This paper proposes an efficient dynamic reconfigurable CNN accelerator (EDRCA) for
FPGAs to tackle the issues of limited hardware resources and low energy efficiency in the …

This work aims to utilize Internet of Things (IoT) technology and the Artificial Neural Network-
Cellular Automaton (ANN-CA) model to analyze the construction of indicators for territorial …

The recent advancements in data mining, machine learning algorithms and cognitive
systems have necessitated the development of neuromorphic processing engines which …

Image segmentation is essential for several computer vision applications, including object
detection, autonomous driving, and medical imaging. Traditional image segmentation …

While spin-orbit torque magnetic random access memory (SOT-MRAM) have shown huge
potential for building next-generation embedded memory due to their attractive …

Present-day computationally intensive on-chip applications consume much area and
energy. Multi-level cells (MLCs) capable of storing two-bit information can reduce this area …

Present-day computationally intensive on-chip applications consume much area and
energy. Multi-level cells (MLCs) capable of storing two-bit information can reduce this area …