[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

[HTML][HTML] Internet of things for smart factories in industry 4.0, a review

M Soori, B Arezoo, R Dastres - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …

Machine learning and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

A Hassoun, A Aït-Kaddour… - Critical Reviews in …, 2023 - Taylor & Francis
Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

M Elsisi, MQ Tran, K Mahmoud, DEA Mansour… - Measurement, 2022 - Elsevier
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0

R Rosati, L Romeo, G Cecchini, F Tonetto, P Viti… - Journal of Intelligent …, 2023 - Springer
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …

Integration of industry 4.0 technologies into total productive maintenance practices

GL Tortorella, FS Fogliatto, PA Cauchick-Miguel… - International Journal of …, 2021 - Elsevier
Abstract Total Productive Maintenance (TPM), an important maintenance management
approach grounded on lean principles, has found widespread applicability in the …

Toward cognitive predictive maintenance: A survey of graph-based approaches

L **a, P Zheng, X Li, RX Gao, L Wang - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
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 …