Results 61 to 70 of about 3,821,405 (172)

Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning

International Journal of Antennas and Propagation, 2014
A spatial filtering-based relevance vector machine (RVM) is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA), with the filter parameters and DOA estimates initialized and refined via sparse Bayesian ...
Zhang-Meng Liu, Zheng Liu, Dao-Wang Feng, Zhi-Tao Huang   +3 more
doaj   +1 more source

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

Remote Sensing, 2018
This research aims at proposing a new artificial intelligence approach (namely RVM-ICA) which is based on the Relevance Vector Machine (RVM) and the Imperialist Competitive Algorithm (ICA) optimization for landslide susceptibility modeling.
Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Nhat-Duc Hoang, Binh Thai Pham, Quang-Thanh Bui, Chuyen-Trung Tran, Mahdi Panahi, Baharin Bin Ahamd, Lee Saro   +10 more
doaj   +1 more source

Multivariate Seawater Quality Prediction Based on PCA-RVM Supported by Edge Computing Towards Smart Ocean

IEEE Access, 2020
Seawater quality prediction has a tremendous potential of enabling future smart ocean. However, this time-sensitive application puts forward a strict delay requirement, thus easily leading to overwhelmed networks.
Xiaochuan Sun, Xin Wang, Di Cai, Zhigang Li, Yuanyuan Gao, Xusheng Wang   +5 more
doaj   +1 more source

Busbar Fault Direction Identification Using Sequences of Displacement Vectors

Engineering Reports, Volume 8, Issue 2, February 2026.
In this paper, a novel busbar fault direction identification scheme is presented. The proposed scheme is based on sequences of displacement vectors. The proposed algorithm is fast and simple enough to be embedded in a differential relay to assist the percentage‐restraint differential algorithm.
Mostafa Sarlak
wiley   +1 more source

A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

BMC Bioinformatics, 2017
Background High-throughput sequencing data are widely collected and analyzed in the study of complex diseases in quest of improving human health. Well-studied algorithms mostly deal with single data source, and cannot fully utilize the potential of these
Kang K. Yan, Hongyu Zhao, Herbert Pang
doaj   +1 more source

Numerical Methods in Civil Engineering Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation

, 2020
: This study examines the capability of the Relevance Vector Machine ...
Mohamed A Shahin, Pijush Samui
core  

High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor

JOIV: International Journal on Informatics Visualization
Due to the discrepancy in resolution between existing global climate model output and the resolution required by decision-makers, there is a persistent need for climate downscaling.
Raghdah Rasyidah Abdul Rashid, Shazlyn Milleana Shaharudin, Nurul Ainina Filza Sulaiman, Nurul Hila Zainuddin, Hairulnizam Mahdin, Summayah Aimi Mohd Najib, Rahmat Hidayat   +6 more
doaj   +1 more source

Data–driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine

International Journal of Applied Mathematics and Computer Science, 2021
A modified lazy learning algorithm combined with a relevance vector machine (MLL-RVM) is presented to address a data-driven modelling problem for a gasification process inside a united gas improvement (UGI) gasifier.
Liu Shida, Ji Honghai, Hou Zhongsheng, Zuo Jiashuo, Fan Lingling   +4 more
doaj   +1 more source

Prediction of Compressive Strength of Various SCC Mixes Using Relevance Vector Machine [PDF]

, 2018
This paper discusses the applicability of relevance vector machine (RVM) based regression to predict the compressive strength of various self compacting concrete (SCC) mixes.
M. P. Muthuraj, G. Jayaprakash
core   +1 more source

Lane Change Prediction in Autonomous Driving: A Statistical Survey on Intention and Trajectory Forecasting

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This survey provides a unified and systematic review of lane‐change intention and trajectory prediction by analyzing over 150 studies across sensors, inputs, datasets, models, and evaluation practices, supported by comprehensive statistical insights. Our analysis reveals major gaps in interpretability, explainability, decision‐making integration, and ...
Mohamed Manzour, Rubén Izquierdo, Miguel Ángel Sotelo   +2 more
wiley   +1 more source