Relationship between In-Hospital Sepsis Prediction Score and Prevalence of Community-Onset Sepsis: Triage for Sepsis Risk Management by Kyung Hyun LEE, Hyunwoo CHOO, Sungsoo HONG, Sungjun HONG, Ki-Byung LEE, Hochan CHO

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A systematic approach to predicting NFT prices using time series forecasting and macroeconomic factors in digital assets by Sudip Giri, Dongping Du, Mario Beruvides

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Intelligent assessment of damage and prediction of seismic damage spectrum under the effect of Near-Fault earthquakes in Iran by R. Fazli, M. Shamekhi Amiri, H. Pahlavan

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Use of Phenomics in the Selection of UAV-Based Vegetation Indices and Prediction of Agronomic Traits in Soybean Subjected to Flooding by Charleston dos Santos Lima, Darci Francisco Uhry Junior, Ivan Ricardo Carvalho, Christian Bredemeier

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RUL Prediction for Lithium Battery Systems in Fuel Cell Ships Based on Adaptive Modal Enhancement Networks by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Jiaxin Luo, Lei Han, Junting Lang, Weixin Zhao

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Analyzing Climate Change Status through Evaluating Trend of Temperature and Rainfall and Predicting Future Climate Change Status at Lake Tana Basin by Tesfaye Bayu Zeleke, Tri Retnaningsih Soeprobowati, Solomon Adissu, Meseret Abatechanie

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PSCDR-BMPNet: A Point-Supervised Contrastive Deep Regression Network for Point Cloud Biomass Prediction by Yi Wang, Hao Peng, Cheng Ouyang, Ruofan Zhang, Mingyu Tan, Wenwu Hu, Pin Jiang

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Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network by Hero Rafael Castillo Arante, Edwin Sybingco, Maria Antonette Roque, Leonard Ambata, Alvin Chua, Alvin Neil Gutierrez

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Brand visibility in packaging: a deep learning approach for logo detection, saliency-map prediction, and logo placement analysis by Alireza Hosseini, Kiana Hooshanfar, Pouria Omrani, Reza Toosi, Ramin Toosi, Zahra Ebrahimian, Mohammad Ali Akhaee

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Identification of early prediction biomarkers of severity in patients with severe fever with thrombocytopenia syndrome based on plasma proteomics by Qian Zhang, Qian Zhang, Zhengyi Jiang, Nan Jiang, Luchen Shi, Jiaying Zhao, Jie Zhao, Jie Zhao, Ke Ouyang, Ke Ouyang, Huaying Huang, Huaying Huang, Yaqin Zhang, Yan Dai, Nannan Hu, Ping Shi, Yaping Han, Ke Jin, Jun Li

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Predicted distribution of curl-leaf mountain mahogany (Cercocarpus ledifolius) in the Bighorn Canyon National Recreation Area. by Robert E Kissell, Michael T Tercek, David P Thoma, Kristin L Legg

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Early predictors of induction of remission with exclusive enteral nutrition in children with Crohn’s disease by Yudie Hu, Yao Lv, Jingan Lou, Youyou Luo, Gan Yang, Yang Liu, Jiaying Zhou, Changjun Zhen, Jindan Yu, Youhong Fang, Hong Zhao, Kerong Peng, Yan Ni, Jie Chen

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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

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Investment versus economic development by Tadeusz Janicki

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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

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Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures by Christos Pavlatos

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Systemic inflammation is an important risk factor and predictor of graft loss and mortality one year after kidney transplantation by Torbjørn F. Heldal, Torbjørn F. Heldal, Torbjørn F. Heldal, Anders Åsberg, Anders Åsberg, Anders Åsberg, Thor Ueland, Thor Ueland, Thor Ueland, Anna V. Reisæter, Anna V. Reisæter, Søren E. Pischke, Søren E. Pischke, Tom E. Mollnes, Tom E. Mollnes, Pål Aukrust, Pål Aukrust, Pål Aukrust, Pål Aukrust, Finn P. Reinholt, Anders Hartmann, Anders Hartmann, Kristian Heldal, Kristian Heldal, Kristian Heldal, Trond G. Jenssen, Trond G. Jenssen

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A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction by Bhabani S. Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi.D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

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Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey by Manhui Zhang, Xian Xia, Qiqi Wang, Yue Pan, Guanyi Zhang, Zhigang Wang

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Predicting the Flexural Modulus of Variable Pitch Angle, Porous Bouligand Structured 3D Printed Polymer by Praveenkumar S. Patil, Edward D. McCarthy, Parvez Alam

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