[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
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 …
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
Artificial intelligence applications for industry 4.0: A literature-based study
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …
are focusing on improving product consistency, productivity and reducing operating costs …
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
[HTML][HTML] Artificial intelligence-based solutions for climate change: a review
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …
systems, and inducing global economic losses of over $500 billion. These issues may be …
Artificial intelligence in operations management and supply chain management: An exploratory case study
With the development and evolution of information technology, competition has become
more and more intensive on a global scale. Many companies have forecast that the future of …
more and more intensive on a global scale. Many companies have forecast that the future of …
[HTML][HTML] Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
[HTML][HTML] Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries
Abstract In Industry 4.0, the production data obtained from the Internet of Things has reached
the magnitude of big data with the emergence of advanced information and communication …
the magnitude of big data with the emergence of advanced information and communication …
Intelligent computing: the latest advances, challenges, and future
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …
we have witnessed the emergence of intelligent computing, a new computing paradigm that …
[HTML][HTML] Machine learning approach using MLP and SVM algorithms for the fault prediction of a centrifugal pump in the oil and gas industry
PF Orrù, A Zoccheddu, L Sassu, C Mattia, R Cozza… - Sustainability, 2020 - mdpi.com
The demand for cost-effective, reliable and safe machinery operation requires accurate fault
detection and classification to achieve an efficient maintenance strategy and increase …
detection and classification to achieve an efficient maintenance strategy and increase …
[HTML][HTML] Improved fault classification for predictive maintenance in industrial IoT based on AutoML: A case study of ball-bearing faults
RH Hadi, HN Hady, AM Hasan, A Al-Jodah… - Processes, 2023 - mdpi.com
The growing complexity of data derived from Industrial Internet of Things (IIoT) systems
presents substantial challenges for traditional machine-learning techniques, which struggle …
presents substantial challenges for traditional machine-learning techniques, which struggle …