Representing contextual features at multiple scales is important for RGB-D SOD. Recently,
due to advances in backbone convolutional neural networks (CNNs) revealing stronger …

Neural network pruning techniques can be effective in accelerating neural network models,
making it possible to deploy them on edge devices. In this paper, we propose to prune …

This paper addresses the robust enhancement problem in the control of robot manipulators.
A new hierarchical multiloop model predictive control (MPC) scheme is proposed by …

In order to reduce the offshore wind power operation and maintenance vessel motion
induced by severe sea states, a suitable stabilizer with the ship based on linear quadratic …

Due to nonlinearity and uncertainty of the robotic manipulator, the design of the robot
controller has a crucial impact on its performance of motion and trajectory tracking. In this …