Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
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 …
offering a crucial analytical tool for the vast data streams generated by modern industrial …
Establishment of a typology for startups 4.0
Although startups' importance as" innovation drivers" and a resource for leveraging
competitiveness has been established, these startups face difficulties in being sustained and …
competitiveness has been established, these startups face difficulties in being sustained and …
Reliance on artificial intelligence, machine learning and deep learning in the era of industry 4.0
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 …
need to automate the work. This necessity has led to the invention of a new technology …
IoT and Machine Learning‐Based Smart Automation System for Industry 4.0 Using Robotics and Sensors
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 …
extensive research in this domain. Several aspects of human life will be improved with the …
Industrial Design Structure: a straightforward organizational integration of DFSS and QFD in a new industry and market reality
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 …
Structure (IDeS) that integrates the internal and external customer feedback embodied both …
Well control space out: A deep-learning approach for the optimization of drilling safety operations
A Magana-Mora, M Affleck, M Ibrahim… - IEEE …, 2021 - ieeexplore.ieee.org
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 …
optimize processes to ensure the health and safety of the crew as well as the protection of …
Applied machine learning in industry 4.0: Case-study research in predictive models for black carbon emissions
J Rubio-Loyola, WRS Paul-Fils - Sensors, 2022 - mdpi.com
Industry 4.0 constitutes a major application domain for sensor data analytics. Industrial
furnaces (IFs) are complex machines made with special thermodynamic materials and …
furnaces (IFs) are complex machines made with special thermodynamic materials and …
[PDF][PDF] Efficient practices of cognitive technology application for smart manufacturing
M Sira - Management Systems in Production Engineering, 2022 - sciendo.com
Cognitive manufacturing (CM) provides for the merging of sensor-based information,
advanced analytics, and cognitive technologies, mainly machine learning in the context of …
advanced analytics, and cognitive technologies, mainly machine learning in the context of …
Feature correlated auto encoder method for industrial 4.0 process inspection using computer vision and machine learning
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 …
had a significant influence on the manufacturing sector. The industry 4.0 concept promotes …
The advantages and barries in implementing of Industry 4.0 and key features of Industry 4.0
Y Ersoy - The Journal of International Scientific Researches, 2022 - dergipark.org.tr
Since the publication of the term" Industry 4.0" in 2011, the digital transformation required by
Industry 4.0 has immediately attracted the attention of industrialists and governments around …
Industry 4.0 has immediately attracted the attention of industrialists and governments around …