The widespread dissemination of hate speech, harassment, harmful and sexual content, and
violence across websites and media platforms presents substantial challenges and …

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 …

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 …

This research consists of a classification system to determine the adult and benign image.
Adult image in this research was defined as image that is perceived as pornographic by …

The rapid expansion of the digital world introduces complex challenges within the forensic
and security domains. In particular, the wide availability of online pornographic media is a …

The paper proposed a pornographic image recognition using skin probability and principle
component analysis (PCA) on YCbCr color space. The pornographic image recognition is …

This paper proposes alternative solution for pornographic rejection using eigenporn
extracted by simplified linear discriminant analysis (LDA) of skin region of interests (ROIs) of …

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 …

A number of well-known algorithms for skin segmentation in unconstrained acquisition
conditions are tested across many of the best known color spaces and some less well …

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 …