Use Dynamic Bayesian network to estimate the reliability of Adamia Water Network
لميعة باقر جواد +1 more
openalex +1 more source
Bayesian-driven autonomous defense adaptive consensus optimisation for blockchain networks. [PDF]
Bhore SS, Natraj NA, Hallur GG.
europepmc +1 more source
Iterative design of a NAND hybrid riboswitch by deep batch Bayesian optimization. [PDF]
Kelvin D +4 more
europepmc +1 more source
Network-Driven Insights into Plant Immunity: Integrating Transcriptomic and Proteomic Approaches in Plant-Pathogen Interactions. [PDF]
Lv Y, Fan G.
europepmc +1 more source
Uncovering Dynamic Neural Information Flow with Continuous-Time Weighted Dynamic Bayesian Networks
Alec Graham Sheffield +4 more
openalex +1 more source
"A novel adaptive gesture recognition framework for bionic hands using Stacked Autoencoder (SAE), Adaptive Bayesian Feature Selection (ABFS), MODWT, and Hybrid sEMG-MMG Sensor Modality". [PDF]
Yadav AP, Patil SR.
europepmc +1 more source
Heterogeneous trajectories of intrinsic capacity and their predictors: a Bayesian network analysis of a longitudinal cohort in Chinese nursing homes. [PDF]
Su H, Wang Y, Zhang Y, Qi X.
europepmc +1 more source
Related searches:
Underground transportation systems are in great demand in many large cities all over the world. Tunnel construction has presented a powerful momentum for rapid economic development worldwide. However, owing to various risk factors in complex project environments, safety violations occur frequently in tunnel construction, leading to large problems on ...
Limao Zhang +3 more
openaire +1 more source
Dynamic Bayesian Neural Networks
2020We define an evolving in time Bayesian neural network called a Hidden Markov neural network. The weights of a feed-forward neural network are modelled with the hidden states of a Hidden Markov model, whose observed process is given by the available data.
Rimella, Lorenzo, Whiteley, Nick
openaire +1 more source

