Results 31 to 40 of about 3,821,405 (172)
Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation [PDF]
Numerical Methods in Civil Engineering, 2014 This study examines the capability of the Relevance Vector Machine (RVM) and Multivariate Adaptive Regression Spline (MARS) for prediction of ultimate capacity of driven piles and drilled shafts.
Pijush Samui, Mohamed A. Shahin
doaj +1 more source
Healing the Relevance Vector Machine through Augmentation [PDF]
, 2005 The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties have the unintuitive property, that emphthey get smaller the further you ...
Quiñonero-Candela, J. ; https://orcid.org/ +1 more
core +1 more source
Prediction method of coal spontaneous combustion based on relevance vector machine
Gong-kuang zidonghua, 2020 In terms of coal spontaneous combustion degree prediction, the radial basis function (RBF) neural network method is complex in structure and easy to fall into local optimum, the kernel function based on support vector machine (SVM) is sensitive to ...
LIU Bao +4 more
doaj +1 more source
Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression
The Scientific World Journal, 2014 Proteins in living organisms express various important functions by interacting with other proteins and molecules. Therefore, many efforts have been made to investigate and predict protein-protein interactions (PPIs).
Mayumi Kamada +3 more
doaj +1 more source
World Electric Vehicle Journal, 2022 Accurate prediction of the remaining useful life of a lithium–ion battery (LiB) is of paramount importance for ensuring its durable operation. To achieve more accurate prediction with limited data, this paper proposes an RVM-GM algorithm based on dynamic
Jinrui Nan +3 more
doaj +1 more source
Journal of Marine Science and Engineering, 2021 Harmful algal blooms (HABs), events that kill fish, impact human health in multiple ways, and contaminate water supplies, have increased in frequency, magnitude, and impacts in numerous marine and freshwaters around the world.
Marvin F. Li +2 more
doaj +1 more source
RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization
EURASIP Journal on Image and Video Processing, 2009 Detection of abnormal human actions in the crowd has become a critical problem in video surveillance applications like terrorist attacks. This paper proposes a real-time video surveillance system which is capable of classifying normal and abnormal ...
V. Abhaikumar +4 more
doaj +2 more sources
Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model
Scientific Reports, 2022 The development of miniature air quality detectors makes it possible for humans to monitor air quality in real time and grid. However, the accuracy of measuring pollutants by miniature air quality detectors needs to be improved.
Bing Liu, Yirui Zhang
doaj +1 more source
High Voltage, EarlyView.ABSTRACT Oil‐immersed power equipment is a critical component for energy transmission and secure operation of modern power grids. The ageing of oil–paper insulation under combined electrical, thermal and mechanical stresses directly affects equipment lifetime and system reliability. This paper presents a comprehensive review of the ageing behaviour and
Ruijin Liao +6 more
wiley +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, Volume 13, Issue 56, 9 October 2026.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source