Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Abstract: Large language models (LLMs) are increasingly utilized for complex tasks requiring longer context lengths, with some models supporting up to 128 K or 1 M tokens. This trend, however, ...
Abstract: This paper investigates an event-triggered-based coordinated formation control of under-actuated unmanned surface vehicles (USVs) with signal quantization and actuator fault tolerance ...