Geothermal energy is considered a renewable,environmentally friendly,especially carbon-free,sustainable energy source that can solve the problem of climate change.In general,countries with geothermal energy resources ...
The main objective of this paper is to demonstrate that the internal processes of Self-Organizing Systems represent a unique and singular process, characterized by their specific generativity. This process can be mode...
Predictive Maintenance is a type of condition-based maintenance that assesses the equipment's states and estimates its failure probability and when maintenance should be performed.Although machine learning techniques ...
Natural Science Foundation of Shandong Province,Grant/Award Numbers:ZR2021MF074,ZR2020KF027,ZR2020MF067;the National Key R&D Program of China,Grant/Award Number:2018AAA0101703。
In order to improve the performance of the automatic apple grading and sorting system,in this paper,an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theo...
supported by the National Natural Science Foundation of China(No.50974010);the Beijing Natural Science Foundation(No.2162036);the National Training Program of Innovation and Entrepreneurship for Undergraduates(No.202010004006)。
In the preparation of plasma electrolytic oxidation(PEO)coating,the rapid heating of freely-happened electron avalanche under traditional discharge(TD)mode inevitably results in a strong eruption of electric breakdown...
The aim of the paper, as explicitly indicated by its title, is to show that The Maximum Ordinality Principle (MOP) and its Formal Language, namely The “Incipient” Differential Calculus (IDC), open, and at the same t...
This work was supported in part by the Natural Science Foundation of Shanghai(21ZR1403600);the National Natural Science Foundation of China(62176059);Shanghai Municipal Science and Technology Major Project(2018SHZDZX01);Zhang Jiang Laboratory,Shanghai Sailing Program(21YF1402800);Shanghai Municipal of Science and Technology Project(20JC1419500);Shanghai Center for Brain Science and Brain-inspired Technology.
The performance of medical image classification has been enhanced by deep convolutional neural networks(CNNs),which are typically trained with cross-entropy(CE)loss.However,when the label presents an intrinsic ordinal...