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Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach., , , , , , и . Comput. Chem. Eng., (января 2024)The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines., , , , , , и . Sensors, 23 (9): 4294 (2023)Graph-based tag recommendations using clusters of patients in clinical decision support system., , и . Concurr. Comput. Pract. Exp., (2021)Towards a folksonomy graph-based context-aware recommender system of annotated books., , , и . J. Big Data, 8 (1): 67 (2021)Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT., , , , , , , и . SITIS, стр. 218-225. IEEE, (2023)SOA for the masses: End users as services composers., , и . AICCSA, стр. 1-4. IEEE Computer Society, (2013)Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage., и . J. Univers. Comput. Sci., 27 (7): 714-733 (2021)Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth., , , , , , , , и . DATA, стр. 89-96. SCITEPRESS, (2023)The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses., , , и . IEEE Big Data, стр. 4463-4472. IEEE, (2022)A Graph-Based Model for Tag Recommendations in Clinical Decision Support System., , , и . MEDI, том 11163 из Lecture Notes in Computer Science, стр. 292-300. Springer, (2018)