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 …

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) …

Management of traffic emergencies has become very popular in recent years. However,
timely response to emergencies and recovering from an emergency is an important problem …

Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19,
this study introduces an innovative and resource-conscious methodology for analyzing chest …

Management becomes more challenging as machinery becomes more widely used. From
the health management history case records of mechanical devices, we can find that there …

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 …

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 …

Accurate traffic flow prediction is critical for traffic management and route guidance, enabling
urban traffic to be free-flowing conditions and maximizing transport efficiency. In current …

Deep neural networks, specifically deep convolutional neural networks (DCNNs), have been
highly successful in machine learning and computer vision, but a significant challenge when …

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 …