Abstract: With the rapid development of 3D acquisition technologies, 3D sensors are becoming increasingly available and affordable, including various types of 3D scanners, LiDAR, and RGB-D cameras.
Abstract: The large amount of floating-point data generated by scientific applications makes data compression essential for I/O performance and efficient storage. However, floating-point data is ...
AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
Abstract: Pallet detection and localization is a fundamental task in the process of logistics automation. Accurate estimation of the pallet's pose contributes to enhanced efficiency and safety. This ...
Abstract: Unlike traditional educational chatbots that rely on pre-programmed responses, large-language model-driven chatbots, such as ChatGPT, demonstrate remarkable versatility to serve as a dynamic ...
Equinix and Digital Realty have largely been on the sidelines of the artificial intelligence data center gold rush. But after years of preaching patience, the world’s largest data center landlords may ...
Abstract: Point clouds are widely used as a versatile representation of 3D entities and scenes for all scale domains and in a variety of application areas, serving as a fundamental data category to ...
ChargePoint enabled more than 100 million EV charging sessions over the past year, and it says demand is now growing faster than new chargers are being installed. Using its network data and 2025 EV ...
Abstract: In this paper, we propose incorporating Optical Wireless Communication (OWC) and Passive Optical Network (PON) technologies into next generation spine-and-leaf Data Centre Networks (DCNs).
Some results have been hidden because they may be inaccessible to you
Show inaccessible results