Results 161 to 170 of about 523,565 (314)

Dynamic collision estimator for collaborative robots: A dynamic Bayesian network with Markov model for highly reliable collision detection

, 2023
Junmin Park, Taehoon Kim, Chengyan Gu, Yoon Kyoo Kang, Joono Cheong   +4 more
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

Construction of a Bayesian network-based risk prediction model for hepatocellular carcinoma in cirrhotic patients. [PDF]

Front Oncol
Ma N, Song J, Yang Y.
europepmc   +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

A multimodal Bayesian network for symptom-level depression and anxiety prediction from voice and speech data. [PDF]

Sci Rep
Norbury A, Fairs G, Georgescu AL, Nour MM, Molimpakis E, Goria S.   +5 more
europepmc   +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

Integrative Bayesian Network Analysis of Genomic Data

Cancer Informatics, 2014
Yang Ni, Francesco C. Stingo, Veerabhadran Baladandayuthapani   +2 more
doaj  

Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection

, 2007
Marco Mamei, Radhika Nagpal
openalex   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +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