Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and
optimizing the production and distribution processes. In this streamline, the digital twin (DT) …

IIoT is evolving as the future of system and process integration across Operations
Technology (OT) and Information Technology (IT). The dynamic nature of OT and IT across …

The considerable body of literature on business models, business model innovation, and
sustainable business models has yet to fully account for the impact of external dynamics …

Industrialization has led to a huge demand for a network control system to monitor and
control multi-loop processes with high effectiveness. Due to these advancements, new …

Internet of Things (IoT) has been developing to become a free exchange of useful
information between multiple real-world devices. Already spread all over the world in the …

Industrial Internet of Things (IIoT) can be seen as an extension of the Internet of Things (IoT)
services and applications to industry with the inclusion of Industry 4.0 that provides …

With the advent of Tiny Machine Learning (tinyML), it is increasingly feasible to deploy
optimized ML models on constrained battery-less Internet of Things (IoT) devices with …

Abstract Maximum Power Point Tracking (MPPT) algorithms are essential to achieve the
best overall performance of PV systems. Typically, MPPT techniques are implemented over …

The Industrial Internet of Things (IIoT) has been positioned as a key pillar of the Industry 4.0
revolution, which is projected to continue accelerating and realizing digital transformations …

Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with
machine learning (ML) to predict probable failures, which leads to the necessity of …