Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure
and function of the human brain. Their popularity has increased in recent years due to their …

During the last decade, deep neural networks have shown a great performance in many
machine learning tasks such as classification and clustering. One of the most successful …

This research proposes a unique cloud-assisted collaborative estimating system for on-road
sensors like potholes, ice, and road profile to develop next-generation automobiles that are …

Real estate is potentially contributing to the economic growth. It has a strong correlation
between property owners and beneficiaries. The accurate forecast of future property prices …

An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …

In order to solve the problem of traffic congestion in a certain area, this paper develops a set
of traffic optimization decision system. For analyzing the actual traffic conditions and …

Over the last decade, deep neural networks have shown great success in the fields of
machine learning and computer vision. Currently, the CNN (convolutional neural network) is …

As society grows, the urbanized population proliferates, and urbanization accelerates.
Increasing traffic problems affect the normal process of the city. The urban transportation …

This paper presents multiple readings to solve a vehicle routing problem with pickup and
delivery (VRPPD) based on a real-life case study. Compared to theoretical problems, real …

Performance optimization of the milk powder spray drying system is of great significance to
the sustainable development of the dairy industry with the growing market demand for milk …