Results 91 to 100 of about 5,309,030 (392)
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Optimzation design of resonance changer for marine propulsion shafting in longitudinal vibration
Zhongguo Jianchuan Yanjiu, 2019 [Objectives] The transmission path of the longitudinal vibration of propeller shafting can be changed and the base response attenuated via a Resonance Changer(RC)integrated in the thrust bearing, enabling the natural frequency of the shafting to be ...
Hu Zechao +4 more
doaj +1 more source
Study on Design Constraints of Conjugated Straight-Line Internal Gear Pair
Machines, 2023 In order to solve the problem that the design constraints of the conjugated straight-line internal gear pair are unclear, the designing and checking of gear pairs requires repeated trial and error.
Yundong Liang +3 more
doaj +1 more source
Noise sustained propagation: Local versus global noise
, 2000 We expand on prior results on noise supported signal propagation in arrays of coupled bistable elements. We present and compare experimental and numerical results for kink propagation under the influence of local and global fluctuations.
Chatterjee, N. +4 more
core +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
AIP Advances, 2022 In this research, we analyze the acoustic–vibration coupling of liquid-filled cylindrical shells under complex excitations. A calculation model to determine the acoustic characteristics and steady-state response of a cylindrical shell coupled to an ...
Suwei Yuan +3 more
doaj +1 more source
Membranes, 2022 Polyurethane dielectric elastomer (PUDE), a typical representative of emerging intelligent materials, has advantages, such as good elasticity and flexibility, fast response speed, high electromechanical conversion efficiency, and strong environmental ...
Gang Lu +3 more
doaj +1 more source
International Journal of Environmental Research and Public Health, 2018 To update the current state of evidence and assess its quality, we conducted a systematic review on the effects of environmental noise exposure on the cardio-metabolic systems as input for the new WHO environmental noise guidelines for the European ...
Elise van Kempen +3 more
semanticscholar +1 more source
Review of Underground Storage Tank Condition Monitoring Techniques
MATEC Web of Conferences, 2019 This article aims to provide a comprehensive review on the condition monitoring techniques of underground storage tanks (UST). Generally, the UST has long been a favourite toxic substance reservation apparatus, thanks to its large capacity and minimum ...
Ching Sheng Ooi +4 more
doaj +1 more source