Multiplication is one of the essential functions in all digital systems. The evaluation of digital
system, have brought out new challenges in VLSI (Very Large Scale Integration) designing …

Approximate computing is an emerging paradigm for develo** highly energy-efficient
computing systems such as various accelerators. In the literature, many libraries of …

Traffic flow forecasting has been a long-standing topic in intelligent transportation systems,
and a renewed interest has been seen in recent years due to the development of artificial …

The current state-of-the-art approximate adders are mostly ASIC-based, ie, they focus solely
on gate and/or transistor level approximations (eg, through circuit simplification or …

Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …

With the emergence of approximate computing as a design paradigm, many approximate
functional units have been proposed, particularly approximate adders and multipliers. These …

Real‐time effective traffic flow big data prediction network has important application
significance. Over the past few years, traffic flow data have been exploding and we have …

Approximate computing strives to achieve the highest performance-, area-, and power-
efficiency for a given quality constraint and vice versa. Conventional approximate design …

Approximate Computing has emerged as a design paradigm suitable to applications with
inherent error resilience. This paradigm aims to reduce the associated computing costs …

Approximate computing is an emerging strategy to improve the energy efficiency of many
error-tolerant applications. To design an approximate circuit automatically, many …