Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

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Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

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Promoting Agency Among Upper Elementary School Teachers and Students with an Artificial Intelligence Machine Learning System to Score Performance-Based Science Assessments by Fatima Elvira Terrazas-Arellanes, Lisa Strycker, Giani Gabriel Alvez, Bailey Miller, Kathryn Vargas

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Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China by Xin Zhang, Yue Wang, Zibo Zhuang, Yuxi Liu, Chengduo Yuan, Lei Su, Jingyuan Shao, Pak-Wai Chan

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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

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Interpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making by Arnoldo Armenta-Castro, Orlando de la Rosa, Alberto Aguayo-Acosta, Mariel Araceli Oyervides-Muñoz, Antonio Flores-Tlacuahuac, Roberto Parra-Saldívar, Juan Eduardo Sosa-Hernández

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Competence analysis of artificial intelligence professionals by G. P. Sorokina, E. A. Dolgikh, T. A. Pershina

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Introducing the spectral characteristics index: A novel method for clustering solar radiation fluctuations from a plant-ecophysiological perspective by Amila Nuwan Siriwardana, Atsushi Kume

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Radiomics for Predicting the Development of Brain Edema from Normal-Appearing Early Brain-CT After Cardiac Arrest and Return of Spontaneous Circulation by Michael Scheschenja, Eva-Marie Müller-Stüler, Simon Viniol, Joel Wessendorf, Moritz B. Bastian, Jarmila Jedelská, Alexander M. König, Andreas H. Mahnken

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An advanced approach to directly calculate eutectic points in quaternary and higher-order slags: A case study on CaF2–Al2O3–CaO–MgO–SiO2 slag systems by Yi-ming Li, Jia-long Tian, Zhou-hua Jiang

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Application of Fuzzy System on Settlement of Shallow Footing on Granular Soil by Soroush Lesani

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GOVERNMENT EXPENDITURES WITHOUT GROWTH: THE CASE OF TURKEY by Orçun Söylemez, Özkan Zülfüoğlu

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A Big Data Architecture for Digital Twin Creation of Railway Signals Based on Synthetic Data by Giulio Salierno, Letizia Leonardi, Giacomo Cabri

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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

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Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

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Noninvasive imaging biomarker reveals invisible microscopic variation in acute ischaemic stroke (≤ 24 h): a multicentre retrospective study by Kui Sun, Rongchao Shi, Xinxin Yu, Ying Wang, Wei Zhang, Xiaoxia Yang, Mei Zhang, Jian Wang, Shu Jiang, Haiou Li, Bing Kang, Tong Li, Shuying Zhao, Yu Ai, Jianfeng Qiu, Haiyan Wang, Ximing Wang

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A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study by Zijian Zheng, Zijian Zheng, He Wang, Qianxi Chen, Qianxi Chen, Zhicheng Wang, Zhicheng Wang, Jun Fu, Jun Fu, Wenjian Fan, Wenjian Fan, Yuanxiang Lin, Yuanxiang Lin, Dezhi Kang, Dezhi Kang, Dezhi Kang, Changzhen Jiang, Changzhen Jiang, Zhangya Lin, Zhangya Lin, Xiaorong Yan, Xiaorong Yan, Xiaorong Yan

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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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