The binary-state network, a basic network, and its components are either...
Various networks are broadly and deeply applied in real-life application...
In modern society, the trading methods and strategies used in financial
...
Current network applications, such as utility networks (gas, water,
elec...
Current real-life applications of various networks such as utility (gas,...
The series-parallel (active) redundancy allocation problem with mixed
co...
Reliability is an important tool for evaluating the performance of moder...
The Monte Carlo simulation (MCS) is a statistical methodology used in a ...
Pose variation is one of the key challenges in face recognition. Convent...
Various real-life applications, for example, Internet of Things, wireles...
Real-world applications such as the internet of things, wireless sensor
...
As the acquisition cost of the graphics processing unit (GPU) has decrea...
Network systems are commonly used in various fields, such as power grid,...
The traditional (active) reliability redundancy allocation problem (RRAP...
Various networks such as cloud computing, water/gas/electricity networks...
All kind of networks, e.g., Internet of Things, social networks, wireles...
Among various real-life emerging applications, wireless sensor networks,...
Among the machine learning approaches applied in computer vision,
Convol...
Many network applications are based on binary-state networks, where each...
The acyclic multistate information network (AMIN), which is a kind of MI...
The reliability redundancy allocation problem (RRAP) is a well-known too...
Network structures and models have been widely adopted, e.g., for Intern...
The support vector machine (SVM) and deep learning (e.g., convolutional
...
Network reliability modeling and calculation is a very important study d...
A rework network is a common manufacturing system, in which flows (produ...
A novel general neural network (GNN) is proposed for two-class data mini...
Cloud computing distributes computing tasks across numerous distributed
...