Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

Although startups' importance as" innovation drivers" and a resource for leveraging
competitiveness has been established, these startups face difficulties in being sustained and …

As the days pass, the amount of work to do increases day by day, so there is a considerable
need to automate the work. This necessity has led to the invention of a new technology …

The concept of Industry 4.0, the fourth industrial revolution, is not yet widespread, despite the
extensive research in this domain. Several aspects of human life will be improved with the …

Purpose The aim of this research is to enlighten the methodology model of Industrial Design
Structure (IDeS) that integrates the internal and external customer feedback embodied both …

The importance of image encryption has considerably increased especially after the
dramatic evolution of the internet of things (IOT) and due to the simplicity of capturing and …

Industry 4.0 constitutes a major application domain for sensor data analytics. Industrial
furnaces (IFs) are complex machines made with special thermodynamic materials and …

As drilling of new oil and gas wells increase to meet energy demands, it is essential to
optimize processes to ensure the health and safety of the crew as well as the protection of …

Cognitive manufacturing (CM) provides for the merging of sensor-based information,
advanced analytics, and cognitive technologies, mainly machine learning in the context of …

From the perspective of the Industry 4.0 paradigm, the machine learning (ML) discipline has
had a significant influence on the manufacturing sector. The industry 4.0 concept promotes …