Leveraging machine learning in nursing: innovations, challenges, and ethical insights by Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam

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AI-Powered Prediction of Dental Space Maintainer Needs Using X-Ray Imaging: A CNN-Based Approach for Pediatric Dentistry by Aslıhan Yelkenci, Günseli Güven Polat, Emir Oncu, Fatih Ciftci

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Remaining Useful Life Prediction of Rolling Bearings Based on an Improved U-Net and a Multi-Dimensional Hybrid Gated Attention Mechanism by Hengdi Wang, Aodi Shi

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Real-Time Capable Thermal Model of an Automotive Permanent Magnet Synchronous Machine by Martin Stefan Baumann, Andreas Steinboeck, Wolfgang Kemmetmuller, Andreas Kugi

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Investigating the Potential Effects of Food Waste Reduction Interventions Within the Leafy Vegetable Supply Chain in Kermanshah Province, Iran by Mostafa Moradi, Hossein Shabanali Fami, Ali Akbar Barati, Felicitas Schneider, Lusine Henrik Aramyan, Reza Salehi Mohammadi

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Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

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Peripheral blood mitochondrial DNA copy number as a predictor of steatotic liver disease development: insights from epidemiological and experimental studies by Genki Mizuno, Atsushi Teshigawara, Hiroya Yamada, Eiji Munetsuna, Yoshiki Tsuboi, Yuji Hattori, Mirai Yamazaki, Yoshitaka Ando, Itsuki Kageyama, Takuya Wakasugi, Naohiro Ichino, Keisuke Osakabe, Keiko Sugimoto, Ryosuke Fujii, Hiroaki Ishikawa, Nobutaka Ohgami, Koji Ohashi, Koji Suzuki

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AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance by Kushagra Agrawal, Polat Goktas, Maike Holtkemper, Christian Beecks, Navneet Kumar

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A Data-Driven Monitoring System for a Prescriptive Maintenance Approach: Supporting Reinforcement Learning Strategies by Joaquín Ordieres-Meré, Antonio Sánchez-Herguedas, Ángel Mena-Nieto

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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

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Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

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Self-Supervised Drift-Resilient Classification for Time Series Industrial Anomaly Detection by Myung-Kyo Seo, Byeong Hoon Yoon, Junseung Ryu, Hyung Ju Hwang

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Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning by Hailong Peng, Yuhua Zhu, Zhihui Li

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Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage by Xiaohua Liu, Binjing Zhou, Jin Song, Kang Tu, Jing Peng, Weijie Lan, Jing Xu, Jie Wu, Juqing Wu, Leiqing Pan

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Regional Short‐Term Wind Power Prediction Based on CEEMDAN‐FTC Feature Mapping and EC‐TCN‐BiLSTM Deep Learning by Guoyuan Qin, Xiaosheng Peng, Zimin Yang

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Kinematic Integration Network With Enhanced Temporal Intelligence and Quality-Driven Attention for Precise Joint Angle Prediction in Exoskeleton-Based Gait Analysis by Lyes Saad Saoud, Irfan Hussain

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Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review by Tianyi Liu, Andrew J. Krentz, Zhiqiang Huo, Vasa Ćurčin

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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

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