Results 61 to 70 of about 1,703,727 (282)

Artificial Intelligence‐based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, Accepted Article.
Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein   +7 more
wiley   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN KEPUASAN MAHASISWA TERHADAP PELAYANAN SIM ONLINE UNIVERSITAS WIDYAGAMA MALANG

open access: yesJurnal Teknologi dan Manajemen Informatika, 2017
Information system is a medium to accommodate an activity that takes place in an agency or institution, whether it is administrative activities and activities in a non-administration.
Ibnu Mubarok, Fitri Marisa, Dwi Purnomo
doaj   +1 more source

On Learning Path Planning Algorithm Based on Collaborative Analysis of Learning Behavior

open access: yesIEEE Access, 2020
Studying learning path planning can help find useful implicit learning behavior patterns from learners' online learning behavior data, which is conducive to helping beginners or learners with low participation to reasonably arrange the learning sequence ...
Zhaoyu Shou   +5 more
doaj   +1 more source

Online Algorithms for Machine Minimization

open access: yesCoRR, 2014
In this paper, we consider the online version of the machine minimization problem (introduced by Chuzhoy et al., FOCS 2004), where the goal is to schedule a set of jobs with release times, deadlines, and processing lengths on a minimum number of identical machines. Since the online problem has strong lower bounds if all the job parameters are arbitrary,
Nikhil R. Devanur   +3 more
openaire   +2 more sources

On robust online scheduling algorithms [PDF]

open access: yesJournal of Scheduling, 2009
ISSN:1094 ...
Gatto, Michael, Widmayer, Peter
openaire   +2 more sources

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

Online Offloading Scheduling and Resource Allocation Algorithms for Vehicular Edge Computing System

open access: yesIEEE Access, 2020
To accommodate the exponentially increasing computation demands of vehicle-based applications, vehicular edge computing (VEC) system was introduced. This paper considers a three-layer VEC architecture and proposes an online offloading scheduling and ...
Zhen Wang   +3 more
doaj   +1 more source

Adding Isolated Vertices Makes some Online Algorithms Optimal

open access: yes, 2016
An unexpected difference between online and offline algorithms is observed. The natural greedy algorithms are shown to be worst case online optimal for Online Independent Set and Online Vertex Cover on graphs with 'enough' isolated vertices, Freckle ...
A Gyárfás   +9 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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