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 …

The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …

Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic
signs have their unique features compared with traffic signs of other countries. Convolutional …

Traffic sign detection systems constitute a key component in trending real-world
applications, such as autonomous driving, and driver safety and assistance. This paper …

This study presents a novel method to apply the RGB-D (Red Green Blue-Depth) sensors
and fuse aligned RGB and NIR images with deep convolutional neural networks (CNN) for …

Nowadays, more and more object recognition tasks are being solved with Convolutional
Neural Networks (CNN). Due to its high recognition rate and fast execution, the …

Object detection plays a vital role in the fields of computer vision, machine learning, and
artificial intelligence applications (such as FUSE‐AI (E‐healthcare MRI scan), face detection …

An automatic detection and classification of traffic signs is an important task in Advanced
Driver Assistance System (ADAS). Convolutional Neural Network (CNN) has surpassed the …

One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …

Simple Summary In aquaculture, the number of fish population can provide valuable input
for the development of an intelligent production management system. Therefore, by using …