Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization by Yuanwen Lai, Said Easa, Dazu Sun, Yian Wei

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Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction by Zhineng Hu, Yixin Zhang, Liming Yao

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Hyperspectral Remote Sensing Estimation of Rice Canopy LAI and LCC by UAV Coupled RTM and Machine Learning by Zhongyu Jin, Hongze Liu, Huini Cao, Shilong Li, Fenghua Yu, Tongyu Xu

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Design and Application of Risk Early Warning System for Subway Station Construction Based on Building Information Modeling Real-Time Model by Qianlong Tang, Mingfeng Lei, Binbin Zhu, Limin Peng, Weimin Wu, Chenghua Shi

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TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction by Kai Gao, Jiahao Zhou, Yunxian Chi, Yimin Wen

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Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers by Rongrong Dong, Han Yao, Taoran Chen, Wenjing Yang, Qi Zhou, Jiancheng Xu

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Deep Neural Networks Based on Sp7 Protein Sequence Prediction in Peri-Implant Bone Formation by Pradeep Kumar Yadalam, Carlos M. Ardila

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Socially Responsible Investment Portfolio Construction with a Double-Screening Mechanism considering Machine Learning Prediction by Jun Zhang, Xuedong Chen

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An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…By employing range and regression analyses methods, this study quantitatively evaluates the interdependencies among cutting parameters, forces, temperatures, and roughness, subsequently formulating a multivariate regression model to predict surface roughness. Finally, a turning experiment under actual working conditions was conducted, confirming the model’s capacity to predict the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>a</mi></mrow></msub></mrow></semantics></math></inline-formula> trend with an accuracy of 85.07%. …”
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On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

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Firefly Algorithm-Based Artificial Neural Network to Predict the Shear Strength in FRP-Reinforced Concrete Beams by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

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Mechanical behaviour analysis of cemented tailings rock backfill materials: An insight from mesoscale modelling coupled with damage plasticity model by Chaoyi Yang, Hang Lin, Rugao Gao, Zhengrong Li, Dengjun Gan, Mingwu Liu, Qifan Ren

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Advanced modelling of concrete structures for improved sustainability by Jiří Rymeš, Jan Červenka, Radomír Pukl

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Prediction method of TBM excavation axis deviation for small turning tunnels based on LSTM neural network by Lijie DU, Hongda HAO, Qingwei LI, Yalei YANG, Weidong ZHANG, Jiayi LIU, Hongchao FENG

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Investigation of ML algorithms for prediction of CFD data of fluid flow inside a packed-bed reactor by Yujiang Qiu, Pinxiao Liu

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Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

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Simulation of tensile fracture and strength prediction of high-lock titanium alloy bolt under eccentric load by FENG Derong, GUO Raolong, YU Weilin, LI Chao, LI Zhao, HUANG Zhangdong, XIA Jinqi, WAN Qiang

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Student Modeling and Analysis in Adaptive Instructional Systems by Jing Liang, Ryan Hare, Tianyu Chang, Fangli Xu, Ying Tang, Fei-Yue Wang, Shimeng Peng, Mingyu Lei

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FATIGUE LIFE PREDICTION OF NOTCHED STRUCTURE USING COMBINED CRITICAL PLANE-CRITICAL DISTANCE APPROACH (MT) by LIAO Ding, ZHU ShunPeng, GAO JieWei, NIU XiaoPeng, HE JinChao

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