Abstract: In order to improve the quality and efficiency of laser cladding, an optimized path planning method is proposed for curved parts. A 3D laser scanner is used to obtain the 3D point cloud data ...
Abstract: Based on DL (Deep Learning) technology, this paper develops an advanced algorithm which can accurately predict the properties of materials, and applies it to the optimal design of mechanical ...
Abstract: In order to establish a delay automatic control model with lower control error and better reduction of uplink load, based on existing work, this paper ...
Abstract: Artillery, as the primary firepower weapon for ground and naval forces, plays a crucial role in modern warfare. However, modern information warfare poses severe challenges to artillery ...
Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning Arnold Schwarzenegger ...
Abstract: Cloud detection plays a significant role in optical imagery, but snow has similar spectral characteristics to clouds in visible and near-infrared bands. The multifeature combined (MFC) ...
Abstract: With the increasing demand for batch testing of fiber optic gyroscopes (FOGs) scale factor, accurate and low-complexity change point detection methods are essential for identifying state ...
Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
Abstract: Fusing of terrestrial laser scanning (TLS) and airborne laser scanning (ALS) point cloud data has been recognized as an effective approach in forest studies. In this regard, co-registration ...
Abstract: With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of ...