Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

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Pharmacovigilance in the digital age: gaining insight from social media data by Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

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Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oopho... by Vera Loizzi, Vera Loizzi, Maria Colomba Comes, Francesca Arezzo, Adriana Ionelia Apostol, Adriana Ionelia Apostol, Samantha Bove, Annarita Fanizzi, Robert Fruscio, Robert Fruscio, Vanesa Gregorc, Francesco Legge, Rosanna Mancari, Claudia Marchetti, Claudia Marchetti, Serena Negri, Serena Negri, Giorgia Russo, Laura Vertechy, Giovanni Scambia, Giovanni Scambia, Raffaella Massafra, Gennaro Cormio, Gennaro Cormio

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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…A multi-model approach was employed to address the research questions, which included Ordinary Least Squares Regression (OLS), various Spatial Models, Machine Learning Algorithms and Explainable Artificial Intelligence methods. Firstly, OLS was used to analyse and test the linear relationships among selected variables. …”
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Adaptive online modeling of ship maneuvering motion based on error monitoring by Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, Yan PENG

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Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…Urban water distribution systems face growing challenges from energy inefficiencies caused by hydraulic anomalies, such as pipe aging, bursts, demand variability, and suboptimal pump and valve operations. …”
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Automatic fluorescence microscopic image analyzer: a novel AI-based tool for early diagnosing superficial fungal infections by Wenjing He, Chunjiao Zheng, Lianjuan Yang, Jingwen Tan

“…To improve diagnostic accuracy and efficiency, we evaluated the performance of a novel Artificial Intelligence (AI) -powered Fluorescence Microscopic Image Analyzer (FMIA) in the early detection of SFIs. …”
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Accuracy of segment anything model for classification of vascular stenosis in digital subtraction angiography by Vagner Navasardyan, Maria Katz, Lukas Goertz, Vazgen Zohranyan, Hayk Navasardyan, Iram Shahzadi, Jan Robert Kröger, Jan Borggrefe

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A Review of Developments and Metrology in Machine Learning and Deep Learning for Wearable IoT Devices by Minh Long Hoang

“…The work presents case studies, highlighting AI applications in smart devices, such as stress detection via Heart Rate Variability, personalized exercise guidance, muscular activity monitoring, and real-time image recognition. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model modification. …”
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High-throughput phenotyping in grapevine breeding research: technologies and applications by Katja Herzog, Anna Kicherer, Nagarjun Malagol, Oliver Trapp, Reinhard Töpfer

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Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology by Panshi XIE, Hang YANG, Yongping WU, Baofa HUANG, Weidian LIN, Leilei YI

“…Intelligent mining represents a critical path for the safe and efficient extraction of challenging coal resources, particularly those with steep and extreme inclinations, in China. …”
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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement by Shahid Mehmood, Tariq Shahzad, Muhammad Zubair, Farman Matloob Khan, Muhammad Adnan Khan, Khmaies Ouahada, Amir H. Gandomi

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Analysing Headway Spacing and Calculating Passenger Car Equivalent Values Using Computer Vision and International Dataset by Burak ÇELİK, Ahmet TORTUM, Emre ÇİNTAŞ, Barış ÖZYER

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Automatic picking method for ground penetrating radar wave groups at rough coal-rock interfaces by Ying TIAN, Chunzhi LI, Shuo CHEN, Zihao WANG, Fuyan LYU, Qiang ZHANG, Meng HAN, Chengjun HU

“…Its variable parameters are derived solely from known detection conditions and electrical properties of the rock layers, enabling automatic picking of ground-penetrating radar wave groups at coal-rock interfaces.…”
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Experimental Study on Monitoring Equipment for the Scouring and Sedimentation of Wharf Bank Slopes Based on Heat Transfer Principles by Jilong Yin, Huaqing Zhang, Mengmeng Liu, Qian Ma

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Advancing breast cancer diagnosis: Integrating deep transfer learning and U-Net segmentation for precise classification and delineation of ultrasound images by Divine Senanu Ametefe, Dah John, Abdulmalik Adozuka Aliu, George Dzorgbenya Ametefe, Aisha Hamid, Tumani Darboe

“…These AI-based models offer a robust diagnostic pipeline that improves lesion localization, reduces interobserver variability, and supports clinical decision-making. …”
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Machine learning techniques in monitoring and controlling friction stir welding process: a critical review by Bhardwaj Kulkarni, Saurabh Tayde, Yashwant Chapke, Swapnil Vyavahare, Avinash Badadhe

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OMRoadNet: A Self-Training-Based UDA Framework for Open-Pit Mine Haul Road Extraction from VHR Imagery by Suchuan Tian, Zili Ren, Xingliang Xu, Zhengxiang He, Wanan Lai, Zihan Li, Yuhang Shi

“…By reducing per-kilometer operational costs by 78% relative to LiDAR (Light Detection and Ranging) alternatives, OMRoadNet establishes a practical solution for intelligent mining infrastructure mapping, bridging the critical gap between structured urban datasets and unstructured mining environments.…”
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