Assessing the Effect of Hand Crushed, Machine Crushed and River Coarse Aggregates on Concrete Properties. by Agaba, Derick

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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

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Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence by Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, Francesca Ardito, Anna Maria Stellacci, Afwa Thameur, Sergio Ruggieri, Sabina Tangaro, Marcello Mastrorilli, Nicola Sanitate, Simone Pietro Garofalo

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Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

Subjects: “…Machine vision…”
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A survey on AI techniques applied in the satellite communication/satellite Internet field by Yaqiong LIU, Zhe LYU, Yafei ZHAO, Guochu SHOU

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Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

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Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma by Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

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RapidBenthos: Automated segmentation and multi‐view classification of coral reef communities from photogrammetric reconstruction by Tiny Remmers, Nader Boutros, Mathew Wyatt, Sophie Gordon, Maren Toor, Chris Roelfsema, Katharina Fabricius, Alana Grech, Marine Lechene, Renata Ferrari

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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

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Exploring the risk factors of blood transfusion in patients with isolated traumatic brain injury based on machine learning prediction models by LIU Wei, XIONG Ziqing, WU Chenggao, LE Aiping

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Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA by Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang

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Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects by Ajinkya Zalkikar, Bimal Nepal, Mani Venkata Rakesh Mutyala, Anika Varshney, Lianne Dsouza, Hazlina Husin, Om Prakash Yadav

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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine by Ningsang Jiang, Peng Li, Zhiming Feng

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FPCB STIFFENER ADHESIVE MACHINE DYNAMIC PERFORMANCE OPTIMIZATION AND ACCURACY ANALYSIS by MEI LingLiang, LIN XiaoXia, MEI XueSong

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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

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AI-Based Holistic Framework for Cyber Threat Intelligence Management by Arnolnt Spyros, Ilias Koritsas, Angelos Papoutsis, Panos Panagiotou, Despoina Chatzakou, Dimitrios Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

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An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

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One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level by Ercan Avşar, Waleed Mahmood

Subjects: “…machine learning…”
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Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset by Aasim Ayaz Wani, Fatima Abeer

Subjects: “…Machine learning…”
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