Results 71 to 80 of about 9,917,814 (292)
This study introduces an innovative feature point extraction method combined with an improved Grey Wolf Optimizer (GWO)-based coarse registration approach to address common challenges of low registration accuracy and slow processing speed in point cloud ...
Zimei Tu +3 more
doaj +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
The problem of sparse decoupling radar imaging methods based on deep learning is researched. An improved model‐driven learning imaging network with a complex‐valued convolution block attention module plugged into each sub‐network is proposed. This method
Shanshan Ding +3 more
doaj +1 more source
Statistical inference for intelligent lighting : a pilot study
The decision process in the design and implementation of intelligent lighting applications benefits from insights about the data collected and a deep understanding of the relations among its variables.
Lukkien, JJ Johan +19 more
core +1 more source
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Conventional cross-subject electroencephalogram (EEG) signal identification frameworks require centralized aggregation of all subjects’ data for feature extraction, which inherently poses substantial risks of data privacy breaches.
Rao Wei +4 more
doaj +1 more source
Control architecture for intelligent mechanical system: virtual internal model following control
An alternative architecture for a servo controller for intelligent mechanical systems is proposed. This architecture, called virtual internal model-following control, uses sensory information to control the deviation of the controlled variable from its ...
Yokoyama, T., Kosuge, K., Furuta, K.
core
Intelligent nonsingular terminal sliding-mode control via perturbed fuzzy neural network
In this paper, an intelligent nonsingular terminal sliding-mode control (INTSMC) system, which is composed of a terminal neural controller and a robust compensator, is proposed for an unknown nonlinear system ...
Hsu, Chun-Fei; Lee, Tsu-Tian; Tanaka, Kazuo
core +1 more source
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li +11 more
wiley +1 more source
The application of multi-agent systems to the design of an intelligent geometry compressor [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this research, a multi-agent approach was applied to the design of a large axial flow compressor in order to optimise performance and to greatly enlarge ...
Morgan, Gwyn
core +5 more sources

