In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …

Deep Learning (DL) has emerged as the most effective approach for COVID-19 detection,
but privacy concerns hinder its performance due to limited data sharing by medical …

Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS)
is rapidly gaining popularity among researchers in different fields, given its ability to collect …

Time-efficient route planning is a significant research area of Internet of Vehicular Things.
Optimal route selection is important to reach the destination in minimal time. Further, energy …

Mobile CrowdSensing (MCS) is a new sensing paradigm that leverages the widespread use
of mobile devices to collect data quickly and enable various key applications in the Internet …

The collection and transportation of samples are crucial steps in stopping the initial spread
of infectious diseases. This process demands high levels of safety and timeliness. The rapid …

This paper proposes a federated learning-based decision making framework for sustainable
irrigation using IoT and dew-edge-cloud paradigm. The federated learning is used to …

Due to the widespread use of mobile intelligent terminal devices, Mobile Crowd Sensing
(MCS) applications have gained significant research attention. However, ensuring users …