In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …

Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Automatic traffic flow classification is useful to reveal road congestions and accidents.
Nowadays, roads and highways are equipped with a huge amount of surveillance cameras …

Urban planning, in short, deals with solving the problems of the modern society. The
problems are complementary to the growing population in today's society. The problems in …

Timely failure detection for bearings is of great importance to prevent economic losses in the
industry. In this article we propose a method based on Convolutional Neural Networks …

Despite the huge amount of traffic surveillance videos and images have been accumulated
in the daily monitoring, deep learning approaches have been underutilized in the …

District heating plays a dominant role in the heating markets of Nordic countries. Therefore,
energy efficiency of district heating systems is of great interest to energy stakeholders …

Data is the new oil in current technological society. The impact of efficient data has changed
benchmarks of performance in terms of speed and accuracy. The enhancement is …

Current available supervised classifiers cannot generalize across various domains due to
distribution mismatch among them. Domain adaptation and transfer learning algorithms are …