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 …

This study presents the development of a sentimental analysis system for high education
students using Arabic text. There is a gap in the literature concerning understanding the …

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 urban centers evolve into smart cities, sustainable mobility emerges as a cornerstone for
ensuring environmental integrity and enhancing quality of life. Autonomous vehicles (AVs) …

This article tackles a pervasive problem in connected transportation networks: the issue of
conflicting right-of-way between trams and Connected Vehicles (CV) at intersections. Trams …

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 …