Over the last decade, there is a surge of attention in establishing ambient assisted living
(AAL) solutions to assist individuals live independently. With a social and economic …

In this work we have explored the hybrid deep learning architecture for recognizing the
tampering from the videos. This hybrid architecture explores the features from the authentic …

Convolutional neural networks (CNN) is one of the most important branches of deep
learning, which always shows the excellent performance on image classification via unique …

Introduction Falls are a major cause of accidents that can lead to serious injuries, especially
among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart …

Braille-assistive technologies have helped blind people to write, read, learn, and
communicate with sighted individuals for many years. These technologies enable blind …

Parkinson's disease affects bodily functions and there is a growing need for advanced
solutions to offer therapeutic advice to patients. A framework using artificial intelligence and …

The exponential increases of technology-enabled devices are creating new horizons for
research and development. The telecom revolution has taken a massive step in providing …

In this paper, we propose a lightweight deep learning network (DRRU-Net) for image-
splicing forgery detection. DRRU-Net is an architecture that combines RRU-Net for learning …

Heart disease is the leading cause of death in the world, and early detection of
cardiovascular disease is important for maintaining overall health conditions. In the medical …

Technological advancement of image and video processing tools made the tampering of
videos faster and easier, and even a non-professional can make it simpler. Video tampering …