Strategy Analysis of Seamlessly Resolving Turbulent Flow Simulations by Stefan Heinz

“…Modeling of wall-bounded turbulent flows, in particular the hybridization of the Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation (LES) methods, has faced serious questions for decades. …”
Get full text

An accurate analytical model and application method for squirt flow in anisotropic fractured rocks by Yiwei Chen, Pingchuan Dong, Youheng Zhang

Get full text

Mathematical modeling of the drying of orange bagasse associating the convective method and infrared radiation by Carolina M. Sánchez-Sáenz, Vânia R. G. Nascimento, João D. Biagi, Rafael A. de Oliveira

Get full text

A malware detection method with function parameters encoding and function dependency modeling by Ronghao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng

Get full text

Shock Transfer in Futures and Spot Markets: An Agent-Based Simulation Modelling Method by Xuan Zhou, Menggang Li

Get full text

An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

Get full text

Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

“…Aiming at the difficulty of precise fault identification and quantification for heat exchangers in multiple unknown failure modes, a data-model fusion-driven fault quantitative diagnosis method is proposed. …”
Get full text

Cloud model-based unconventional risk assessment method for flexible distribution system by Shaotao Guo, Peng Ye, Jinhang Shan, Yi Liang, Zhentao Han, Qixiang Wang, Na Zhang

“…This paper proposes an unconventional risk assessment method for flexible distribution system based on cloud model. …”
Get full text

Study on construction method of three-dimensional numerical model of coal with fracture structure by Zixin ZHANG, Yang YU, Jiandong YU, Zengjie NIU, Ding LANG, Yao ZHANG

“…The threshold segmentation of coal sample slices is carried out by using the combined methods of CT scanning, rock mechanics experiment, image processing technology and RFPA3D-CT to extract the three-dimensional fracture structure of coal sample, establish a three-dimensional numerical model that is basically consistent with the internal fracture structure and mechanical properties of the studied coal sample, and embed RFPA3D-CT for uniaxial loading numerical simulation analysis. …”
Get full text

A Convex Variational Interactive Model with Projection Method for Digital Images Partitioning by Abdul Kadir Jumaat, Mohamed Ammareza Mohamed Shariff, Nuruljannah Khairunnizam

“… Digital image partitioning separates the foreground of an image from the background for subsequent analysis. In literature, the variational global model is frequently employed for digital images partitioning; however, it has been shown to underperform when the targeted object is situated near a neighbouring object. …”
Get full text

An Equivalent Modeling Method for Electromagnetic Radiation of PWM Fans with Multiple Radiation Sources by Jinsheng Yang, Xuan Zhao, Jingxuan Xia, Wei Zhang, Pingan Du, Baolin Nie

“…Due to its multiple radiation sources and relatively smaller size compared to the equipment, the radiation prediction model for equipment-level EMC analysis often involves a huge number of grids, which leads to computational difficulties and inefficiencies, and thus an equivalent modeling method for the electromagnetic radiation of PWM fan is presented. …”
Get full text

ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models by Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-Garcia, Mario A. T. Figueiredo

“…Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are. …”
Get full text

Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

“…Deep Forest shows high performance and can avoid the black box problem of DL without relying on other tools in DL, providing a new perspective for the development and application of other non‐neural network DL models for mineral prediction. Feature importance analysis shows that geological structure and magmatism significantly influence PCD prediction. …”
Get full text

Mathematical Modeling of Traffic Flow in Kampala City Using the Moving Observer Method by Okiza,Humphrey, Muhwezi, Lawrence, Omwonylee, Okello Joseph, Awichi, Richard Opaka, Nuwagaba, Savannah

“…Data on traffic density, speeds, and driver behaviors were collected for a period of 20 days from five selected road sections leading into and out of the city which included traffic on Entebbe Road, Jinja road, Sir Apollo Kaggwa Road, Yusuf Lule and Wandegeya roads using the moving observer method. Regression analysis was done to identify the relationships between the variables, leading to the development of a predictive model for traffic flow. …”
Get full text

Geographic knowledge graph-guided twin modeling method for complex city scene by Zhihao Guo, Jun Zhu, Jinbin Zhang, Jianlin Wu, Yukun Guo, Fanxu Huang, Jiahao Li, Weilian Li, Bingli Xu

“…Based on this method, a prototype system was developed for an urban park, and experimental analysis was conducted. …”
Get full text

A Review of Methods and Challenges for Wind Measurement by Small Unmanned Aerial Vehicles by Mohammadamin Soltaninezhad, Roberto Monsorno, Stefano Tondini

“…Alternatively, the simplest version of the indirect method, namely the tilt model, is a common choice.…”
Get full text

MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective. …”
Get full text

Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method by Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

“…Because the geometry of a reciprocating compressor is irregular, COMSOL, a finite element analysis software, is adopted. In order to explore the acoustical performance, a mathematical model is established using a finite element method via the COMSOL commercialized package. …”
Get full text

An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…Intelligent proxy models for the prediction of proppant placement patterns were established on the basis of the cascade neural network, including a time-concentration model for predicting particle volume fraction and a displacement-height model for predicting particle placement height. …”
Get full text

An Autoregressive-Based Motor Current Signature Analysis Approach for Fault Diagnosis of Electric Motor-Driven Mechanisms by Roberto Diversi, Alice Lenzi, Nicolò Speciale, Matteo Barbieri

Subjects: Get full text