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Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study.

, , , , , , , and . ICAAI, page 54-61. ACM, (2023)

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Fourier Transform and Machine Learning for Real-Time Monitoring of Froth Flotation in Mining Industry., , , , , , , and . CiSt, page 199-204. IEEE, (2023)Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach., , , , , , and . Comput. Chem. Eng., (January 2024)Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT., , , , , , , and . SITIS, page 218-225. IEEE, (2023)Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth., , , , , , , , and . DATA, page 89-96. SCITEPRESS, (2023)Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing., , , , , , , , and . SN Comput. Sci., 5 (4): 363 (April 2024)Digital Transformation of the Flotation Monitoring Towards an Online Analyzer., , , , , , , , , and 4 other author(s). SADASC, volume 1677 of Communications in Computer and Information Science, page 325-338. Springer, (2022)Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning., , , , , , , , , and 1 other author(s). Eng. Appl. Artif. Intell., (2024)Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry., , , , , , , , , and 1 other author(s). SADASC, volume 1677 of Communications in Computer and Information Science, page 411-424. Springer, (2022)Digital Twin Technology for Enhanced Health Monitoring, Maintenance, and Energy Efficiency of Electric Vehicles: E-mule Project., , , , , , , and . NISS, page 64:1-64:7. ACM, (2023)Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case., , , , , , , and . MEDI, volume 14396 of Lecture Notes in Computer Science, page 116-127. Springer, (2023)