Abstract: To enhance the information encoding of point cloud geometry and multi-feature utilization, thereby further improving the accuracy of 3D point cloud semantic segmentation, this paper proposes ...
Abstract: Photovoltaic (PV) systems are widely acknowledged for their sustainable, plentiful, and eco-friendly energy generation. However, the non-linear behavior of PV cells highlights the vital role ...
Abstract: In recent days, with the advancements of continuous development in industrial civilization, living standards of people as well as consumption habits had significantly evolved in product ...
Abstract: As a promising urban shared transport mode, the Customized Bus (CB) system has the potential to improve diversity and service quality in urban transportation. This paper is driven by the ...
Abstract: Satistical static timing analysis (SSTA) struggles with nonlinear MAX operations, which is crucial in block based statistical timing analysis. Most existing methods either incur high ...
Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...
Abstract: Many of today’s infrastructures, from transportation and healthcare to cloud computing and digital marketplaces, rely on algorithms that must act online, meaning they make decisions ...
Abstract: In recent years, with the rapid development of drone technology, fixed-wing unmanned aerial vehicles (UAVs) have shown extensive potential in various fields such as battlefield ...
Abstract: The Internet of Things has transformed the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology. However, IoMT networks remain vulnerable to a wide ...
Abstract: Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such ...
Abstract: Specialized recruiting firms have emerged as a result of the expansion of the Indian employment market. These agencies use machine learning models to expedite the hiring process and provide ...
Abstract: Aiming at the dynamic background air target detection algorithm using SIFT feature point detection and brute force matching leads to the problem of low detection efficiency and poor ...