From standard software to crucial applications, face recognition (FR) is always at the core of
many unique advances over the past 20 years. Big data is a rapidly growing collection of …

The current automatic recognition method of machine English translation errors has poor
semantic analysis ability, resulting in low accuracy of recognition results. Therefore, this …

Biometric systems proven to be one of the most reliable and robust method for human
identification. Integration of biometrics among the standard of living provokes the necessity …

Non-chemical weeds control is a crucial aspect of sustainable organic agriculture. This
paper explored the state-of-the-art deep learning networks applicability for weed detection …

The train wheelset is a crucial part of railway vehicles, and its damage may lead to serious
safety accidents. Therefore, it is imperative to detect tread damage timely and accurately …

This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings
of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which …

This paper talk about various types of available Platforms related to Internet of things. For
running various Internet of thing applications, there is a need of Hardware platforms and …

Face detection, registration, and identification has become a fascinating subject for
researchers. The huge interest in the subject originates from the need to improve accuracy …

Face recognition system has become an integral part of the security mechanisms used in the
IoT applications. Smart cities and industries started deploying face recognition applications …

Conventional vision-based face recognition systems has the advantages of high accuracy
and fast recognition speed, however, it also suffers from the limitation of poor privacy …