The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …

As a special case of machine learning, incremental learning can acquire useful knowledge
from incoming data continuously while it does not need to access the original data. It is …

As city boundaries expand and the vehicles continues to proliferate, the transportation
system is increasingly overloaded, greatly increasing people's commuting burden and …

The unbroken amplification of a versatile urban setup is challenged by huge Big Data
processing. Understanding the voluminous data generated in a smart urban environment for …

Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

Deep learning has recently garnered significant interest in many applications especially for
big data analytics in the edge computing environment. Federated learning, as a novel …

The fault diagnosis during drilling is necessary to prevent the accidents develop to more
serious status. Data-driven diagnosis methods have great advantages in nonlinear industrial …

Medical image segmentation is one of the hot issues in the related area of image
processing. Precise segmentation for medical images is a vital guarantee for follow‐up …