The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Deep learning has become an area of interest to the researchers in the past few years.
Convolutional Neural Network (CNN) is a deep learning approach that is widely used for …

The automatic identification and diagnosis of rice diseases are highly desired in the field of
agricultural information. Deep learning is a hot research topic in pattern recognition and …

Detecting small objects is notoriously challenging due to their low resolution and noisy
representation. Existing object detection pipelines usually detect small objects through …

Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …

Although promising results have been achieved in the areas of traffic-sign detection and
classification, few works have provided simultaneous solutions to these two tasks for realistic …

Deeper neural networks have achieved great results in the field of computer vision and have
been successfully applied to tasks such as traffic sign recognition. However, as traffic sign …

Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …

The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …