Results 11 to 20 of about 532 (94)

Forecasting algorithm of tourism service trade based on PSO-optimized hybrid RVM model

EURASIP Journal on Advances in Signal Processing, 2021
As a comprehensive form of trade, tourism service trade has had a profound impact on the economies of various countries. This research mainly discusses the tourism service trade forecasting algorithm based on the PSO-optimized hybrid RVM model.
Xiaoying Dong, Xuanjun Chen
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Research on application of ReliefF and improved RVM in water quality grade evaluation

Water Science and Technology, 2022
ReliefF algorithm was used to analyze the weight of each water quality evaluation factor, and then based on the Relevance Vector Machine (RVM), Particle Swarm Optimization (PSO) was used to optimize the kernel width factor and hyperparameters of RVM to ...
Yu-Lin Gong, Ming-Jia Hu, Hui-Fang Yang, Bo Han   +3 more
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Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Geofluids, 2021
Aiming at the problems of low accuracy, low efficiency, and many parameters required in the current calculation of rock slope stability, a prediction model of rock slope stability is proposed, which combines principal component analysis (PCA) and ...
Lihua Huang, Liudan Mao, YiRong Zhu, YuLing Wang   +3 more
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Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm

Scientific Reports, 2023
A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
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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
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Accelerating Relevance Vector Machine for Large-Scale Data on Spark

ITM Web of Conferences, 2017
Relevance vector machine (RVM) is a machine learning algorithm based on a sparse Bayesian framework, which performs well when running classification and regression tasks on small-scale datasets. However, RVM also has certain drawbacks which restricts its
Liu Fang, Zhong Hao, Li Si-Han
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A New Hybrid Wind Power Forecaster Using the Beveridge-Nelson Decomposition Method and a Relevance Vector Machine Optimized by the Ant Lion Optimizer

Energies, 2017
As one of the most promising kinds of the renewable energy power, wind power has developed rapidly in recent years. However, wind power has the characteristics of intermittency and volatility, so its penetration into electric power systems brings ...
Sen Guo, Haoran Zhao, Huiru Zhao
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Evaluation of Noninvasive Respiratory Volume Monitoring in the PACU of a Low Resource Kenyan Hospital

Journal of Epidemiology and Global Health, 2020
This research aims to evaluate the use of the noninvasive respiratory volume monitor (RVM) compared to the standard of care (SOC) in the Post-Anesthesia Care Unit (PACU) of Kijabe Hospital, Kenya.
Kendall J. Burdick, Muchai Stephen Thuo, Xiaoke Sarah Feng, Matthew S. Shotwell, Joseph J. Schlesinger   +4 more
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Rheological properties of cemented paste backfill and the construction of a prediction model

Case Studies in Construction Materials, 2022
The Cemented Paste Backfill (CPB) yield stress is a key rheological parameter for paste filling technology, which has significant practical value for pipeline optimization and equipment selection of pipeline conveying systems.
Yonghui Niu, Haiyong Cheng, Shunchuan Wu, Junlong Sun, Jiaxin Wang   +4 more
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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
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