Efficiently implementing remote sensing image classification with high spatial resolution
imagery can provide significant value in land use and land cover (LULC) classification. The …

Sanitary sewer systems are designed to collect and transport sanitary wastewater and
stormwater. Pipe inspection is important in identifying both the type and location of pipe …

Building a high-accuracy utilization factor prediction model for tunnel boring machine with
limited available data is a research challenge. To solve the problem mentioned above, a …

Accurate vehicle classification and tracking are increasingly important subjects for intelligent
transport systems (ITSs) and for planning that utilizes precise location intelligence. Deep …

This study addresses the problem of traffic flow estimation based on the data from a video
surveillance camera. Target problem here is formulated as counting and classifying vehicles …

The ability to train on a large dataset of labeled samples is critical to the success of deep
learning in many domains. In this paper, we focus on motor vehicle classification and …

The major problem in Thailand related to parking is time violation. Vehicles are not allowed
to park for more than a specified amount of time. Implementation of closed-circuit television …

Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …

Robust and automated segmentation of leaves and other backgrounds is a core prerequisite
of most approaches in high-throughput field phenotyping. So far, the possibilities of deep …

Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …