Results 81 to 90 of about 24,380,822 (306)

Modal–Physical Hybrid System Identification of High-rise Building via Subspace and Inverse-Mode Methods

Frontiers in Built Environment, 2017
A system identification (SI) problem of high-rise buildings is investigated under restricted data environments. The shear and bending stiffnesses of a shear-bending model (SB model) representing the high-rise buildings are identified via the smart ...
Kohei Fujita, Yuhei Fujimori, Izuru Takewaki   +2 more
doaj   +1 more source

Uncertainty in Identification Systems

2018 IEEE International Symposium on Information Theory (ISIT), 2018
We study the high-dimensional identification systems under the presence of statistical uncertainties. The task is to design mappings for enrollment and identification purposes. The identification mapping compresses users' information then stores the index in the corresponding position in a database.
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund, Holger Boche   +3 more
openaire   +6 more sources

Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham, Teyl Engstrom, Peter Baade, Natalie Bradford, Sarah Pont, Louise Marquart‐Wilson, Natasha Nassar, Jason D. Pole   +7 more
wiley   +1 more source

Generalized Versoria Soft-Root-Sign-Based Adaptive Filter for System Identification Under Impulsive Noise

IEEE Access
Robust adaptive filtering algorithms using correntropy, Versoria, logarithmic cost, generalized soft root sign (GSRS), and hyperbolic cosine functions (HCF) have been successfully employed for the system identification (SI) problem under non-Gaussian ...
Sandesh Jain, Pankaj Kumar, Rangeet Mitra, Praveen Kumar Singya, Sanjeev Sharma, Vimal Bhatia   +5 more
doaj   +1 more source

An Optimized Differential Step-Size LMS Algorithm

Algorithms, 2019
Adaptive algorithms with differential step-sizes (related to the filter coefficients) are well known in the literature, most frequently as “proportionate” algorithms. Usually, they are derived on a heuristic basis. In this paper, we introduce
Alexandru-George Rusu, Silviu Ciochină, Constantin Paleologu, Jacob Benesty   +3 more
doaj   +1 more source

What does system identification have to offer?

, 1983
This contribution concerns the application of system identification to real-life problems. What system identification has to offer depends upon the objective the user has in mind and the prior knowledge he has about the system. The authors show how these
Gevers, Michel, Bastin, Georges, Identification and System Parameter Estimation 1982. Proceedings of the Sixth IFAC Symposium   +2 more
core  

Sequential Monte Carlo Methods for System Identification

, 2015
One of the key challenges in identifying nonlinear and possibly non-Gaussian state space models (SSMs) is the intractability of estimating the system state.
Schön, Thomas Bo, Thomas B. Schön, Schön, Thomas Bo,, Andersson Naesseth, Christian,, Andersson Naesseth, Christian, Dai, Liang, Liang Dai, et al., Christian A. Naesseth, Svensson, Andreas, Dai, Liang,, Lindsten, Fredrik, Fredrik Lindsten, Wågberg, Johan, Wågberg, Johan,, Johan Dahlin, Svensson, Andreas,, Andreas Svensson, Lindsten, Fredrik,, Dahlin, Johan,, Dahlin, Johan   +19 more
core   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Intelligent Soft Sensors for Inferential Monitoring of Hydrodesulfurization Process Analyzers

Actuators
This work presents the development of soft sensor models for monitoring the operation of online process analyzers used to measure the sulfur content in the product of the refinery hydrodesulfurization process.
Željka Ujević Andrijić, Srečko Herceg, Magdalena Šimić, Nenad Bolf   +3 more
doaj   +1 more source

A system identification approach to modeling of wave propagation in pavements

, 2012
In this paper, modeling of the pavement as a wave propagation medium and estimation of the corresponding model parameters is approached from a system identification perspective.
Hostettler, Roland,, Nordenvaad, Magnus Lundberg,, Birk, Wolfgang,   +2 more
core   +1 more source