Approximate computing is an emerging trend in digital design that trades off the requirement
of exact computation for improved speed and power performance. This paper proposes …

VLSI implementation of arithmetic functions are of high demand considering the rise in
hardware realization of image and digital signal processing modules for various …

Approximate computing can be used in the error‐tolerant applications since it can provide
meaningful results with lower power consumption. In this study, the authors proposed a …

Approximate computing, which relaxes full precision to achieve higher performance or lower
power consumption, is widely used in error-resilient applications such as multimedia and …

As a crucial issue in renewable energy, accurate prediction of direct normal solar irradiance
(DNI) is essential for the stable operation of concentrated solar power (CSP) stations …

In multi aspect based software (MABS) aspects like business values, benefits, cost, time,
penalty and risk on business are evaluated. Requirement prioritization (RP) is contemplated …

Abstract Several Approximate Multipliers (AMs) are developed by integrating approximate
computing techniques into conventional exact multiplier architectures. Notably, AMs utilizing …

Low power dissipation in approximate arithmetic circuits has laid the foundation for area-
efficient computational units for error resilient applications like image and signal processing …

A decrease in design complexity via approximate computation will increase performance
and power of error-resilient applications. This paper presents a new approximation method …

Approximate multiplier designs can improve their energy efficiency and performance with
only a slight loss in accuracy by using approximate arithmetic circuits. This method is …