Search
Search Results
-
Prediction on compression indicators of clay soils using XGBoost with Bayesian optimization
The determination of the compressibility of clay soils is a major concern during the design and construction of geotechnical engineering projects....
-
Prediction of Compression Coefficients Based on Machine Learning: A Case of Offshore Wind Farm Site
Machine learning methods have a wide range of applications, including predicting soil compression coefficients for offshore wind power projects. This...
-
Evaluation of Creep Indicators of Plastic-Frozen Soil According to Laboratory and Field Tests
This article discusses the possibility of determining the creep indices of plastic-frozen soils using laboratory and field methods, as well as the...
-
Peak stress and peak strain evaluation of concrete columns confined with lateral ties under axial compression by artificial neural networks
The peak stress and peak strain of concrete columns confined with lateral stirrups were important indicators for evaluating the load-bearing capacity...
-
Numerical simulation and experimental study on axial compression electromagnetic bulging of aluminum alloy tube
Aiming at the problem pertaining to small area at the end of the tube and the asynchronous rate of traditional mechanical forming and electromagnetic...
-
Compression-Based Data Augmentation for CNN Generalization
Nowadays, deep learning is widely exploited in various fields due to its ability to solve complex problems. These networks have proven their...
-
Pum** and Compression Stations of Pipelines
It is not possible to transport fluids through pipelines using only gravity as the driving force. Additionally, the pressure applied at the entrance...
-
A lossless compression and encryption scheme for sequence images based on 2D-CTCCM, MDFSM and STP
This paper proposes a lossless compression and encryption algorithm for sequence images based on adaptive inter-frames coding. This method can use...
-
Estimation of Sand Grains Crushing Rate Under Uniaxial Compression Loading
Understanding and controlling of granular materials behaviour require knowledge of their characteristics and the phenomenon associated with them....
-
Adaptive Digital Image Compression
The article is devoted to the transformation of digital images based on their adaptive compression during processing and transmission in real time....
-
Invariant Coordinates and Surge Indicators
So far, the description and analysis of pumps and compressors are all based on a qualitative understanding of the head, flow, and speed relationship...
-
Intelligent prediction methods for N–M interaction of CFST under eccentric compression
Machine learning (ML), as a promising artificial intelligence method, gradually begins to be applied in predicting the behavior of structural members...
-
A Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks
In recent years, related research has focused on how to safely transfer and protect the privacy of images in social network services while providing...
-
Compression of images with a mathematical approach based on sine and cosine equations and vector quantization (VQ)
Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in...
-
Test Study on Axial Compression Behavior of GCFST Columns Under Unidirectional Repeated Load
Geopolymer concrete is one of the directions of green development in the construction industry, and casting geopolymer concrete inside steel tubes...
-
Experimental Study on the Hysteretic Behavior of Replaceable Mild Steel Dissipaters Under Cyclic Tensile–Compression Loading
The energy-dissipation mechanism of an external replaceable mild steel energy dissipater suitable for self-centering hybrid connections under...
-
Influence of wagon body flexural deformation on the indicators of interaction with the railroad track
The article is devoted to the study of the influence of flexural deformation of the body of a freight wagon on the indicators of the interaction of...
-
Modelling of Gasoline Direct-Injection Compression Ignition Engines
With the development of low-temperature engine combustion strategies, the performance of gasoline-type fuels under compression ignition conditions...
-
Machine learning models for predicting the axial compression capacity of cold‑formed steel elliptical hollow section columns
This study presents the performance of three machine learning (ML) models including gradient boosting regression trees (GBRT), artificial neural...
-
Fatigue life prediction of concrete under cyclic compression based on gradient boosting regression tree
With the development of reinforced concrete bridges, the fatigue problem of concrete has attracted extensive attention. Failure occurs when concrete...
