The use of IoT devices is growing rapidly and it is playing a critical role in a diverse set of industries. It has been instrumental in the growth of smart cities. Smart cities have emerged as a paradigm for urban development ...

In this chapter, the authors present a comprehensive review on how the fog computing-based IoT can be utilized for the outbreak prevention and its existing control systems. The authors have also explained how numerous edge ...

The uprising of Internet of Things (IoT) has dramatically influenced the world’s technology in terms of interoperability, connectivity and interconnectivity with help of smart sensors, devices, objects, data and applications. ...

Currently, the world is witnessing a huge growth in additional computing proficiency and extensive network coverage capability, which resulted in a paradigm shift from VANETs to Internet of Vehicles (IoV). Moreover, enhanced ...

In the field of autonomous vehicles (AV), it is crucial for the perceptual systems of the AVs to learn inter-domain adaptations in the absence of paired examples for detecting vehicular instances in unstructured real-world ...

The Internet of Vehicles (IoV) has potentially escalated the management of vehicle and route planning. However, as the IoV becomes more prevalent, safeguarding the privacy and security of IoV data becomes crucial. Additionally, ...

V2X (Vehicle-to-everything) communication has garnered much attention in propelling the Internet of Vehicles (IoV) to seek shelter for many mission-critical edge-based applications in Intelligent Transportation Systems ...

Facial expression detection is a well-studied domain in which facial features are extracted and then classified into six common expressions. One of the most common techniques used for extracting features is the Gabor filter. ...

Breast cancer is taking a large toll in the present scenario. Many computer aided diagnosis are been developed to detect breast cancer. The detected breast cancer is also classified according to their subtypes. In the ...

Local features of an image are used in many computer vision applications such as object detection and scene matching. The gradient orientation histogram is used by many local features such as Scale Invariant Feature Transform ...