Results 91 to 100 of about 3,821,405 (172)

Seismic liquefaction potential assessment by using Relevance Vector Machine

, 2007
Determining the liquefaction potential of soil is important in earthquake engineering. This study proposes the use of the Relevance Vector Machine (RVM) to determine the liquefaction potential of soil by using actual cone penetration test (CPT) data. RVM
Samui, Pijush
core  

Gear fault detection based on adaptive wavelet packet feature extraction and relevance vector machine

, 2011
In this article, a novel fault detection method based on adaptive wavelet packet feature extraction and relevance vector machine (RVM) is proposed for incipient fault detection of gear.
C Liu, C He, X F Zha, N Li, Y Li
core   +1 more source

Prediction of Recycle Method using Relevance Vector Machine

, 2011
Life cycle engineering is the engineering and design of products and processes to minimize the cost and environmental impact for the life cycle phases of a product.
K., Kadirgama, M. M., Noor, M. M., Rahman, M. A., Maleque   +3 more
core   +2 more sources

Abstracts of the 18th SCWD Conference, 11‐13 December 2025 in Rome/Italy

JCSM Communications, Volume 9, Issue 1, January/June 2026.
wiley   +1 more source

Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach

, 2009
This study investigates the potential of Relevance Vector Machine (RVM)-based approach to predict the ultimate capacity of laterally loaded pile in clay. RVM is a sparse approximate Bayesian kernel method.
Choudhury, Deepankar, Samui, Pijush, Bhattacharya, Gautam   +2 more
core  

Density based Image Background Removal with Relevance Vector Machine

, 2016
Image background modeling and removal is a natural technique for object detection in videos. A pixel wise background modeling and removal technique using various gradients is involved in classification.
Mageswari, T. Uma
core  

ROLLING BEARING FAULT DIAGNOSIS BASED ON VARIATIONAL MODAL DECOMPOSITION AND LFOA-RVM

Jixie qiangdu, 2018
Aiming at the fault diagnosis problem of rolling bearing, a fault diagnosis method of rolling bearing based on variational modal decomposition（VMD）, improved fruit fly optimize algorithm（LFOA） and relevance vector machine（RVM） was proposed.
CHEN Wan
doaj  

Fault Diagnosis Method of Bearing based on LCD Cross Approximate Entropy and Relevance Vector Machine

Jixie chuandong, 2017
Aiming at the fault diagnosis problem of rolling bearing,a fault diagnosis method of rolling bearing based on local characteristic-scale decomposition（LCD） cross approximate entropy（CAE） and relevance vector machine（RVM） is proposed.
Tan Jingjing, Gao Feng, Zhang Qiantu
doaj  

Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm. [PDF]

Sci Rep, 2023
Su Y, Ye W, Yang K, Li M, He Z, Xiao Q.
europepmc   +1 more source

Simulation-informed kernel-based regression models for predicting temperature distribution in microwave hyperthermia. [PDF]

Sci Rep
Alazwari MA, Abu-Hamdeh NH, Almitani KH.
europepmc   +1 more source