Results 51 to 60 of about 11,231,484 (245)
Predefined‐time distributed event‐triggered algorithms for resource allocation
The resource allocation problem in a distributed multi‐agent system is considered in this study. First, the authors develop a predefined‐time distributed algorithm and analyse its convergence analysis using the Lyapunov stability theory, in which the ...
Xiasheng Shi, Lei Xu, Tao Yang
doaj +1 more source
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
wiley +1 more source
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Globally, electricity demand has increased due to climate change and population growth, leading to higher energy consumption in building Heating, Ventilation, and Air Conditioning (HVAC) systems.
Emmanuel Agabi, David Banjerdpongchai
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Intelligent Robotic Process Automation (RPA) Development
This chapter deals with growth and deployment, changing business operations with Intelligent RPA. It brings together the traditional automation with AI, machine learning, and cognitive technologies in handling complex processes to enhance the efficiency ...
Choudhury, Tanupriya +3 more
core +1 more source
Attention and automation: New perspectives on mental underload and performance [PDF]
There is considerable evidence in the ergonomics literature that automation can significantly reduce operator mental workload. Furthermore, reducing mental workload is not necessarily a good thing, particularly in cases where the level is already ...
Young, Mark S. +3 more
core +1 more source
Maize Lipid Metabolite Prediction Using Hyperspectral Imaging and Deep Feature Learning
Lipid metabolites in maize kernels determine grain quality by influencing nutritional value, oxidative stability, and post-harvest deterioration, making their profiling essential for quality improvement and breeding.
Mengqin Li +3 more
doaj +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source

