The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …

With the rapid expansion of the Internet of Things and the surge in the volume of data
exchanged in it, cloud computing became more significant. To face the challenges of the …

The growth of the Internet of Things (IoT) has intensely enlarged the number of related
devices creating and consuming data. To handle this ever-growing data flow, Next …

A distributed machine learning technique called federated learning allows numerous
Internet of Things (IoT) edge devices to work together to train a model without sharing their …

Due to the revolution of Internet of Things (IoT), the amount of data generation has been
redoubling, leading to higher latency and network traffic. This has resulted in delays in …

The security of the Internet of Medical Things (IoMT) is very important because it connects
many medical devices to improve care operations and patient monitoring in real time …

Cloud-fog computing has emerged as the contemporary approach for processing and
analyzing Internet of Things applications due to its ability to offer remote resources. Cloud …

With the proliferation of Internet of Things (IoT) devices and the increasing demand for low-
latency data processing, edge computing has emerged as a critical paradigm. However …

Real-time processing demands are also increasing significantly with the proliferation of
Internet of Things (IoT)-based smart systems. At the same time, the volume of data …