Results 11 to 20 of about 2,583,502 (287)
MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi-Scale Information and Metric Learning Framework for scDNAm Data. [PDF]
Adv Sci (Weinh)MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Jia Y, Li S, Tang S, Gu K, Chen S.
europepmc +2 more sources
Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle based on an Improved Stochastic System Identification [PDF]
, 2015 This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI) method. It introduces the use of an average correlation signal as
Chen, Zhi +3 more
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Subspace-based System Identification for Helicopter Dynamic Modelling.
, 2007 This paper investigates the problem of helicopter dynamic modelling using time-domain system identification techniques. The paper begins with a brief introduction to the state-space form of the perturbation model for helicopters, based on which, system ...
Ian Postlethwaite (36312) +2 more
core +6 more sources
Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]
, 2011 This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
Katebi, M.R. +3 more
core +4 more sources
Measurement + Control, 2021 In the wind tunnel test of a long-span bridge model, to ensure that the dynamic characteristics of the model can satisfy the test design requirements, it is particularly important to accurately identify the modal parameters of the model.
Yulin Zhou +5 more
doaj +1 more source
Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2003 Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
doaj +1 more source
Applied Sciences, 2020 A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi +5 more
doaj +1 more source
Data-Driven Predictive Control With Switched Subspace Matrices for an SCR System
IEEE Access, 2022 Selective catalytic reduction (SCR) systems are distributed systems with strong time-varying parameter characteristics such that an accurate model for it is difficult to establish.
Jinghua Zhao +5 more
doaj +1 more source
Data-Driven Predictive Control of a Pneumatic Ankle Foot Orthosis
Advances in Electrical and Computer Engineering, 2021 We present the design and control of a pneumatic ankle-foot orthosis (P-AFO) device powered via bi-directional pneumatic rotary actuator and a pneumatic artificial muscle for rehabilitation assistance and treatment of neuromuscular disorders.
ULKIR, O. +3 more
doaj +1 more source
CESSIPy: A Python open-source module for stochastic system identification in civil engineering
SoftwareX, 2022 This paper presents CESSIPy, a Python open-source module for identifying modal properties of a vibrating structure from output-only measurements. The identified properties are natural frequencies, damping ratios and modal shapes.
Matheus Roman Carini, Marcelo Maia Rocha
doaj +1 more source