In the last few years, with the advancement of deep learning methods, especially Generative
Adversarial Networks (GANs) and Variational Auto-encoders (VAEs), fabricated content has …

This research introduces a novel high-accuracy time-series forecasting method, namely the
Time Neural Network (TNN), which is based on a kernel filter and time attention mechanism …

The recent rapid revolution in Artificial Intelligence (AI) technology has enabled the creation
of hyper-realistic deepfakes, and detecting deepfake videos (also known as AI-synthesized …

Docker offers an ecosystem that offers a platform for application packaging, distributing, and
managing within containers. However, the Docker platform has not yet matured. Presently …

Deepfake is a deep learning-based technique that makes it easy to change or modify
images and videos. In investigations and court, visual evidence is commonly employed, but …

Traffic speed prediction is a vital part of the intelligent transportation system (ITS). Predicting
accurate traffic speed is becoming an important and challenging task with the rapid …

The rapid advancement of deepfake technology poses an escalating threat of
misinformation and fraud enabled by manipulated media. Despite the risks, a …

The decision-maker is increasingly utilising machine learning (ML) techniques to find
patterns in huge quantities of real-time data. The approaches enable the system to learn …

Artificial intelligence is used in many areas and is constantly being developed. In recent
years, videos made with deep fakes, which are often heard, have also developed. The use …

DeepFake, DeepFake detection, and face detection technologies have a strong relationship.
DeepFake techniques have become a serious threat to celebrities, the general public, and …