Results 151 to 160 of about 529,167 (319)

Comparative Safety of Intravenous Sedatives for Bronchoscopy: A Bayesian Network Meta-Analysis. [PDF]

Yonsei Med J
Lee J, Song JU.
europepmc   +1 more source

Late-Time Resolution of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks

Muhammad Yarahmadi, A. Salehi
openalex   +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

Correction: Minimum uncertainty as Bayesian network model selection principle. [PDF]

BMC Bioinformatics
Gogoshin G, Rodin AS.
europepmc   +1 more source

Prior Performance and Risk-Taking of Mutual Fund Managers: A Dynamic Bayesian Network Approach

, 2009
Manuel Ammann, Michael Verhofen
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

Comparing the sleep benefits of Nature-Based Interventions: Evidence from a Bayesian Network meta-analysis. [PDF]

iScience
Ma C, Shah AM, Chen W, Li Z, Peng Y, Wu R, Du X, Li H, Lv B, Liu S, Chen Q.   +10 more
europepmc   +1 more source

Bayesian Network Modeling and Monte Carlo Simulation for Preventive Maintenance Optimization: Application to the HTR-PM Helium Circulator

Zefeng Li, Tao Liu, Jiejuan Tong, Hong Wang   +3 more
openalex   +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

The impact of different exercise modes on prostate cancer: a Bayesian network meta-analysis. [PDF]

Sci Rep
Liu J, Li Q, Han Y.
europepmc   +1 more source