Calculation of Propulsive Motion for Two-Jointed Bionic Robotic Dolphin by Zhiqun Yuan, Yuxuan Chang, Chen Chen, Yanqiang Chen, Shuixuan Chen

“…The cruising propulsion process of the bionic robotic fish under the swinging tail motion presents a strong periodic dynamic response, and accurate prediction of its performance is the key to the overall design. …”
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Statistics and Analysis of the Relationship between Strength and Age of Coral Concrete by Bo Liang, Lan Rao, Yun Zheng

“…A new model to characterize the strength-age relationship of coral concrete is proposed in this study, which is in good agreement with the experimental result, but for the long-term strength prediction of coral concrete in actual engineering, it is recommended to adjust the prediction results according to the environment and working conditions of coral concrete, and the adjustment coefficient could be approximately taken as 0.88. …”
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The Impacts of Satellite Remotely Sensed Winds and Total Precipitable Vapour in WRF Tropical Cyclone Track Forecasts by Diandong Ren

“…Other approaches are suggested to improve the accuracy in the prediction of TC genesis and tracks.…”
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Application of Chaos Theory in Trucks' Overloading Enforcement by Abbas Mahmoudabadi, Arezoo Abolghasem

“…The results have also revealed that the chaotic prediction model would act more capably comparing the analogous methods including simple smoothing and moving average to predict the ratio of passing trucks to be possibly overloaded.…”
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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…However, a significant gap exists in comparing the predictive performance of traditional machine learning methods with advanced deep learning models using real-world datasets. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…Diabetes poses a significant threat to global health, making accurate prediction and effective treatment of the disease critical. …”
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An Observing System Simulation Experiment (OSSE) to Assess the Impact of Doppler Wind Lidar (DWL) Measurements on the Numerical Simulation of a Tropical Cyclone by Lei Zhang, Zhaoxia Pu

“…Assimilating these observations into a mesoscale model is expected to improve the performance of the numerical weather prediction (NWP) models. In order to examine the potential impact of the DWL three-dimensional wind profile observations on the numerical simulation and prediction of tropical cyclones, a set of observing simulation system experiments (OSSEs) is performed using the advanced research version of the Weather Research and Forecasting (WRF) model and its three-dimensional variational (3DVAR) data assimilation system. …”
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Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…Compared with ELM and RBF models, the DNN model has 31.7% and 22.5% increase in OP prediction accuracy, respectively.…”
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Study of the Permanent Deformation of Soil Used in Flexible Pavement Design by Wendel S. Cabral, Suelly H. A. Barroso, Samuel A. Torquato

“…The results showed that both the test procedure and the prediction models performed satisfactorily in obtaining PD behavior. …”
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Parallel Computation of RCS of Electrically Large Platform with Coatings Modeled with NURBS Surfaces by Ying Yan, Wei-Xin Zhao, Xun-Wang Zhao, Yu Zhang, Chang-Hong Liang

“…From which, it can be found that this paper’s method can greatly speed the calculation and is capable of solving the real-life problem of RCS prediction.…”
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Degradation and reliability assessment of accuracy life of RV reducers by XU Hang, NIE Yixuan, WEN Dongjie, REN Jihua, HONG Zhihui

“…A Gaussian process regression model optimized by genetic algorithm was established using vibration characteristic data to optimize the prediction of transmission accuracy.ResultsThe results show that the prediction accuracy based on Gaussian process regression model is significantly better than that of traditional regression model. …”
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Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

“…However, several unresolved or challenging issues remain, including the interpretability of models and the ability to predict rare weather events. By identifying these gaps, this research provides a roadmap for advancing machine learning-based weather forecasting techniques to complement and enhance weather prediction results.…”
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Characteristic Changes of Scale Invariance of Seismicity Prior to Large Earthquakes: A Constructive Review by Qiang Li, Gui-Ming Xu

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A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US by Vladimir M. Krasnopolsky, Ying Lin

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P-LEACH: An Efficient Cluster-Based Technique to Track Mobile Sinks in Wireless Sensor Networks by Sungchol Cho, Li Han, Bokgyu Joo, Sunyoung Han

“…Recently research works on WSNs with mobile sinks apply prediction techniques for sink tracking in order to improve tracking precision while keeping the number of active nodes to the minimum. …”
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A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach by Jujie Wang

“…Afterwards, the final prediction value can be obtained by the sum of these prediction results. …”
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Multiple PAHs’ Detection under CDOM Interference Based on Excitation-Emission Matrix and Interval Selection by Ruizhuo Li, Limin Gao, Guojun Wu, Jing Dong

“…The partial least squares (PLS) prediction models of four PAHs under interference were established. …”
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Applying Adaptive Neural Fuzzy Inference System to Improve Concrete Strength Estimation in Ultrasonic Pulse Velocity Tests by Loan T. Q. Ngo, Yu-Ren Wang, Yi-Ming Chen

“…Then, the testing results of 312 samples were used to develop and validate two artificial intelligence prediction models. The research results show that artificial intelligence prediction models are more accurate than statistical regression models in terms of the mean absolute percentage error.…”
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Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network by Wenwen Yao, Ying Zhen, Yu Zhang

“…However, the associated lookup of usual cognitive mannequin has terrible steadiness and prediction charge in focus results. This paper constructs a cognitive model of family training decision-making principally based totally on neural network. …”
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Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Wenjing Chen

“…The proposed method provides the prediction results that are compared with the predicted values of some grey models (GM) and the actual gold price, respectively. …”
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