Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China by Jingmiao Zhou, Yuzhe Zhao, Xingwen Niu

“…The optimization towards different levels of decision-making process is a new research of highly practical values. …”
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The nexus between teacher trainees’ digital literacy and online learning motivation by Md. Meraz Ahmed, Merine Sultana, Md. Rokonuzzaman, Md. Kamal Hossain

“…BOU can evaluate all of these findings to make a rational decision regarding the development of its teacher education programs. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

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Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning by Robin Cremese, Charlotte Godard, Alexis Bénichou, Thomas Blanc, Iwan Quemada, Christian L. Vestergaard, Bassam Hajj, Alex Barbier–Chebbah, François Laurent, Jean-Baptiste Masson

“…This integrated digital twin strategy can potentially improve preoperative decision-making significantly and, consequently, surgical outcomes.…”
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Smart Dairy Farming: A Mobile Application for Milk Yield Classification Tasks by Allan Hall-Solorio, Graciela Ramirez-Alonso, Alfonso Juventino Chay-Canul, Héctor A. Lee-Rangel, Einar Vargas-Bello-Pérez, David R. Lopez-Flores

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Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…Key areas of research include air and water quality monitoring, climate change modeling, biodiversity assessment, and disaster management. The integration of AI with emerging technologies, such as the Internet of Things (IoT) and remote sensing, has significantly expanded real-time environmental monitoring capabilities and data-driven decision-making. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

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Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

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Digital health intervention for children with ADHD to improve mental health intervention, patient experiences, and outcomes: a study protocol by Nancy Herrera, Franceli L. Cibrian, Lucas M. Silva, Jesus Armando Beltran, Sabrina E. B. Schuck, Gillian R. Hayes, Kimberley D. Lakes

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Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism by Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt

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Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning by Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, Jerry Gao

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Medication safety analysis of elderly inpatients based on improved functional resonance analysis method (FRAM): a mixed methods study by Jing Yang, Xuwen Yin, Yue Xu, Zejuan Gu, Tingru Li, Yanhong Yan, Qiaoling Jiang, Ting Lu, Yangyang Fu, Yan Yu, Zhongyan Hou

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Climate change and sustainable livelihood in south Asia: A bibliometric analysis by Humood Fahm Albugami, Md Kaikubad Ali, Saddam Hossain, Hanan Zaffar, Naved Ahmad

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A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images by Neetha George, Linu Shine, Ambily N, Bejoy Abraham, Sivakumar Ramachandran

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Automated Detection of Road Defects Using LSTM and Random Forest by Abdulrahman Alrajhi, Kaushik Roy, James Kribs, Sultan S. Almalki

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Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification by Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru, Diego Borro

“…The use of explainable AI and model calibration offers a deeper understanding of the model’s decision-making process, ensuring robustness and transparency, and setting confidence thresholds for outputs. (4) Conclusions: The proposed system enhances the performance of automatic wood inspection technologies, providing a robust solution for industries requiring precise wood quality assessment, particularly in wine barrel production.…”
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NLE-ANSNet: A Multilevel Noise Estimation and Adaptive Scaling Framework for Hybrid Noise Suppression in Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma by Jasem Almotiri

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Evaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval by Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li

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Study of methods for extracting contours of objects on raster images of amber samples by Yu.O. Podchashynskyi, A.V. Ryzhuk

“…Also, these methods exclude subjective factors influencing decision-making. TVS can determine fine particles, various inclusions, cracks, and texture on the examined surface much better, using various methods and algorithms for contour detection and further processing of the obtained results. …”
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Real-time prediction of early concrete compressive strength using AI and hydration monitoring by Adam Marchewka, Patryk Ziolkowski, Sebastián García Galán

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