Results 51 to 60 of about 3,821,405 (172)

Forecasting Groundwater Level Based on Relevance Vector Machine

, 2010
Relevance Vector Machine (RVM) is a novel kernel method based on sparse Bayesian, which has many advantages such as its kernel functions without the restriction of Mercer’s conditions, and the relevance vectors are automatically determined and have fewer
Wei Guo Zhao, Li Ying Wang
core   +1 more source

Fault Diagnosis of Bearing by Utilizing LWT-SPSR-SVD-Based RVM with Binary Gravitational Search Algorithm

Shock and Vibration, 2018
The fault diagnosis method of bearing based on lifting wavelet transform (LWT)-self-adaptive phase space reconstruction (SPSR)-singular value decomposition (SVD)-based relevance vector machine (RVM) with binary gravitational search algorithm (BGSA) is ...
Sheng-wei Fei
doaj   +1 more source

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action

Comprehensive Physiology, Volume 16, Issue 2, April 2026.
Vagus nerve stimulation (VNS) effects span central and peripheral organ systems through diverse mechanistic pathways. This comprehensive review provides a unified synthesis of these mechanisms across neurological, cardiovascular, immunological, metabolic, and gastrointestinal domains, filling a critical gap and serving as a foundational resource for ...
Yifeng Bu, Alex Liang, Benjamin U. Hoffman, Dawn M. Schiehser, Oliver Case, Alan Simmons, Ruth Klaming, Andres Gottfried‐Blackmore, Ravinder K. Mittal, Christopher Puleo, Hubert Lim, Imanuel Lerman   +11 more
wiley   +1 more source

Block-Adaptive Kernel-Based CDMA Multiuser Detector

, 2002
The paper investigates the application of a recently introduced learning technique, called the relevance vector machine (RVM) to construct a block-adaptive kernel-based nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (
Hanzo, L., Chen, S.
core   +1 more source

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

Engineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin, Ansa Mubarak, Saba Waseem, Zuhair A. Alqarni, Habib Ullah Manzoor   +4 more
wiley   +1 more source

Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam

Applied and Environmental Soil Science, 2021
Soil erosion induced by rainfall under prevailing conditions is a prominent problem to farmers in tropical sloping lands of Northeast Vietnam. This study evaluates possibility of predicting erosion status by machine learning models, including fuzzy k ...
Tuan Vu Dinh, Nhat-Duc Hoang, Xuan-Linh Tran   +2 more
doaj   +1 more source

Hybrid NDT‐Machine Learning Framework With SHAP‐Based Interpretation for Predicting Compressive Strength of Steel Slag Concrete

Engineering Reports, Volume 8, Issue 4, April 2026.
This study proposes a hybrid non‐destructive testing (NDT) and machine learning framework to predict the compressive strength of steel slag concrete. The integration of UPV, Rebound Hammer, and mixture parameters with interpretable ANN modeling enables accurate, sustainable, and explainable strength assessment for in situ concrete evaluation.
Matiur Rahman Raju, M. Tamim Parvez Tapu, Hasib Ahmed, Syed Ishtiaq Ahmad, Md. Mehedi Hasan, Md. Shahrior Alam, Mohammed Salauddin, Md. Shafiqur Rahman, Saif Ahmed Santo   +8 more
wiley   +1 more source

The relevance vector machine technique for channel equalization application

, 2001
The recently introduced relevance vector machine (RVM) technique is applied to communication channel equalization. It is demonstrated that the RVM equalizer can closely match the optimal performance of the Bayesian equalizer, with a much sparser kernel ...
Gunn, S.R., Harris, C.J., Chen, S.
core   +1 more source

Non‐Invasive Brain Stimulation in Chronic Pain: Current Evidence, Network Perspectives and Paths to Personalization

Sensory Neuroscience, Volume 2, Issue 1, March 2026.
Chronic pain reflects maladaptive network interactions across sensory, salience/affective, and descending modulatory pathways. We review evidence for non‐invasive brain stimulation—rTMS, tES, and low‐intensity focused ultrasound—highlighting modest, variable, and often short‐lived analgesic effects under conventional protocols.
Fabian Broecker, Sven Vanneste
wiley   +1 more source

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

, 2016
The forecasting of evaporative loss (E) is vital for water resource management and understanding of hydrological process for farming practices, ecosystem management and hydrologic engineering.
Deo, Ravinesh C., Kim, Dookie, Samui, Pijush   +2 more
core   +1 more source