Results 51 to 60 of about 82,988 (261)
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato +27 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
Distributed State Estimation for Multi-Agent Systems With Random Transmission Delays
This paper investigates the distributed state estimation problem of a class of multi-agent systems with random transmission delay. The random transmission delay phenomenon is described by a random variable that obeys a Bernoulli distribution.
Teng Ma, Meixia Yue, Wen Zhang, Ke Xu
doaj +1 more source
Due to the rapid development and wide application of compressed sensing and sparse reconstruction theory, there exists a series of sparsity-based methods for the antenna sensor array direction of arrival (DOA) estimation with excellent performance ...
Tao Chen, Lin Shi, Yongzhi Yu
doaj +1 more source
FDA-MIMO Radar Robust Beamforming Based on Matrix Weighting Method
This paper deals with the problem of robust beamforming and target power estimation in the presence of main-lobe interference with frequency division array multiple-input multiple-output (FDA-MIMO) radar by adopting a weighting matrix at the receiving ...
Changlin Zhou +5 more
doaj +1 more source
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
Distributed Moving Horizon Fusion Estimation for Nonlinear Constrained Uncertain Systems
This paper studies the state estimation of a class of distributed nonlinear systems. A new robust distributed moving horizon fusion estimation (DMHFE) method is proposed to deal with the norm-bounded uncertainties and guarantee the estimation performance.
Shoudong Wang, Binqiang Xue
doaj +1 more source
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
To address the array aperture loss caused by mainstream direction of arrival (DOA) estimation algorithms for coherent signals using matrix interpolation techniques, a non‐circular (NC) coherent signal direction‐finding method that fully utilises ...
Zihan Shen +3 more
doaj +1 more source
Direction-of-arrival (DOA) estimation using nested linear array ignores the information from repeated sensors, thus involves the problem of losing accuracy. Moreover, non-circular feature of signals is rarely considered and it results in discontinuity of
Peng Han +3 more
doaj +1 more source

