Results 211 to 220 of about 235,639 (329)

Reliability Assessment of Deflection Limit State of a Simply Supported Bridge using vibration data and Dynamic Bayesian Network Inference. [PDF]

Sensors (Basel), 2019
Liu H, He X, Jiao Y, Wang X.
europepmc   +1 more source

The Dynamic Relationship between Macroeconomy and Stock Market in China: Evidence from Bayesian Network

, 2021
Yue Liu, Haoyuan Feng, Kun Guo
openalex   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Dynamic Bayesian Network for Accurate Detection of Peptides from Tandem Mass Spectra. [PDF]

J Proteome Res, 2016
Halloran JT, Bilmes JA, Noble WS.
europepmc   +1 more source

Dynamic bayesian networks modelling maintenance strategies: Prevention of broken rails

, 2008
Laurent Bouillaut, Olivier François, Philippe Leray, Patrice Aknin, Stéphane Dubois   +4 more
openalex   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method. [PDF]

Oncotarget, 2017
Yu B, Xu JM, Li S, Chen C, Chen RX, Wang L, Zhang Y, Wang MH.   +7 more
europepmc   +1 more source

A hybrid factored frontier algorithm for dynamic Bayesian network models of biopathways

, 2011
Sucheendra K. Palaniappan, S. Akshay, Blaise Genest, Thiagarajan, P.S.   +3 more
openalex   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Intuitionistic Fuzzy Dynamic Bayesian Network and its Application to Terminating Situation Assessment

, 2019
Lin Wang, Hai Yang, Shuai Wen Zhang, Hai Huang, Jun Zhou   +4 more
openalex   +1 more source