Results 91 to 100 of about 846,274 (324)

Variational Bayesian inversion for microwave breast imaging

Computer Assisted Methods in Engineering and Science, 2017
Microwave imaging is considered as a nonlinear inverse scattering problem and tackled in a Bayesian estimation framework. The object under test (a breast affected by a tumor) is assumed to be composed of compact regions made of a restricted number of ...
Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari   +3 more
doaj   +1 more source

A New Stochastic Process of Prestack Inversion for Rock Property Estimation

Applied Sciences, 2022
In order to enrich the current prestack stochastic inversion theory, we propose a prestack stochastic inversion method based on adaptive particle swarm optimization combined with Markov chain Monte Carlo (MCMC).
Long Yin, Sheng Zhang, Kun Xiang, Yongqiang Ma, Yongzhen Ji, Ke Chen, Dongyu Zheng   +6 more
doaj   +1 more source

Bayesian spatiotemporal modeling for inverse problems

Statistics and Computing, 2023
38 pages, 23 ...
Shiwei Lan, Shuyi Li, Mirjeta Pasha
openaire   +2 more sources

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source

Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data

Applied Sciences
To investigate deep Earth information, researchers often utilize geomagnetic observatories and satellite data to obtain the conversion function of geomagnetic sounding, C-response data, and employ traditional inversion techniques to reconstruct ...
Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao   +4 more
doaj   +1 more source

A method of seismic meme inversion and its application

Petroleum Exploration and Development, 2020
Under the condition of thin interbeds with great lateral changes in terrestrial basins, a seismic meme inversion method is established based on the analysis of seismic sedimentology technology. The relationship between seismic waveform and high-frequency
Yanhu CHEN, Jianjun BI, Xiaobin QIU, Youbing CHEN, Hui YANG, Jiajia CAO, Yongxiang DI, Haishan ZHAO, Zhixiang LI   +8 more
doaj   +1 more source

Examining the Impact of Row Planting on Labor Use for Sustainable Food Production Among Maize Farmers in Rural Ghana

Agribusiness, EarlyView.
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah, Habtamu Alem, Abdulai Adams, Tomáš Ratinger, Miroslava Bavorová   +4 more
wiley   +1 more source

A method of geo-acoustic parameter inversion in shallow sea by the Bayesian theory and the acoustic pressure field [PDF]

MATEC Web of Conferences, 2019
A method of geo-acoustic parameter inversion based on the Bayesian theory is proposed for the acquisition of acoustic parameters in shallow sea with the elastic seabed.
Zheng Guangxue, Zhu Hanhao, Zhu Jun
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique

Scientific Reports, 2022
Characterizing complex fluvial-deltaic deposits is a challenging task for finding hydrocarbon discoveries. We described a methodology for predicting the hydrocarbon zones from complex well-log and prestack seismic data.
M. Nagendra Babu, Venkatesh Ambati, Rajesh R. Nair   +2 more
doaj   +1 more source