To achieve carbon neutrality, renewable energy-based power systems and hydrogen are increasingly being promoted. A novel electricity-thermal-hydrogen integrated energy system that combines new generation, multi-source load, multiple storage is proposed by the authors. address uncertainties in output, issues of untimely unit regulation response large planning tracking errors, a multi-scale sched...

The efficiency of deep learning-based fault diagnosis methods for bearings is affected by the sample size labeled data, which might be insufficient in engineering field. Self-training a commonly used semi-supervised method, usually limited accuracy features unlabeled data screening. It significant to design an efficient training mechanism extract accurate and novel feature fusion ensure that fu...

Large-scale multi-label image classification requires determining the presence or absence of a target object in large number sample images. For highly specialized and complex sets, it is especially important to ensure accuracy classification. Traditional deep learning models usually don’t take into account image-label correlation constraints when classifying images, strategy images based only o...

Numerical geodynamo simulations with parameters close to an Earth-like regime would be of great interest for understanding the dynamics Earth's liquid outer core and associated geomagnetic field. Such are far too computationally demanding owing large range in spatiotemporal scales. This paper explores application a multi-scale timestepping method asymptotic model generation magnetic field fluid...

in this paper we propose a relatively new semi-analytical technique to approximate the solution ofnonlinear multi-order fractional differential equations (fdes). we present some results concerning to the uniqueness of solution of nonlinear multi-order fdes and discuss the existence of solution for nonlinear multi-order fdes in reproducing kernel hilbert space (rkhs). we further give an error an...

results the total art score was equal to 30.07 ± 12.43. data analysis from art illustrated that 74.6% of 240 cases were in high and 13.8% were in medium level of risk. art-electre results revealed that grading and pars naghsh halls were in the best and decoration hall was in the worst ergonomic conditions and should be placed in the top priority of action level. background in this paper, the er...