Results 31 to 40 of about 2,520,335 (197)

The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution

open access: yesAppliedMath
The reliability of the multicomponent stress–strength system was investigated under the two-parameter Burr X distribution model. Based on the structure of the system, the type II censored sample of strength and random sample of stress were obtained for ...
Yuhlong Lio   +3 more
doaj   +1 more source

Machine Learning Approaches for Short-Range Wind Power Estimation: A Perspective [PDF]

open access: yesE3S Web of Conferences
The evolution of wind energy production, especially in near and offshore farms, has seen significant advancements due to the integration of novel technologies and the reduction in economic costs.
Kazem Al-Samalek Ahmed Saleh Mahdi   +5 more
doaj   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel   +6 more
wiley   +1 more source

Stress-Strength Reliability of Two-Parameter Exponential Distribution Based on Progres- sively Type-II Censored Data

open access: yesJournal of Biostatistics and Epidemiology
Introduction: Stress-strength models has achieved considerable attention in recent years due to its applicability in various areas like engineering, quality control, biology, genetics, medicine etc.
Sajad Rostamian
doaj   +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

Investigating the Effects of Financial Inclusion on Economic Growth: A Generalized Method of Moments and Quantile Approach [PDF]

open access: yesتحقیقات مالی
ObjectiveFinancial inclusion is a key driver of economic growth. This article examines the impact of financial inclusion on economic growth in middle-income countries. The study measures financial inclusion based on three dimensions: banking penetration,
Akram Ghoreishvandiabrak   +3 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]

open access: yesPeerJ
Thailand is currently grappling with a severe problem of air pollution, especially from small particulate matter (PM), which poses considerable threats to public health.
Natchaya Ratasukharom   +2 more
doaj   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Impact of climate vulnerability and climate readiness on income inequality: Evidence from developing countries [PDF]

open access: yesEnvironmental Economics
Type of the article: Research Article AbstractRecognizing the link between climate vulnerability, climate readiness, and income inequality is crucial, as economic disparities can exacerbate climate risks and hinder adaptation, particularly in developing
Olfa Chaouech
doaj   +1 more source

Home - About - Disclaimer - Privacy