Results 151 to 160 of about 70,734 (340)
Non-Convex Priors In Bayesian Compressed Sensing
, 2009 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
Babacan, Sevket Derin +3 more
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Energy Science &Engineering, EarlyView.This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 more
wiley +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration [PDF]
, 2018 Xinjie Lan, Xin Guo, Kenneth E. Barner
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FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
Bayesian compressive sensing for ultrawideband inverse scattering in random media [PDF]
, 2014 Ahmed E Fouda, Fernando L Teixeira
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The Impact of Uncertainty on Forecasting the US Economy
Journal of Forecasting, EarlyView.ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
Bayesian online compressed sensing
Bayesian online compressed sensingidentifier:oai:t2r2.star.titech.ac.jp ...
openaire
Notable Impact of Paleotectonic Stress on Gold Mineralisation in the West Qinling Orogen
Geological Journal, EarlyView.By applying fuzzy clustering and multiple inverse methods, we systematically processed the data of vein and fault slip in this ore deposit to reveal the transition of orogenic geological environment and paleotectonic stress field. Our research results show two different stress states: the northwest–southeast extensional stress field and the northeast ...
Hongyan Wang +3 more
wiley +1 more source