Abstract The Internet of Things (IoT) era is evolving into sensor initiated, actuation-driven,
and machine intelligence-based decision making platform for smart cities. A smart city …

Recent global smart city efforts resemble the establishment of electricity networks when
electricity was first invented, which meant the start of a new era to sell electricity as a utility. A …

Network intrusion detection systems (NIDSs) play a crucial role in defending computer
networks. However, there are concerns regarding the feasibility and sustainability of current …

Aiming at the problem that the traditional license plate recognition method lacking of
accuracy and speed, an end-to-end deep learning model for license plate location and …

The recent advances of hardware technology have made the intelligent analysis equipped
at the front-end with deep learning more prevailing and practical. To better enable the …

Vehicles on the road are rising in extensive numbers, particularly in proportion to the
industrial revolution and growing economy. The significant use of vehicles has increased the …

Achieving good recognition results for License plates is challenging due to multiple adverse
factors. For instance, in Malaysia, where private vehicle (eg, cars) have numbers with dark …

In the era of big data, the applications/services of the smart city are expected to offer end
users better QoE than in a conventional smart city. Nevertheless, various types of sensors …

Speaker identification systems are becoming more important in today's world. This is
especially true as devices rely on the user to speak commands. In this article, an analysis of …

As Intelligent Transportation Systems applications increase in prevalence, Automatic
License Plate Recognition solutions must be made continually faster and more accurate …