Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…Short-term prediction of traffic variables aims at providing information for travelers before commencing their trips. …”
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Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM by Haijun Li, Yongpeng Zhao, Changxi Ma, Ke Wang, Xiaoting Huang, Wentao Zhang

“…Predicting rail transit passenger flow is crucial for modifying the metro schedule. …”
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model by Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao

“…So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements. …”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…By combining advanced graph-based and sequence-based learning techniques, DuGEL addresses the limitations of existing methods and provides a robust framework for the prediction of microbe-disease associations. To evaluate the performance of DuGEL, we conducted comprehensive comparative experiments and case studies based on two databases, HMDAD, and Disbiome to demonstrate that DuGEL can effectively predict potential microbe-disease associations.…”
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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network by Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto

“…This research aims to develop an accurate Artificial Neural Network (ANN) model to predict the tensile strength of EPOFB fiber-reinforced composites. …”
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The Nonlinear Stability Prediction and FEM Modeling of High-Speed Spindle System with Joints Dynamic Characteristics by Bo Wang, Wei Sun, Kunpeng Xu, Junyong Zhang, Bangchun Wen

“…When predicting the nonlinear stability of high-speed spindle system, it is necessary to create an accurate model that reflects the dynamic characteristics of the whole system, including the spindle-bearing joint and spindle-holder-tool joints. …”
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Predictive factors for axillary pathological complete response to neoadjuvant therapy in elderly breast cancer patients by Yuying Wang, Rui Wang, Di Lu, Yaling Zeng, Xihui Tu, Shiwei Liu, Purong Zhang

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Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

“…Protein–Protein Interaction (PPI) prediction plays a pivotal role in understanding cellular processes and uncovering molecular mechanisms underlying health and disease. …”
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Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria by Ting Zhu, Shufei Duan, Huizhi Liang, Fujiang Li, Wei Zhang

Subjects: “…Disease prediction model…”
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An Updated Design Formula for Predicting the Compressive Strength of Plate: Elastic Buckling and Ultimate Compressive Strength by Do Kyun Kim, Hee Yeong Yang, Shen Li, Seungjun Kim

“…In the present study, a simplified and useful design formula is proposed to predict the ultimate strength of a plate under longitudinal compression. …”
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Transient Vibration Prediction for Rotors on Ball Bearings Using Load-Dependent Nonlinear Bearing Stiffness by Fleming David, Poplawski J.

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Prediction of Fatigue Crack Growth Rate and Stress Intensity Factors Using the Finite Element Method by Yahya Ali Fageehi

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Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network by A. Sadighzadeh, A. Salehizadeh, M. Mohammadzadeh, F. Shama, S. Setayeshi, S. A. H. Feghhi, S. M. Sadati, M. Rezaei, E. Haji Ebrahimi, G. H. Roshani

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A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration by Jiawen Ren, Xin Zhou, Jingjing An, Xing Shi, Xing Jin, Tianzhen Hong, Da Yan

“…Simulating and predicting urban patterns enables evidence-based decision-making for urban planners. …”
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Kriging Surrogate Models for Predicting the Complex Eigenvalues of Mechanical Systems Subjected to Friction-Induced Vibration by E. Denimal, L. Nechak, J.-J. Sinou, S. Nacivet

“…This study focuses on the kriging based metamodeling for the prediction of parameter-dependent mode coupling instabilities. …”
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Significance of EGFR and PTEN Expression and PLR and NLR for Predicting the Prognosis of Epithelioid Malignant Peritoneal Mesothelioma by Yufei Liang, Guoqi Zheng, Wenjie Yin, Hui Song, Chunying Li, Liang Tian, Dongliang Yang

“…Multivariate analysis revealed that PTEN and PLR were validated as predictive for overall survival of epithelioid MPeM (HR=0.070, P=0.001, and HR=3.379, P=0.007, respectively). …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

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A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis by Haitao Chang, Lianqing Zhu, Xiaoping Lou, Xiaochen Meng, Yangkuan Guo, Zhongyu Wang

“…Compared with other local strategies with different similarity criterions, it has been shown that the proposed local errors regression can result in a significant improvement in terms of both prediction ability and calculation speed.…”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

Subjects: “…wind power prediction…”
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Predicting roadkill: a regional-scale model for the Northern Tamandua integrating environmental and road characteristics by Silvio Boyat, Esmeralda Arévalo-Huezo

“…The final model had an excellent predictive performance (AUC = 0.989) and identified 108.7 km of road sections throughout the region as high risk, mainly found on primary roads. …”
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