Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Industry 4.0 (I4. 0) encompasses a plethora of digital technologies effecting on
manufacturing enterprises. Most research on this topic examines the effects in the smart …

Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …

Abstract Industry 4.0 is revolutionizing manufacturing, increasing flexibility, mass
customization, quality and productivity. In today's competitive manufacturing scenario …

This paper highlights the importance of maintenance techniques in the coming industrial
revolution, reviews the evolution of maintenance techniques, and presents a comprehensive …

With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …

Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …