa, Jean-Luc Charuel, Mohamed El Amri, Marvin J. Fritzler, Pascale Ghillani-Dalbin, Zahir Amoura, Lucile Musset, Michael Mahler

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Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review by Magdalena IGRAS-CYBULSKA, Daria HEMMERLING, Mariusz ZIÓŁKO, Wojciech DATKA, Ewa STOGOWSKA, Michał KUCHARSKI, Rafał RZEPKA, Bartosz ZIÓŁKO

“…Information was extracted from each paper in order to compare various aspects of datasets, speech parameters, methods of applied analysis and obtained results. 110 research papers were reviewed and 47 databases were summarized. …”
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Progress in the Clinical Application of Artificial Intelligence for Left Ventricle Analysis in Cardiac Magnetic Resonance by Yinghui Le, Chongshang Zhao, Jing An, Jiali Zhou, Dongdong Deng, Yi He

“…Although many algorithms have shown a level comparable to that of human experts, some problems, such as poor performance of basal and apical segmentation and false identification of myocardial structure, remain. …”
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Monitoring of greenhouse gas emission drivers in Atlantic Canadian Potato production: A robust explainable intelligent glass-box by Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, Mumtaz Ali, Masoud Karbasi, Gurjit S. Randhawa, Zaher Mundher Yaseen, Ross Dwyer

“…The optimal combinations were then analyzed using the GBDT-RUN and compared against two algorithms: LightGBM coupled with RUN optimizer (LightGBM-RUN) and classical GBDT. …”
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Directed carbapenemase testing is no longer just for Enterobacterales: cost, labor, and workflow assessment of expanding carbapenemase testing to carbapenem-resistant P. aeruginosa by Christian M. Gill, Poonam Rajkotia, Amity L. Roberts, Fred C. Tenover, David P. Nicolau

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"Proof-of-concept" evaluation of an automated sputum smear microscopy system for tuberculosis diagnosis. by James J Lewis, Violet N Chihota, Minty van der Meulen, P Bernard Fourie, Katherine L Fielding, Alison D Grant, Susan E Dorman, Gavin J Churchyard

“…<h4>Discussion</h4>Compared to a research microscopist, the hybrid software/human approach had similar specificity and positive predictive value, but sensitivity requires further improvement. …”
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Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain by Beniamino Di Martino, Antonio Esposito, Gennaro Junior Pezzullo, Tien-Hsiung Weng

“…This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management. …”
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STag marking visual guidance method for USV docking by Yongxin XIAO, Xianbo XIANG, Dian KONG, Lichun YANG, Shaolong YANG

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Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…Seasonal wind speed analysis revealed distinct patterns, with winter emerging as the most efficient season for wind, featuring a median wind speed of 7.96 m/s. Future research could focus on enhancing prediction accuracy through hybrid algorithms and incorporating additional meteorological variables. …”
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Developing a molecular diagnostic model for heatstroke-induced coagulopathy: a proteomics and metabolomics approach by Qingbo Zeng, Qingwei Lin, Longping He, Lincui Zhong, Ye Zhou, Xingping Deng, Nianqing Zhang, Qing Song, Qing Song, Jingchun Song, Jingchun Song

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Improvement of cardiovascular risk assessment using machine learning methods by A. V. Gusev, D. V. Gavrilov, R. E. Novitsky, T. Yu. Kuznetsova, S. A. Boytsov

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Character-word level ensemble integrated model for power transformer defect recording text mining method by LI Yuan, LI Rui, LIN Jinshan, JIN Lingfeng, SHAO Xianjun, ZHANG Guanjun

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Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm by Gaetanino Paolone, Romolo Paesani, Francesco Pilotti, Jacopo Camplone, Andrea Piazza, Paolino Di Felice

“…In addition to that, the review delves into recent research works focusing on the usage of Machine Learning (ML) algorithms in an edge Cloud-based computing architecture. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…These findings provide methodological support for developing an ecological security pattern centered on coastal wetlands and estuarine systems in Zhuhai City and suggest potential approaches for coordinating ecological protection, disaster prevention, and urban development under land subsidence conditions. Future research should focus on utilizing high-resolution spatiotemporal data, refining algorithms, and developing mechanisms to translate research findings into practical urban planning and ecological management policies.…”
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