[PDF][PDF] COVID-19 Epidemic Prediction Based on Deep Learning

R Li, Z Zhang, P Liu - J. Nonlinear Model. Anal, 2023 - doc.global-sci.org
… GRU model to predict the real-time spread of COVID-19, which has fewer parameters so that
it can reduce the risk of … In order to make full use of the previous historical data to predict the …

[PDF][PDF] Categorising Vaccine Confidence with Transformer-Based Machine Learning Model: The Nuances of Vaccine Sentiment on Twitter

P Kummervold, S Martin, S Dada, E Kilich… - … Preprint posted online …, 2021 - academia.edu
… It is an extensive collection of English vaccine related articles from both the news media and
… 80% on an iMDb movie review task, was unable to predict anything better than the most …

[HTML][HTML] Present situation and prospect of intelligent demolition technology for long-span prestressed concrete bridge

YJ Liu, ZW Tang, J Xiao, J LIU, B GONG… - J Archit Civil …, 2022 - jace.chd.edu.cn
… the risk conditions in advance and take active and efficient safety … measures to realize
the accurate prediction and control of the bridge demolition process. Accurate measurement

[PDF][PDF] Jobsite safety management potential of navigated inspection

PC Liao, XY Wang, XL Sun - … of Council on Tall Buildings and …, 2016 - global.ctbuh.org
risks without sacrificing overall inspection performance. Although preliminary results looks
promising, it is believed that network strategies should be utilized to identify critical risks with …

[引用][C] Energy-efficient geodistributed big data analytics

P Zhao, S Yang, X Yang, W Yu, J Lin - arXiv preprint arXiv: 1708.03184, 2017

建築資訊模型執行應用於工程設計績效評估

WB Chiu - 國立臺灣大學土木工程學系學位論文, 2023 - airitilibrary.com
… the engineering performance evaluation and prediction have a … artificial intelligence neural
network (ANNs) machine learning … a comprehensive methodology for the proposing models, …

[PDF][PDF] INVENTORY DATA MINING SYSTEM USING FEDERATED MACHINE LEARNING STRATEGY 使用联邦机器学习策略的库存数据挖掘系统

MA Mahfouz, SM Mosaad, MA Belal - 西南交通大学学报 - researchgate.net
… as one of the biggest business risk factors in a range of … forecast accuracy, a more thorough
analysis was conducted, and this … of backorder prediction, different machine learning models

机器学习在脑卒中医学中的应用: 进展, 挑战和未来展望

M Daidone, S Ferrantelli, A Tuttolomondo - 中国神经再生研究(英文版), 2024 - sjzsyj.com.cn
… in imaging analysis, diagnosing stroke subtypes, risk … and realizing the full potential of
machine learning in stroke care, … , and performance assessment related to stroke mortality. …

[PDF][PDF] Predicting Early Readmission of Diabetic TS Patients: Toward Interpretable Models 器響

MMA Shibly, TA Tisha - researchgate.net
… of a machine learning model like Local Interpretable Model-… The objective of this study is
to predict the risk of a diabetic … The overall performance of this study is better than the other …

[PDF][PDF] 阁EasyChair Preprint

E Henry, H Jonathan - 2024 - easychair.org
… This enables a comprehensive analysis of multifactorial risk factors, which would be … ,
machine learning algorithms hold great promise in the field of pancreatic cancer risk prediction. By …