As the key component of Industry 4.0, IoT has been widely used in various fields of industry.
But cloud-based data storage, computation, and communication in IoT cause many issues …

Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …

Smart manufacturing systems are growing based on the various requests for predicting the
reliability and quality of equipment. Many machine learning techniques are being examined …

As a new generation of information technology, blockchain plays an important role in
business and industrial innovation. The employment of blockchain technologies in industry …

The world is moving rapidly from carbon-producing vehicles to green transportation systems.
Electric vehicles (EV) are a big step towards a friendly mode of transport. With the constant …

Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

The fog computing concept was proposed to help cloud computing for the data processing of
Internet of Things (IoT) applications. However, fog computing faces several challenges such …

Clinical databases, particularly those composed of big data, face growing security
challenges. Blockchain, the open, decentralized, distributed public ledger technology …

Current developments in information technology and increased inclination towards smart
cities have led to the initiation of a plethora of features by technology-oriented companies …

Abstract Vehicle Edge Computing (VEC) is a new technology that can extend computing and
storage functions to the edge of the Internet of Things systems. For limited computing power …