Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Abstract Density Peak (DPeak) clustering algorithm is not applicable for large scale data,
due to two quantities, ie, ρ and δ, are both obtained by brute force algorithm with complexity …

Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …

Large-scale data clustering is an essential key for big data problem. However, no current
existing approach is “optimal” for big data due to high complexity, which remains it a great …

Existing vehicle re-identification methods commonly use spatial pooling operations to
aggregate feature maps extracted via off-the-shelf backbone networks, such as visual …

Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of
computer vision due to the growing utilization of surveillance cameras in public security …

Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

Vehicle re-identification (Re-ID) methods often fail to achieve robust performance due to
insufficient training data and domain diversities. Although state-of-the-art methods apply …

Deploying task-oriented dialog ToD systems for new domains and tasks requires natural
language understanding models that are 1) resource-efficient and work under low-data …

Vehicle re-identification (Re-ID) plays an important role in intelligent transportation systems.
It usually suffers from various challenges encountered on the real-life environments, such as …