Forecasting tourist in-flow in South East Asia: A case of Singapore by Manoj Kumar, Seema Sharma

“…Dickey Fuller, KPSS, HEGY, Ljung-Box, Box-Pierce etc.) were applied on the time series for adequacy of best model to fit, residual autocorrelation analysis and for the accuracy of the prediction.…”
Get full text

Role of Imaging in the Diagnosis and Management of Complete Androgen Insensitivity Syndrome in Adults by Marco Nezzo, Pieter De Visschere, Guy T'Sjoen, Steven Weyers, Geert Villeirs

“…Complete androgen insensitivity syndrome can be diagnosed as a result of mismatch between the prenatal sex prediction and the phenotype at birth, can be detected by chance, or remain undetected until investigations for primary amenorrhea. …”
Get full text

An Event Causality Identification Framework Using Ensemble Learning by Xiaoyang Wang, Wenjie Luo, Xiudan Yang

“…The latest models introduce external knowledge and then use deep learning for causality prediction. However, event causality recognition still faces problems such as data imbalance and insufficient event content richness. …”
Get full text

A Method of Reducing Motor Vibration: Natural Frequency, Damping Ratio, and Vibration Analysis of CFRP Motor Frame by Jinguang Zhang, Hairu Yang, Xiong Li, Wei Ye

“…The damp ratio of the CFRP motor frame is calculated by the damp prediction model based on strain energy, which is verified by the combination of the finite element method and experiment. …”
Get full text

A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

“…It was observed that the application of the hybrid MGGP-GRG model and MGGP improved the estimates of infiltration rates as compared to conventional infiltration model, while ANN provided the best prediction of infiltration rates. To be more specific, the application of ANN and the hybrid MGGP-GRG reduced the sum of square of errors by 97.86% and 81.53%, respectively. …”
Get full text

Influence of additional static stresses on biaxial low-cycle fatigue of 2024 aluminum alloy by Andrey Yankin, Anastasia Lykova, Artur Mugatarov, Valeriy Wildemann, Artem Ilinykh

“…The results of cyclic durability prediction by the modified model provide good convergence. …”
Get full text

Risk Assessment Method for Offshore Structure Based on Global Sensitivity Analysis by Zou Tao, Li Huajun, Liu Defu

“…In this paper, the multivariate compound extreme value distribution model (MCEVD) is applied to predict the extreme sea state of wave, current, and wind. …”
Get full text

Development and Operation of the Dalian Cruise Port in China by Lina Gong

“…Based on the characteristics of the operation of the Dalian cruise port, we use the gray model to make a vague prediction of the future development of the cruise port. …”
Get full text

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model by Shuang Zeng, Chang Liu, Heng Zhang, Baoqun Zhang, Yutong Zhao

“…Through a regional case study, this method demonstrated improved predictive accuracy and operational efficiency, highlighting its advantages in both runtime and performance.…”
Get full text

Sustained Wind Forecasts from the High-Resolution Rapid Refresh Model: Skill Assessment and Bias Mitigation by Robert G. Fovell, Scott B. Capps

“…Some utilities use numerical weather prediction models like the HRRR to anticipate electrical transmission line shutdowns for public safety reasons, increasing the importance of forecast accuracy and motivating the need to understand sources of bias and differences among observation networks. …”
Get full text

Collaborative Governance of Rural Relative Poverty under Blockchain and Back Propagation Neural Network by Xin-Jie Tian, Zhi-Jun Ge

“…The results show that the accuracy of data visualization prediction of the proposed algorithm model reaches 94.31%. …”
Get full text

Erosion Effect on Non-Darcy Hydraulic Characteristics of Limestone and Mudstone Mixture by Chong Li, Sifeng He

“…Through the comparison of test results and the predicted results by the classic Carman-Kozeny model, it is found that the accuracy of the model is greatly affected by lithology. …”
Get full text

Monitoring and Analysis of Ground Settlement Induced by Tunnelling with Slurry Pressure-Balanced Tunnel Boring Machine by Hyunku Park, Ju-Young Oh, Dohyung Kim, Seokbue Chang

“…The predictions of the gap model were compared with the observed results, and adjustment factors were determined for volume loss estimation. …”
Get full text

Extraction of Weak Scatterer Features Based on Multipath Exploitation in Radar Imagery by Muhannad Almutiry, Lorenzo Lo Monte, Michael C. Wicks

“…Improving the quantity of the prediction, including multipath scattering effects (neglected under the Born approximation), allows us to solve the inverse problem. …”
Get full text

Analysis of Farmer Relocation Selection Behavior Based on Bayesian Network by Song Li, Yanbo Guo

“…In order to make a detailed analysis of the prediction of migrant workers’ behavior in cities, this paper studies the internal mechanism of the change of commuters’ commuting patterns under the background of urban suburbanization. …”
Get full text

Hybrid Models for Weather Parameter Forecasting by Rashmi Bhardwaj, Varsha Duhoon

“…The study becomes significant as weather forecasting with accuracy is a complex task along with the reduction of prediction error by the application of different models and schemes. …”
Get full text

THE INFLUENCE OF SAMPLE SIZE AND SELECTION OF FINANCIAL RATIOS IN BANKRUPTCY MODEL ACCURACY by Yusuf Ali Al-Hroot

“…The prediction accuracy varies among models when increasing the sample size from 6 to 14 companies for the models that developed from the financial ratios of the first group.  …”
Get full text

The Relationship between Mobile Phone Anxiety and Sleep Quality Occupational Therapy in Adolescents and Its Internal Mechanism by Jingwen Bi

“…The difference between mobile phone anxiety and sleep quality was statistically significant (P<0.001); good sleep quality can alleviate the prediction effect of mobile phone anxiety on anxiety and provide reference for promoting the physical and mental health development of adolescents.…”
Get full text

The Mathematical Modeling Approach for the Wastewater Treatment Process in Saudi Arabia during COVID-19 Pandemic by Abdullah Ahmadini, Ahmed Msmali, Zico Mutum, Yashpal Singh Raghav

“…The mathematical distributions, including the log-normal distribution, Gaussian model, and susceptible-exposed-infected-recovered (SEIR) model, are adopted to predict the coronavirus load in wastewater plants. …”
Get full text

Aplicação de teorias de aprendizagem social baseadas na prática no debate da mudança climática: avaliação do papel do setor privado em iniciativas de descarbonização no Brasil... by Daniele Vieira do Nascimento

Get full text