Results 241 to 250 of about 2,810,332 (372)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis

, 2020
K. C. Flórez, Ana Corberán‐Vallet, Adina Iftimi, José D. Bermúdez   +3 more
openalex   +2 more sources

Bayesian Estimation of Agent-Based Models

, 2017
J. Grazzini, Matteo G. Richiardi, M. Tsionas   +2 more
semanticscholar   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Bayesian Estimation of Individual Gray Whale Space Use Reveals Differential Exposure to Stressors. [PDF]

Ecol Evol
Hildebrand L, New L, Pirotta E, Stewart JD, Hildebrand I, Newell C, Bierlich KC, Bird CN, Fernandez Ajó A, Turek D, Torres LG.   +10 more
europepmc   +1 more source

Bayesian methods for solving estimation and forecasting problems in the high-frequency trading environment

Paul Bilokon
openalex   +1 more source

Bayesian and Classical Estimation of Stress-Strength Reliability for Inverse Weibull Lifetime Models [PDF]

, 2017
Qixuan Bi, Wenhao Gui
openalex   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Influence of multiple network structures on bayesian estimation of peer effects and statistical power for generalized linear network autocorrelation models. [PDF]

Appl Netw Sci
Chen G, O'Malley AJ.
europepmc   +1 more source

Robust Angle Estimation in MIMO Radar under Impulsive noise via Fast Bayesian Tensor Decomposition with Intra-Dimension Correlation

Jinli Chen, Yang Song, Hua Shao, Jiaqiang Li   +3 more
openalex   +1 more source