For critical applications that require a higher level of reliability, the triple modular
redundancy (TMR) scheme is usually employed to implement fault-tolerant arithmetic units …

Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by
the structure and function of the human brain, designed to process and learn from large …

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

Network-on-Chip (NoC) is a scalable on-chip communication architecture widely used in
neural network accelerators. However, data-intensive applications like machine learning …

The suggested circuits are crucial for increasing the effectiveness of circuit design in
approximate computing since they are related to the design of approximate full adders for …

The major challenge in marine environment imaging lies in addressing the haziness
induced by natural phenomena, such as absorption and scattering in underwater scenes …

The energy-efficient error-tolerant circuits have paved the way for a whole new area in low-
power consumption applications with approximate computing. The approximate computing …