With recent advances in technology, it is feasible to conveniently monitor urban roads using
various cameras, such as surveillance cameras, in-vehicle cameras, or smartphones, and …

For efficient road maintenance, an automated monitoring system is required to avoid
laboriously and time-consuming manual inspection by road administration crews. One …

Spatially-invariant land use and cover changes (LUCC) are not suitable for managing non-
stationary drought conditions. Therefore, developing a spatially varying framework for …

In this article we discussed a method to discretize multivariate time series using the recurrent
neural network (RNN). Time series discretization is a technique to convert real-number time …

Recognizing materials using image analysis is a classic problem. However, little research
has been done with the images which have visual impediments such as noise, obstacle, or …

Remote sensing data acquisition is one of the most essential processes in the field of Earth
observation. However, traditional methods to acquire data do not satisfy the requirements of …

Class imbalance is a substantial challenge in classifying many real-world cases. Synthetic
over-sampling methods have been effective to improve the performance of classifiers for …

This paper proposes a platform, dubbed" Translational Visual Data Platform (TVDP)", to
collect, manage, analyze urban visual data which enables participating community members …

Smart city applications covering a wide area such as traffic monitoring and pothole detection
are gradually adopting more image machine learning algorithms utilizing ubiquitous camera …

Due to the ubiquity of GPS-equipped cameras such as smartphones, more photos are
getting automatically tagged with camera locations (referred to as geo-tagged images) so …