AIMC Topic: Neural Networks, Computer

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Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.

IEEE transactions on cybernetics
An event-triggered adaptive dynamic programming (ADP) algorithm is developed in this article to solve the tracking control problem for partially unknown constrained uncertain systems. First, an augmented system is constructed, and the solution of the...

Time-Synchronized Control for Disturbed Systems.

IEEE transactions on cybernetics
Finite-time control is concerned with steering a system state to the origin before a certain settling-time limit, ignoring any consideration of when each state element converges relative to the others. In this article, a control problem called time-s...

Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces.

IEEE transactions on cybernetics
Due to the development of convenient brain-machine interfaces (BMIs), the automatic selection of a minimum channel (electrode) set has attracted increasing interest because the decrease in the number of channels increases the efficiency of BMIs. This...

A Barrier Varying-Parameter Dynamic Learning Network for Solving Time-Varying Quadratic Programming Problems With Multiple Constraints.

IEEE transactions on cybernetics
Many scientific research and engineering problems can be converted to time-varying quadratic programming (TVQP) problems with constraints. Thus, TVQP problem solving plays an important role in practical applications. Many existing neural networks, su...

ABSSNet: Attention-Based Spatial Segmentation Network for Traffic Scene Understanding.

IEEE transactions on cybernetics
The location information of road and lane lines is the supremely important thing for the automatic drive and auxiliary drive. The detection accuracy of these two elements dramatically affects the reliability and practicality of the whole system. In r...

GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping.

Sensors (Basel, Switzerland)
We propose a dual-module robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the scene. We present an improved version of the Generative Residual Convolutional Neu...

Dual-Branch Discrimination Network Using Multiple Sparse Priors for Image Deblurring.

Sensors (Basel, Switzerland)
Blind image deblurring is a challenging problem in computer vision, aiming to restore the sharp image from blurred observation. Due to the incompatibility between the complex unknown degradation and the simple synthetic model, directly training a dee...

Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information.

Sensors (Basel, Switzerland)
The deterioration of infrastructure's health has become more predominant on a global scale during the 21st century. Aging infrastructure as well as those structures damaged by natural disasters have prompted the research community to improve state-of...

A Deep Q-Network-Based Algorithm for Multi-Connectivity Optimization in Heterogeneous Cellular-Networks.

Sensors (Basel, Switzerland)
The use of multi-connectivity has become a useful tool to manage the traffic in heterogeneous cellular network deployments, since it allows a device to be simultaneously connected to multiple cells. The proper exploitation of this technique requires ...

Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin.

Sensors (Basel, Switzerland)
Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate...