Results 251 to 260 of about 2,810,332 (372)

Effect of calibration errors on Bayesian parameter estimation for gravitational wave signals from inspiral binary systems in the advanced detectors era [PDF]

, 2012
S. Vitale, W. Del Pozzo, Tjonnie G. F. Li, Chris Van Den Broeck, Ilya Mandel, B. E. Aylott, J. Veitch   +6 more
openalex   +1 more source

Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

Vision Research, 2016
Heiko H. Schütt, S. Harmeling, J. Macke, Felix Wichmann   +3 more
semanticscholar   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Flexible Bayesian estimation of incubation times

, 2023
Gressani O, Torneri A, Hens N, Faes C.
europepmc   +1 more source

Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation [PDF]

Yidong Zhao, João Tourais, Iain Pierce, Christian Nitsche, Thomas A. Treibel, Sebastian Weingärtner, Artur M. Schweidtmann, Qian Tao   +7 more
openalex   +1 more source

Compressive Sensing Based Bayesian Sparse Channel Estimation for OFDM Communication Systems: High Performance and Low Complexity [PDF]

, 2014
Guan Gui, Li Xu, Lin Shan, Fumiyuki Adachi   +3 more
openalex   +1 more source

Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through

, 2006
Malin Adolfson, Stefan Laséen, J. Lindé, M. Villani   +3 more
semanticscholar   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster-Level Interaction Effects and Small Sample Sizes. [PDF]

Stat Med
Shin D, Shin Y, Hagiwara N.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source