Results 201 to 210 of about 118,631 (311)

A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment. [PDF]

Sci Rep
Wei X, Dong Y.
europepmc   +1 more source

Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering

, 2018
Mengmeng Wang, Lee‐Ling Sharon Ong, Justin Dauwels, Haruhiko Asada   +3 more
openalex   +1 more source

Environmental data-driven dynamic Bayesian network for risk performance evolution in China's coastal shipping

Chun ZOU, Shenping Hu, Lijia Chen
openalex   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools. [PDF]

Front Syst Biol
Canonaco F, Gaudillo J, Astrologo N, Stella F, Acerbi E.   +4 more
europepmc   +1 more source

Data variability in neural network Bayesian inference

Lindner, Javed, Dahmen, David, Krämer, Michael, Helias, Moritz   +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

Integrating Machine Learning and Dynamic Bayesian Networks to Identify the Factors Associated with Subsequent Intrapulmonary Metastasis Classification After Initial Single Primary Lung Cancer. [PDF]

Cancers (Basel)
Liu W, Chang ATC, Chan JWY, Chan JCS, Lau RWH, Mok TSK, Ng CSH.   +6 more
europepmc   +1 more source

From information to evidence in a Bayesian network

, 2019
Ali Ben Mrad, Véronique Delcroix, Sylvain Piechowiak (7183376), Philip A. Leicester   +3 more
openalex   +1 more source

From Bayesian Inference to Neural Computation: The Analytical Emergence of Neural Network Structure from Probabilistic Relevance Estimation

Jaepil Jeong
openalex   +1 more source