Results 81 to 90 of about 9,246 (254)
Abstract Objectives Obsessive–compulsive disorder (OCD) is a psychiatric disorder with alterations of cortico‐striato‐thalamo‐cortical loops and impaired performance monitoring. Electrophysiological markers such as conflict‐related medial frontal theta (MFT) and error‐related negativity (ERN) may be altered by clinically effective deep brain ...
Elena Sildatke +9 more
wiley +1 more source
Is large improvement in efficiency of impulsive noise removal in color images still possible? [PDF]
Malinski L, Radlak K, Smolka B.
europepmc +1 more source
ABSTRACT This paper proposes a hybrid control strategy for flexible‐link manipulators that combines offline trajectory planning with adaptive tracking to suppress residual elastic vibration (REV) under unknown bounded disturbances. A rigid–flexible coupling dynamics model is first established using the floating‐frame method and Lagrange's equations ...
Mingming Shi +5 more
wiley +1 more source
The Performance of Wavelet Packet Division Multiplexing in Impulsive and Gaussian Noise
The aim of this paper is to investigate the effect of impulsive noise on the performance of the WPDM (Wavelet Packet Division Multiplexing) system. The employed model of impulsive noise consists of Bernoulli distributed impulsive arrivals and Gaussian ...
Fadel S. Hassen +1 more
doaj
A Total Lp-Norm Optimization for Bearing-Only Source Localization in Impulsive Noise with SαS Distribution. [PDF]
Luo JA, Xue CC, Rong YJ, Han ST.
europepmc +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments. [PDF]
Liu H, Zhao H, Chen X, Feng W.
europepmc +1 more source
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley +1 more source
Sliding Mode Control in Aerospace Applications: A Survey
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley +1 more source
Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti +7 more
wiley +1 more source

