Results 181 to 190 of about 17,602 (258)

Multi-frequency sparse Bayesian learning for robust matched field processing. [PDF]

J Acoust Soc Am, 2017
Gemba KL, Nannuru S, Gerstoft P, Hodgkiss WS.   +3 more
europepmc   +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos, Bastien François, Irene Schicker, Kirien Whan, Elisa Perrone   +4 more
wiley   +1 more source

Underdetermined Wideband DOA Estimation for Off-Grid Sources with Coprime Array Using Sparse Bayesian Learning. [PDF]

Sensors (Basel), 2018
Qin Y, Liu Y, Liu J, Yu Z.
europepmc   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Compressed-Sensing Reconstruction Based on Block Sparse Bayesian Learning in Bearing-Condition Monitoring. [PDF]

Sensors (Basel), 2017
Sun J, Yu Y, Wen J.
europepmc   +1 more source

Low-Complexity Channel Estimation for Internet of Vehicles AFDM Communications With Sparse Bayesian Learning [PDF]

Li, Xiangxiang, Wang, Haiyan, Ge, Yao, Shen, Xiaohong, Wen, Miaowen, Zhang, Shun, Guan, Yong Liang   +6 more
openalex  

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source

A Sparse Bayesian Learning Algorithm for Longitudinal Image Data. [PDF]

Med Image Comput Comput Assist Interv, 2015
Sabuncu MR.
europepmc   +1 more source

Generalized Swept Approximate Message Passing based Kalman Filtering for Dynamic Sparse Bayesian Learning

, 2020
Christo Kurisummoottil Thomas, Dirk Slock   +1 more
openalex   +2 more sources

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source