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 …

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 …

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 …

Predicting landslide hazards benefits geological disaster prevention and control. A novel
cellular automaton (CA) integrating spatial case-based reasoning (SCBR), namely SCBR …

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 …

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 …

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 …

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 …

Discretization-based feature selection (DBFS) approaches have shown interesting results
when using several metaheuristic algorithms, such as particle swarm optimization (PSO) …