Nowadays, data-driven learning based deep neural network (DNN) is the most dominant SOTA image dehazing framework. Here, learning to perfectly simulate the underlying mapping rules (from hazy to clear ...
Abstract: In this article, the consensus problem is studied for leader–follower second-order multiagent systems subject to velocity constraints. To solve the problem, an innovative hierarchical ...
Abstract: The structural deformation measuring of coal mine roadways is an effective method to prevent dynamic disasters and avoid loss of civilian life and property. Previous studies on structural ...
Abstract: Extremely large-scale antenna arrays (ELAA) play a critical role in enabling the functionalities of next generation wireless communication systems. However, as the number of antennas ...
Abstract: The idea of the IoT began back in 1982 when a vending machine was connected to the internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed evolution of the IoT ...
Abstract: Animatronic robots that simulate the lively and realistic motions of creatures can be excellent robotic platforms for social interaction with people. In particular, the robot head is a very ...
Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...
Abstract: Cutaneous haptic feedback has recently received great attention from researchers in the robotic teleoperation field, as it has been proven to convey rich information to the human operator ...
Abstract: In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=63 ...
Abstract: The traditional deep learning-based bearing fault diagnosis approaches assume that the training and test data follow the same distribution. This assumption, however, is not always true for ...
Abstract: Infrared small target detection plays an important role in military and civilian fields while it is difficult to be solved by deep learning (DL) technologies due to scarcity of data and ...
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