Abstract: Based on deep learning, object detection networks provide an accurate and sensitive method for ensuring the factory quality of insulation pull rods (IPRs). However, the stability of network ...

Abstract: 3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object recognition in computer vision and remote sensing. Numerous previous studies have presented a series of ...

Abstract: In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of ...

Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...

Abstract: Hybridizing a photovoltaic (PV) system with a thermoelectric generator (TEG) enhances overall energy density and input utilization. PV efficiency decreases, whereas TEG efficiency improves ...

In this repository, you will find my solutions to the pattern-based programming problems recommended by Striver. Each solution is implemented in C++. These problems are carefully selected to cover a ...

Abstract: The development of artificial intelligence enables instruments to cope with more complex and diverse measurement tasks. Inspired by the human brain, large-scale neuromorphic systems can ...

Abstract: Point cloud based 3D deep model has wide applications in many applications such as autonomous driving, house robot, etc. Inspired by the recent prompt learning in natural language processing ...

Abstract: Hyperspectral unmixing (HSU), which aims to identify constituent materials and estimate the corresponding proportions in a scene, is an essential research topic in remote sensing. Most deep ...