An explicit content detection (ECD) system to detect Not Suitable For Work (NSFW) media
(ie, image/video) content is proposed. The proposed ECD system is based on residual …

Use of ensemble convolutional neural networks (CNNs) has become a more robust strategy
to improve image classification performance. However, the success of the ensemble method …

Visually impaired has the limitation in interacting with another human. They usually use the
sense of hearing and touching their face to recognize human. Face recognition is a …

In this paper, we propose to use deep convolutional neural network (CNN) architectures,
namely the deep residual networks (ResNet), the GoogLeNet, the AlexNet, and the AlexNet …

At a time when the influence of generative Artificial Intelligence on visual arts is a highly
debated topic, we raise the attention towards a more subtle phenomenon: the algorithmic …

The use of the internet is increasing all over the world on a daily basis in the last two
decades. The increase in the internet causes many sexual crimes, such as sexual misuse …

In this study, human face detection have been widely conducted and it is still interesting to
be research. In this research, strong impact of color space for face ie, many and multi faces …

The spreading of pornographic contents (pictures, cartoon, animation, video, and text) is a
big problem for a country like Indonesia due to their many adverse effects, particularly for …

The fast growth of internet access globally without boundary has led to some negative
impacts among children who are exposed to pornographic contents daily. Many parental …

Video classification is challenging because the video consists of many frames. In the videos
recognition system, the proper sampling method affects the classification process because it …