Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...
Abstract: Dictionary learning is widely used in fault diagnosis due to its strong representational capability. However, weak high-speed bearing fault signals are dense in the time domain and sparse in ...
Abstract: The analysis of transportation data is considered as an essential application for Machine Learning (ML) based-intelligent transportation design and control especially for safety and ...