Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

With the emergence of deep learning, computer vision has witnessed extensive
advancement and has seen immense applications in multiple domains. Specifically, image …

Scanning electron microscope (SEM) image analysis facilitates the visualization and
quantification of the microstructure, topology, morphology, and connectivity of distinct …

Understanding the situation is a critical component of any self‐driving system. Accurate real‐
time visual signal processing to create pixelwise classed pictures, also known as semantic …

The classification and extraction of road markings and lanes are of critical importance to
infrastructure assessment, planning and road safety. We present a pipeline for the accurate …

For purposes of locating kerogen/organic matter and pores in SEM images of shale
samples, we tested an automated SEM-image segmentation workflow involving feature …

Autonomous driving is a promising field in today's industry. Many aspects need to be
considered when designing a self-driving system. Understanding a situation is an important …

Autonomous driving research has progressed significantly in recent years. In order to travel
safely, comfortably, and effectively, an autonomous car must completely comprehend the …

This paper studies the reliability of CPS software system and proposes a real-time
evaluation method of CPS software reliability based on machine learning. First, use complex …

Gabor filters well support computer vision tasks due to its steerable properties, that are
useful for handling image transformation such as image rotation and image scaling. In this …