The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Low-power keywords recognition has been a focus of acoustic signal processing for several
decades. This work investigates the domain-specific speech recognition microprocessor …

Multiplication is an essential image processing operation commonly implemented in
hardware DSP cores. To improve DSP cores' area, speed, or energy efficiency, we can …

Achieving energy efficiency is always a primary concern for fog-architecture-based Internet
of Things (IoT) applications. As the IoT devices are typically of small sizes and powered by …

With the rapid development of the Internet of Things, terminal equipment is greatly restricted
in hardware resources and power supply. Therefore, there is an urgent need for new low …

Edge computing brings artificial intelligence algorithms and graphics processing units closer
to data sources, making autonomy and energy-efficient processing vital for their design …

Recently, due to the immense growth of computing power, image processing and
Convolutional neural networks (CNN) have regained gigantic attention because of the …

Numerous obstacles in enhancing the performance of computing systems have spurred the
emergence of approximate computing. Extensive studies have been reported on …

The circuit complexity of dividers is more considerable than the basic arithmetic units like
adders and multipliers. However, the performance of the divider has a significant impact on …

Background and aims: Blood glucose prediction (BGP) has increasingly been adopted for
personalized monitoring of blood glucose levels in diabetic patients, providing valuable …