Recurrent Neural Networks are powerful machine learning frameworks that allow for data to
be saved and referenced in a temporal sequence. This opens many new possibilities in …

Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …

The storage of facial images in medical records poses privacy risks due to the sensitive
nature of the personal biometric information that can be extracted from such images. To …

With the recent advancements in technology, more and more people rely on their personal
devices to store their sensitive information. Concurrently, the environment in which these …

Modern scientific advancements often contribute to the introduction and refinement of never-
before-seen technologies. This can be quite the task for humans to maintain and monitor …

In recent years, the amount of secure information being stored on mobile devices has grown
exponentially. However, current security schemas for mobile devices such as physiological …

Since the beginning of the Internet of Things (IoT), the number of IoT devices connected to
the Internet has grown rapidly. However, many IoT devices lack the security standards that …

Human activity recognition using deep learning techniques has become increasing popular
because of its high effectivity with recognizing complex tasks, as well as being relatively low …

Fin-Tech is the merging of finance and technology, to be considered a key term for
technology-based financial operations and money transactions as far as Fin-Tech is …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …