Machine Learning as a universal tool for quantitative investigations of phase transitions von Giannetti, Cinzia, Lucini, Biagio, Vadacchino, Davide

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Towards scalable and reusable predictive models for cyber twins in manufacturing systems von Giannetti, Cinzia, Essien, Aniekan

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A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders von Essien, Aniekan, Giannetti, Cinzia

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Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation von Borghini, Eugenio, Giannetti, Cinzia, Flynn, James, Todeschini, Grazia

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Segmentation and generalisation for writing skills transfer from humans to robots von Li, Chunxu, Yang, Chenguang, Giannetti, Cinzia

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Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning von Beden, Sadeer, Lakshmanan, Kayal, Giannetti, Cinzia, Beckmann, Arnold

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Using Convolutional Neural Networks to Map Houses Suitable for Electric Vehicle Home Charging von Flynn, James, Giannetti, Cinzia

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Anomaly Detection of DC Nut Runner Processes in Engine Assembly von Flynn, James Simon, Giannetti, Cinzia, Van Dijk, Hessel

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A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods von Lakshmanan, Kayal, Roach, Matt, Giannetti, Cinzia, Bhoite, Shubham, George, David, Mortensen, Tim, Manduhu, Manduhu, Heravi, Behzad, Kariyawasam, Sharadha, Xie, Xianghua

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An image-based deep transfer learning approach to classify power quality disturbances von Todeschini, Grazia, Kheta, Karan, Giannetti, Cinzia

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A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill von Latham, Samuel, Giannetti, Cinzia

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Revolutionising the Sustainability of Steel Manufacturing Using Computer Vision von O'Donovan, Callum, Giannetti, Cinzia, Pleydell-Pearce, Cameron

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Deep learning for robust forecasting of hot metal silicon content in a blast furnace von Giannetti, Cinzia, Borghini, Eugenio, Carr, Alex, Raleigh, James, Rackham, Ben

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Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation von O’Donovan, Callum, Popov, Ivan, Todeschini, Grazia, Giannetti, Cinzia

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Real-time monitoring of molten zinc splatter using machine learning-based computer vision von O’Donovan, Callum, Giannetti, Cinzia, Pleydell-Pearce, Cameron

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KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0 von Cao, Qiushi, Zanni-Merk, Cecilia, Samet, Ahmed, Reich, Christoph, Beuvron, François de Bertrand de, Beckmann, Arnold, Giannetti, Cinzia

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Risk based uncertainty quantification to improve robustness of manufacturing operations von Giannetti, Cinzia, Ransing, Rajesh S.

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Comparison of a Bat and Genetic Algorithm Generated Sequence Against Lead Through Programming When Assembling a PCB Using a Six-Axis Robot With Multiple Motions and Speeds von Griffiths, Christian, Giannetti, Cinzia, Andrzejewski, Kamil, Morgan, Adam

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A Hybrid Modelling Approach Based on Deep Learning for the Prediction of the Silicon Content in the Blast Furnace von Lakshmanan, Kayal, Karimi, Aurash, Carr, Alex, Wauters, Philippe, Auinger, Michael, Pleydell-Pearce, Cameron, Giannetti, Cinzia

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Data modelling and Remaining Useful Life estimation of rolls in a steel making cold rolling process von Lakshmanan, Kayal, Borghini, Eugenio, Beckmann, Arnold, Pleydell-Pearce, Cameron, Giannetti, Cinzia

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