An Analytical Solution for the Vibration and Far-Field Sound Radiation Analysis of Finite, Semisubmerged Cylindrical Shells by Wenjie Guo, Zhou Yang, Yueyang Han

“…Besides, in consideration of simplicity and less computation effort, the present method can be used for the rapid prediction of the vibration and far-field sound pressure of a semisubmerged cylindrical shell with low-frequency excitation.…”
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On the assessment and reliability of political and ideological education in colleges using deep learning methods by Yongsheng Ma, Xianhui Sun, Aiqun Ma

“…This study focuses on predicting assessment scores to evaluate student performance, identify areas of vulnerability, and implement targeted interventions. …”
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Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method by Subas Chhatkuli, Seiichi Koshizuka, Mitsuru Uesaka

“…Comparing with the experimental data, the lung surface displacement during inspiration process was predicted reasonably well. Comparison of numerical prediction with experimental observations showed that the root mean squared error was about 2 mm at lower lobe and less than 1 mm at upper lobe at lung surface.…”
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Research on Temporal and Spatial Distribution Characteristics of Microseismic Events of Slip-Type Rockburst by Kun Xu, Leibo Song, Wenjie Song, Jiangtao He, Liping Li, Ge Yan, Qin Chen, Gang Wang

“…The research results can provide reference for rockburst prediction and prevention in similar deep rock engineering.…”
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PLncWX: A Machine-Learning Algorithm for Plant lncRNA Identification Based on WOA-XGBoost by Fei Guo, Zhixiang Yin, Kai Zhou, Jiasi Li

“…Meanwhile, the number of elements in the feature subset was reduced to 23, which effectively improved the prediction accuracy and modeling efficiency.…”
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Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos

“…This paper focuses on the analysis of several datasets used for aesthetic prediction based on ratings from photography websites and psychological experiments. …”
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Mathematical analysis of a model for glucose regulation by Kimberly Fessel, Jeffrey B. Gaither, Julie K. Bower, Trudy Gaillard, Kwame Osei, Grzegorz A. Rempała

“…Additionally, we also present an application of our method to prediction of the time to baseline recovery and calculation of insulin sensitivity and glucose effectiveness, two quantities regarded as significant in diabetes diagnostics.…”
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Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

“…First, we formulate the DAESVMs training classifiers with reducing Maximum Mean Discrepancy (MMD) among domains by mapping data into a latent space and preserving properties of original data, and then, we integrate classifiers to make a prediction for target domain instances. Our experiments were conducted on Office and Caltech10 datasets and verify the effectiveness of the model we proposed.…”
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The Time-Series Production Simulation in Cost Management of New Energy Grid Connection Under the Internet of Things by Shurui Wang

“…The introduced Wasserstein distance improvement method positively enhances the model’s prediction accuracy, with a decrease of 208.4 in Mean Squared Error, a reduction of 145.6 in Root Mean Squared Error, and a decrease of 7.14 in Mean Absolute Error. …”
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Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget by Rui Gong, Xu Zhang

“…Combined with the matching algorithm and linear regression prediction algorithm in data analysis, the financial data is analyzed in depth. …”
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Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences by Guojun Deng, Zhixiang Zhou, Xi Chu, Shuai Shao

“…The research results show that the output data of our NRS method were basically consistent with the finite-element prediction (maximum error: 11.11%) and dial gauge measurement (maximum error: 12.12%); the NRS method is highly sensitive to the actual deformation of the bridge structure under different damage conditions and can capture the deformation in a continuous and accurate manner. …”
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Influence of Fuel Moisture Content and Reactor Temperature on the Calorific Value of Syngas Resulted from Gasification of Oil Palm Fronds by Samson Mekbib Atnaw, Shaharin Anwar Sulaiman, Suzana Yusup

“…Comparison of simulation results for predicting calorific value of syngas with the experimental results showed a satisfactory agreement with a mean error of 0.1 MJ/Nm3. …”
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Introducing a Novel Clustering Method for Distribution Networks to Enhance Network Performance and Ensure Load Supply in the Event of Contingencies: A Fuzzy Function-Based Approa... by Mohamad Reza Mohamadi, Mohammad Sadegh Ghazizadeh, Mohamad Abedini

“…Furthermore, the eigenvalues and eigenvectors of the Graph Laplacian matrix of the distribution network are used to identify the maximum number of cells in the distribution network and the boundary among the generated cells, considering the prediction of distributed generation and consumption load based on fuzzy modeling. …”
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Hydraulic Fracturing Mechanism of Rock Mass under Stress-Damage-Seepage Coupling Effect by Zhengzheng Cao, Yue Wang, Haixiao Lin, Qiang Sun, Xiaogang Wu, Xiaoshuai Yang

“…By analyzing the size and direction of horizontal in situ stress, the shape and extension direction of cracks are judged, which provides an important theoretical basis for water inrush prediction and engineering protection.…”
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Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram by Yudi Li, Lei Zhu, Jian Sun, Ye Tian

“…Transportation simulation and analysis projects that utilize maps with inappropriate fidelity levels carry a significant risk of having poor runtime or poor prediction performance. To address this, researchers use map abstraction method to abstract out a simplified map with fewer links and nodes based on the original full detailed map. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Numerical simulations show that the droplet drift distance can be predicted by measurable lateral wind speed via the reduced-order model approach, which agreed well with the results obtained via the CFD method. …”
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Analysis of Rural Talent Scale in Hebei Province Based on Fractional GM (1,1) and the Grey Relational Analysis Model by Yibo Li, Wenbin Bi, Kuo Xiao, Huan Li, Shi Yin, Chaoyong Tang

“…Firstly, the GM (1,1) model was used to predict the scale of rural talents in Hebei Province from 2020 to 2025. …”
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Sliding Mode Control for Robust Path Tracking of Automated Vehicles in Rural Environments by Jose Matute, Sergio Diaz, Ali Karimoddini

“…The proposed control strategy addresses the challenges posed by uncertainties and disturbances by reconfiguring and expanding the state-space matrix of a kinematic bicycle model guaranteeing Lyapunov stability and convergence of the system. A state prediction is integrated into the developed SMC to mitigate response time delays. …”
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Overview and Discussion of the OECD/NRC Benchmark Based on NUPEC PWR Subchannel and Bundle Tests by M. Avramova, A. Rubin, H. Utsuno

“…The benchmark was designed to systematically assess and compare the participants’ numerical models for prediction of detailed subchannel void distribution and department from nucleate boiling (DNB), under steady-state and transient conditions, to full-scale experimental data. …”
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Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

“…This model's superior prediction accuracy significantly enhances our ability to forecast renewable and nonrenewable energy outputs in European states, contributing to more effective energy management strategies.…”
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