Neuromorphic computing, inspired by biological neural networks, has emerged as a
promising approach for solving complex machine learning tasks with greater efficiency and …

In the realm of signal processing, frequency and spectrum detection are fundamental tasks
that can be computationally intensive. This project leverages the power of FPGAs to perform …

Abstract The deployment of Linear Kalman Filters with high computational performance to
the field of multi-phase power converters has yet to be thoroughly explored in current …

Recent years have witnessed the proposals aiming at enabling Vertical, two-sided markets
with a Single Marketplace (or exchange)(VSMs) for computing and data resources/services …

Government policies and economics play a pivotal role in shaping the landscape of
computational modelling in wireless networks. As wireless communications become …