Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

The effective robust management of plant requires the implementation of industrial alarm
systems in a very significant capacity. The core objective of alarms is to warn the operator of …

The number of vehicles on the road increases daily, causing many fatal accidents and
wasting much time for the average commuter every day due to congestion. Vehicular ad hoc …

Recent development in intelligent transport systems (ITS) has led to the improvement of
driving experience in vehicular ad-hoc network (VANET) systems. Providing a low …

The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …

Intelligent transportation systems require efficient ways to manage traffic incidents like
accidents and traffic rule violations. Secure logging of incident related data is important in …

Edge computing has emerged as a promising paradigm for addressing the challenges of
latency, bandwidth, and energy consumption in the era of big data and the intelligent …

By deploying computing, storage, and bandwidth resources at the user side, vehicular edge
computing (VEC) provides low-delay services for vehicle users. However, due to the limited …

Intelligent Transport Systems (ITS) have provided new technologies to protect human life,
speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians …

Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …