Results 71 to 80 of about 427,822 (290)

Serum uric acid levels in older adults: Associations with clinical outcomes and implications for reference intervals in those aged 70 years and over

Arthritis Care &Research, Accepted Article.
Objectives Reports have linked both high and low serum uric acid (SUA) levels to adverse health outcomes. This study aimed to establish a reference interval for SUA in older adults and assessed its association with clinically relevant outcomes in relatively healthy, community‐dwelling individuals aged 70 and older.
Amanda J Rickard, Cammie Tran, Hans G Schneider, Flavia M Cicuttini, Anita E Wluka, Ego Seeman, Johannes T Neumann, Md Nazmul Karim, Zhen Zhou, Sultana Monira Hussain, David P Q Clark, Daniel Clayton‐Chubb, Andrew M Tonkin, Lawrence J Beilin, Robyn L Woods, John J McNeil   +15 more
wiley   +1 more source

Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection

Scientific Reports
A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a collaborative system of WSN systems and IoT networks are work to exchange, gather, and handle data.
M. Karthikeyan, D. Manimegalai, Karthikeyan RajaGopal   +2 more
doaj   +1 more source

Estimator-Based Control for Pure-Feedback Systems With Incomplete Measurements

IEEE Access, 2020
This paper investigates estimator-based control problems for pure-feedback nonlinear systems with incomplete measurements due to the transmission packet losing or sensor saturation. The incomplete measurements can cause the state variables unavailable or
Lidong Wang, Xiaoping Liu, Xuebo Chen, Tong Li, Yingxin Wei, Xinze Xue   +5 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Power control of hybrid grid-connected renewable energy system using machine learning

Energy Reports
This article addresses the crucial challenge of maintaining a reliable power supply in integrated electric systems that combine solar power and energy storage.
M. Karthikeyan, D. Manimegalai, karthikeyan RajaGopal   +2 more
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Active noise control algorithm based on a neural network and nonlinear input-output system identification model

Archives of Acoustics, 2013
The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems.
Tomasz KRUKOWICZ
doaj  

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Nonlinear Elliptic Systems and Nonlinear Parabolic Systems [PDF]

Journal of Applied Mathematics, 2014
Wei, Li, Lau, Anthony To-Ming, Gao, Hongya, Fang, Zhongbo   +3 more
openaire   +4 more sources