Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

E-scooter-sharing and e-bike-sharing systems are accommodating and easing the
increased traffic in dense cities and are expanding considerably. However, these new micro …

With the continuous development of artificial intelligence, swarm control and other
technologies, the application of Unmanned Aerial Vehicles (UAVs) in the battlefield is more …

With the rising demand for wireless services and increased awareness of the need for data
protection, existing network traffic analysis and management architectures are facing …

With the development of intelligent transportation systems, clustering methods are now
being adopted for traffic pattern recognition to discover the time-varying laws in road …

A significant increase in the use of a bike sharing systems (BSSs) can cause imbalances in
the distribution of bikes, creating logistical challenges. Moreover, imbalanced BSSs …

Accurate bike-sharing demand prediction is crucial for bike allocation rebalancing and
station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit …

Clustering is an important data mining technique described as unsupervised learning. Till
date, many single-objective clustering algorithms have been developed on the basis of …

As a typical unsupervised learning technique, clustering has been widely applied. However,
in many cases, prior information about the number of clusters is unknown, so how to …

Bicycle sharing systems (BSSs) have established a new shared-economy mobility model.
After a rapid growth they are evolving into a fully-functional mobile sensor platform for cities …