In the modern era, artificial intelligence (AI) and deep learning (DL) seamlessly integrate into
various spheres of our daily lives. These cutting-edge disciplines have given rise to …

On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

Recent cars have been equipped with many technologies to raise the safety level of vehicles
and pedestrians. Advanced driver assistance systems (ADAS) are intelligent systems based …

The technology development greatly increases the amount of digital visual information.
Existing devices cannot efficiently process such huge amounts of data. The technical …

Fast emissions sensing is needed to enable rapid optimization on-the-fly for increasingly
adaptive engine architectures to improve performance over a wide range of loads and to …

Convolutional Neural Networks (CNN) have shown impressive performance in computer
vision, natural language processing, and many other applications, but they exhibit high …

This study introduces a methodology tailored to analog hardware architecture for
implementing an artificial neural network. The fundamental components of the architecture …

In recent years, deep neural networks (DNNs) have addressed new applications with
intelligent autonomy, often achieving higher accuracy than human experts. This capability …

Deep neural network (DNN) is becoming pervasive in today's applications with intelligent
autonomy. Nonetheless, the ever-increasing complexity of modern DNN models caused …

Recent advances have brought the top technologies to modern vehicles. Advanced driver
assistance systems have been widely integrated into almost all types of vehicles to enhance …