Results 261 to 270 of about 7,620,387 (307)

Correction: Effectiveness of non-invasive chromosomal screening for normal karyotype and chromosomal rearrangements. [PDF]

Front Genet
Sun BL, Wang Y, Wen S, Zhou L, Zhang CH, Wu ZX, Qiao J, Sun QY, Yao YX, Wang J, Yi ZY, Qian WP.   +11 more
europepmc   +1 more source

Digital Behavioral Therapy Improves Outcome in Patients With Axial Spondyloarthritis and Persistent Pain: A Randomized Controlled Trial

Arthritis Care &Research, EarlyView.
Objective Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHAs) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer, Yade Sonkaya, Dietmar Krause, Markus Voglau, Bernhard Mintrop, Imke Redeker, Xenofon Baraliakos, Uta Kiltz   +7 more
wiley   +1 more source

Wearables Integrated Technology to support healthy behaviours in general practice patients with type 2 diabetes (WEAR-IT): study protocol for a cluster randomised controlled trial. [PDF]

BMJ Open
Hobden B, Fakes K, Halcomb EJ, Wallis K, Maberly G, Seng-Lim K, Doran C, Oldmeadow C, Meyerowitz-Katz G, Soenen S, Zwar N.   +10 more
europepmc   +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

Developing a General Method to Assess Task-Technology Fit

, 1999
Mark T. Dishaw, Diane M. Strong, D. Brent Bandy   +2 more
openalex   +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

Artificial Intelligence in Cancer Oncology Through Comprehensive Bibliometric Mapping of Global Trends Impact and Conceptual Structures. [PDF]

J Healthc Leadersh
Caraka RE, Supardi K, Gondhowiardjo SA, Isnaniawardhani V, Gio PU, Chen RC, Pardamean B.   +6 more
europepmc   +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

Perfusion dynamics in reversible cerebral vasoconstriction syndrome. [PDF]

J Headache Pain
Wu CH, Lee PL, Ling YH, Wang YF, Lirng JF, Wang SJ, Chou KH, Chen SP.   +7 more
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source