Improving Prediction of Marine Low Clouds Using Cloud Droplet Number Concentration in a Convolutional Neural Network by Yang Cao, Yannian Zhu, Minghuai Wang, Daniel Rosenfeld, Chen Zhou, Jihu Liu, Yuan Liang, Kang‐En Huang, Quan Wang, Heming Bai, Yichuan Wang, Hao Wang, Haipeng Zhang

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Predicting lymphovascular space invasion in early-stage cervical squamous cell carcinoma using heart rate variability by Junlong Fang, Ming Liu, Zhijing Song, Yifang Zhang, Bo Shi, Jian Liu, Sai Zhang

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Predicting Thermal Conductivity of Nanoparticle-Doped Cutting Fluid Oils Using Feedforward Artificial Neural Networks (FFANN) by Beytullah Erdoğan, Abdulsamed Güneş, İrfan Kılıç, Orhan Yaman

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Radix Actinidia chinensis Suppresses Renal Cell Carcinoma Progression: Network Pharmacology Prediction and In Vivo Experimental Validation by Biao Liu, Liang Zhang

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Travel time prediction for Two-Lane Two-Way undivided carriageway road Section- A case study by Sanjay Luitel, Pradeep Kumar Shrestha, Hemant Tiwari

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Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho by Freddy Bangelesa, Elhadi Adam, Jasper Knight, Inos Dhau, Marubini Ramudzuli, Thabiso M. Mokotjomela

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Multispectral imaging as a predictive tool for freshness of whole Atlantic cod: Compared with sensory, chemical and microbiological analysis by Andrea Rakel Sigurðardóttir, Hildur Inga Sveinsdóttir, Nette Schultz, Hafsteinn Einarsson, María Gudjónsdóttir

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Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques by Oryza Wisesa, Andi Andriansyah, Osamah Khalaf

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A combined XFEM and RSM approach for predicting crack propagation in nearby buildings during foundation pit construction by Zhaofeng Wu, Tiancheng Wang, Yan Kuang, Zhiliang Zhu, Fenglong Xiao, Pengliang Yang

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Predicting mechanical properties of marble powder concrete using artificial neural networks and blockchain-rock for sustainable construction by Moutaman M. Abbas, Radu Muntean

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A Unified Deep Learning Ensemble Framework for Voice-Based Parkinson’s Disease Detection and Motor Severity Prediction by Madjda Khedimi, Tao Zhang, Chaima Dehmani, Xin Zhao, Yanzhang Geng

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ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort by Farida Mohsen, Ali Safa, Zubair Shah

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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

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Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review by Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, Galina Velikova, Kate Absolom

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MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction by Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li

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Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data by Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez

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Predicting Urban Rail Transit Network Origin–Destination Matrix Under Operational Incidents with Deep Counterfactual Inference by Qianqi Fan, Chengcheng Yu, Jianyong Zuo

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Overnight maternal heart rate variability for early prediction of gestational diabetes mellitus: a retrospective cohort study by Yanqi Wu, Sima Asvadi, Myrthe van der Ven, M. Beatrijs van der Hout-van der Jagt, Elisabetta Peri, Pedro Fonseca, Sebastiaan Overeem, S. Guid Oei, Massimo Mischi, Xi Long

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Predicting long-term functional anti-VEGF treatment outcomes in neovascular AMD in a real-world setting. by Isabel B Pfister, Christin Schild, Justus G Garweg

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Development and validation of a nomogram for predicting diabetic foot ulcer risk in patients with type 2 diabetes mellitus by Xiuli Feng, Renhao Zhao, Teng Yang, Na Wang, Guofeng Wang

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