A recent study has found that malicious bots generated nearly a quarter of overall website
traffic in 2019 [102]. These malicious bots perform activities such as price and content …

Existing work on software patches often use features specific to a single task. These works
often rely on manually identified features, and human effort is required to identify these …

A novel approach using a convolutional neural network (CNN) for finger-vein biometric
identification is presented in this paper. Unlike existing biometric techniques such as …

The ability of hackers to infiltrate computer systems using computer attack programs and
bots led to the development of Captchas or Completely Automated Public Turing Tests to …

Adverse weather conditions like fog, rainfall, and snowfall affect the driver's visibility, mobility
of vehicle, and road capacity. Accurate prediction of the macroscopic traffic stream variables …

Aiming at the problems that the traditional CNN has many parameters and a large proportion
of fully connected parameters, a image classification method is proposed, which based on …

Abstract Video-based Compound Expression Recognition (CER) aims to identify compound
expressions in everyday interactions per frame. Unlike rapid progress in Facial Expression …

CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart),
or HIP (Human Interactive Proof), has long been utilized to avoid bots manipulating web …

In this research, we present a new way of thinking using a Convolutional Neural Network
(CNN) for palm-vein biometric authentication. In contrary to fingerprint and face, palm vein …

Large-scale convolutional neural network is a fundamental algorithmic building block in
many computer vision and artificial intelligence applications that follow the deep learning …