The TinyML paradigm proposes to integrate Machine Learning (ML)-based mechanisms
within small objects powered by Microcontroller Units (MCUs). This paves the way for the …

Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …

The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …

In the current era of big data, huge quantities of valuable data, which may be of different
levels of veracity, are being generated at a rapid rate. Embedded into these big data are …

Due to rapid advancement in technology the world is rapidly changed to face the upcoming
challenges and going towards automation. The use of various IoT devices is making a vast …

Numerous organizations are striving to maximize the profit of their businesses by the
effective implementation of competitive advantages including cost reduction, quick delivery …

The acquisition of massive data on parcel delivery motivates postal operators to foster the
development of predictive systems to improve customer service. Predicting delivery times …

The emerging trends of cognitive Internet-of-Things (CIoT) are disrupting industrial process
automation by infusing intelligence within the pervasive interactions and process automation …

In recent years, technologies related to indoor and outdoor air quality monitoring systems
have been growing rapidly, particularly computing and communication technologies …

Due to the enhancements of Internet of Things (IoT) and sensors deployments, the
production of big data in Industrial Internet of Things (IIoT) is increased. The accessing and …