Deep learning-based time series classification in 6G-supported Intelligent Transportation
Systems (ITS) helps transport decision-making. Deep learning classifier training …

The automation strategy of today's smart cities relies on large IoT (internet of Things)
systems that collect big data analytics to gain insights. Although there have been recent …

It is crucial to ensure proper surveillance for the safety and security of people and their
assets. The development of an aerial surveillance system might be very effective in catering …

Multi-camera systems for structure from motion (SfM) are widely deployed in many mapping
applications. Existing solutions assume known rig calibration, synchronized frames among …

The latest popularity of computer vision, artificial intelligence, and connectivity between the
systems and processes made a solid ground for the development of intelligent video …

Smart cities will be characterized by a variety of intelligent and networked services, each
with specific requirements for the underlying network infrastructure. While smart city …

Abstract iFogSim is a toolkit to model, simulate, and evaluate the networks of Fog computing,
Edge computing, and Internet of Things (IoT). The framework provides the capabilities of …

This work proposes a Cyber-Physical System (CPS) for protecting smart electric grid critical
infrastructures using video surveillance while remotely monitoring them. Due to the critical …

Smart Video surveillance systems have become important recently for ensuring public safety
and security, especially in smart cities. However, applying real-time artificial intelligence …

Software application performance tends to degrade over a period of time due to introduction
of new features, feature enhancements and bugs-fixes as part of the software maintenance …