The class imbalance problem occurs when one class far outnumbers the other classes,
causing most traditional classifiers perform poorly on the minority classes. To tackle this …

Spectrum scarcity has surfaced as a prominent concern in wireless radio communications
with the emergence of new technologies over the past few years. As a result, there is a …

The DBSCAN algorithm is a prevalent method of density-based clustering algorithms, the
most important feature of which is the ability to detect arbitrary shapes and varied clusters …

Class overlap and class imbalance are two data complexities that challenge the design of
effective classifiers in Pattern Recognition and Data Mining as they may cause a significant …

Wayfinding is one of the most daily activities of peoples in urban spaces which could be
facilitated by a set of landmarks to provide a mental map of the environment. Landmark …

Extracting the latent knowledge from Twitter by applying spatial clustering on geotagged
tweets provides the ability to discover events and their locations. DBSCAN (density-based …

Abstract Systems and methods for summarizing online articles for consumption on a user
device are disclosed herein. The system extracts the main body of an article's text from the …

Purpose B-mode ultrasound images are used in identifying the presence of fat deposit if any
in carotid artery. The intima media, lumen, bifurcation boundary is detected by the echogenic …

As a sustainable transportation alternative, cycling has been developed by many large cities
as one essential measure for addressing the “last mile problem” in urban areas with high …

Laser-generated ultrasound is a modern non-destructive testing technique. It has been
investigated over recent years as an alternative to classical ultrasonic methods, mainly in …