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Guest Editorial: AI for Efficiency and Sustainability in Assembly/Disassembly Industrial Processes.

, and . IEEE Trans. Ind. Informatics, 19 (5): 7145-7147 (May 2023)

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Combining supervised and unsupervised learning for data clustering., , and . Neural Comput. Appl., 15 (3-4): 289-297 (2006)Profiling risk sensibility through association rules., and . Expert Syst. Appl., 40 (5): 1484-1490 (2013)Context adaptation of mamdani fuzzy rule based systems., , and . Int. J. Intell. Syst., 23 (4): 397-418 (2008)Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems., , , and . KES Journal, 12 (5-6): 339-355 (2008)Relational clustering based on a dissimilarity relation extracted from data by a TS model., , and . SMC, page 3194-3199. IEEE, (2003)EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing., , , and . IEEE Trans. Ind. Informatics, 14 (3): 1089-1098 (2018)A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers., , and . Comput. Ind., (February 2024)A Distributed Commit Protocol for a Multicomputer System., , , and . IEEE Trans. Computers, 39 (5): 718-724 (1990)Approaching the ocean color problem using fuzzy rules., , , and . IEEE Trans. Syst. Man Cybern. Part B, 34 (3): 1360-1373 (2004)A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning., , , , , and . Neurocomputing, (2014)