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Combining Deep Learning with Information Retrieval to Localize Buggy Files for Bug Reports (N)., , , and . ASE, page 476-481. IEEE Computer Society, (2015)A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process., , , , , , and . ICPS, page 62-66. IEEE, (2020)Interoperability for Industrial Internet of Things Based on Service-oriented Architecture., , and . IECON, page 1-6. IEEE, (2021)Applying semantics into Service-oriented IoT Framework., and . INDIN, page 206-213. IEEE, (2019)A Performance Evaluation of OWL 2 DL Reasoners using ORE 2015 and Very Large Bio Ontologies., , and . ESWC Workshops, volume 3443 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Let the Asset Decide: Digital Twins with Knowledge Graphs., , , , , and . ICSA Companion, page 35-39. IEEE, (2022)Security Orchestration with Explainability for Digital Twins-Based Smart Systems., , , and . COMPSAC, page 1194-1203. IEEE, (2024)Towards the Automation of a Chemical Sulphonation Process with Machine Learning., , , , , , and . ICCMA, page 352-357. IEEE, (2019)Bug localization with combination of deep learning and information retrieval., , , and . ICPC, page 218-229. IEEE Computer Society, (2017)Implementing OPC-UA services for Industrial Cyber-Physical Systems in Service-Oriented Architecture., and . IECON, page 5486-5492. IEEE, (2019)