Results 191 to 200 of about 235,639 (329)

A dynamic decision-making approach for cabin unlawful interference emergency disposal using dynamic Bayesian network. [PDF]

Sci Rep
Wu Y, He S, Shi J.
europepmc   +1 more source

Dynamic Bayesian network in infectious diseases surveillance: a simulation study. [PDF]

Sci Rep, 2019
Zhang T, Ma Y, Xiao X, Lin Y, Zhang X, Yin F, Li X.   +6 more
europepmc   +1 more source

Computational algorithm for dynamic hybrid Bayesian network in on-line system health management applications

, 2014
Chonlagarn Iamsumang, Ali Mosleh, Mohammad Modarres   +2 more
openalex   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm. [PDF]

Sci Rep
Meng G, Cong Z, Li T, Wang C, Zhou M, Wang B.   +5 more
europepmc   +1 more source

A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles

, 2019
Kherroubi Zine el abidine, Aknine Samir, Rebiha Bacha   +2 more
openalex   +2 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Dynamic risk assessment of a coal slurry preparation system based on the structure-variable Dynamic Bayesian Network. [PDF]

PLoS One
Liu M, Wu L, Hou M.
europepmc   +1 more source

A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression. [PDF]

BMC Bioinformatics, 2019
Zandonà A, Vasta R, Chiò A, Di Camillo B.   +3 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source