Abstract: As IoT applications grow, low-power Microcontroller Units (MCUs) are increasingly used for energy-efficient, local data processing. However, deploying complex Deep Neural Networks (DNNs) on ...
The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results