Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Connected and autonomous vehicles (CAVs) will form the backbone of future next-
generation intelligent transportation systems (ITS) providing travel comfort, road safety …

This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Autonomous vehicles are complex systems that are challenging to test and debug. A
requirements-driven approach to the development process can decrease the resources …

The classification of histopathology images requires an experienced physician with years of
experience to classify the histopathology images accurately. In this study, an algorithm was …

Background: Drug response prediction is an important problem in computational
personalized medicine. Many machine-learning-based methods, especially deep learning …

With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

Blind and Visually impaired people (BVIP) face a range of practical difficulties when
undertaking outdoor journeys as pedestrians. Over the past decade, a variety of assistive …

Traffic light detection is crucial for environment perception and decision-making in
autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural …

Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever
pace. As a result, the likelihood of incurring information overload is particularly notable for …