Results 71 to 80 of about 2,621,724 (318)

Reliability Assessment of a Vision-Based Dynamic Displacement Measurement System Using an Unmanned Aerial Vehicle

Sensors, 2023
In recent years, many studies have been conducted on the vision-based displacement measurement system using an unmanned aerial vehicle, which has been used in actual structure measurements.
Hongjin Kim, Guyeon Kim
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

Version 6 of the System Identification Toolbox [PDF]

, 2003
This paper describes the new developments in Mathworks System Identification Toolbox to be run with Matlab. There are three main additions to the new version: (1) Frequency domain input/output data as well as frequency response data can be directly used ...
Ljung, Lennart,
core  

Modeling and Identification of a Nuclear Reactor [PDF]

, 1976
Some representative results from modeling and identification experiments on the Halden boiling water reactor (HBWR) in Norway are presented in this chapter. Linear input–output models, as well as time invariant and time variable linear state models, have
Olsson, Gustaf,, Lund University.
core   +1 more source

System Identification Methods for Industrial Control Systems [PDF]

, 2022
System identification is a process of creating a mathematical model of a system from its external observations (inputs and outputs). The concept of discovering models from data is trivial in science and engineering fields.
Hussain, M, Jadidi, Z, Foo, E, Fidge, C
core   +1 more source

Dictionary Learning-Based Data Pruning for System Identification

Applied Sciences
In system identification, augmenting time series data via time shifting and nonlinearisation can lead to both feature and sample redundancy. However, research has mainly focused on feature redundancy while largely ignoring the issue of sample redundancy.
Tingna Wang, Sikai Zhang, Mingming Song, Limin Sun   +3 more
doaj   +1 more source

Orthogonal Least Squares Based Incremental Echo State Networks for Nonlinear Time Series Data Analysis

IEEE Access, 2019
This paper develops an incremental randomized learning method for an extended Echo State Network (φ-ESN), which has a reservoir with random static projection, to better cope with non-linear time series data modelling problems. Although the typical
Qian Zhang, Xiaojie Zhou, Jian Tang
doaj   +1 more source

Identification of Wiener Systems with Recursive Gauss-Seidel Algorithm

Elektronika ir Elektrotechnika, 2023
The Recursive Gauss-Seidel (RGS) algorithm is presented that is implemented in a one-step Gauss-Seidel iteration for the identification of Wiener output error systems.
Metin Hatun
doaj   +1 more source

Improved Early Referral in Long‐Term Survivor Care With Institutional Standardized Practice Among Childhood Leukemia Survivors#

Pediatric Blood &Cancer, EarlyView.
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark, Kayla L. Foster, Omar Shakeel, Mary C. Shapiro, Shawki L. Qasim, ZoAnn Dreyer, Eric S. Schafer, Ashley M. Butler, Austin L. Brown, Maria Monica Gramatges   +9 more
wiley   +1 more source

On the Dead-Zone in System Identification [PDF]

, 1991
A prediction error method for parameter estimation in a dynamical system is studied.The following problems are treated in this paper:When is the DZ estimate inconsistent, and what is the set of parameters which minimizes the criterion in the case of ...
Ljung, Lennart,, Forsman, Krister,
core