In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …

To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

This research paper explores the challenges, solutions, and impact of implementing
machine learning (ML) models in business analytics. It delves into the complexities of …

The establishment of the digital product passport is regarded to be a prominent tool to
promote environmental and social sustainability, thus enabling the transition towards …

The last decade saw the rise of digitalization and data-supported decision making in the
manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry …

The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

BACKGROUND Solar energy forecasting involves predicting the amount of solar radiation
that will be available at a specific location over a given period. Accurate forecasting is crucial …

SMART GRID INNOVATION: MACHINE LEARNING FOR REAL-TIME ENERGY MANAGEMENT AND
LOAD BALANCING Page 1 Engineering Science & Technology Journal, Volume 4, Issue 6 …

Identifying, and eventually eliminating throughput bottlenecks, is a key means to increase
throughput and productivity in production systems. In the real world, however, eliminating …