The use of the deep learning approach in the textile industry for the purpose of defect
detection has become an increasing trend in the past 20 years. The majority of publications …

Stochastic computing (SC) is an unconventional method of computation that treats data as
probabilities. Typically, each bit of an N-bit stochastic number (SN) **s randomly chosen to …

Purpose The purpose of this paper is to focus on the design and development of computer-
aided fabric defect detection and classification employing advanced learning algorithm …

The computer vision industry has experienced a significant surge in growth, resulting in
numerous promising breakthroughs in computer intelligence. The present review paper …

Wireless mesh networks are getting adopted in the domain of network communication. Their
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …

A fabric inspection system is a sophisticated computer vision system that detects fabric
defects, automatically. In recent years, human visual inspection has traditionally been used …

Arithmetic plays a major role in a computer? s performance and efficiency. Building new
computing platforms supported by the traditional binary arithmetic and silicon-based …

Employing convolutional neural networks (CNNs) in embedded devices seeks novel low-
cost and energy efficient CNN accelerators. Stochastic computing (SC) is a promising low …

With the ever-improving degree of car privatization, the number of car-owning residents has
repeatedly reached new highs, but it has also caused traffic congestion, especially lane …

Defects on fabric surface, which greatly affects product quality, is an important issue under
investigation for engineers, researchers, and organizations working in respective sectoral …