Deliverables Documents, reports (8) ML Concept Report on selection of baseline machine learning algorithms ANN topologies and concepts for modifications optimizations and algorithm training Training Data Generation Report Report on training data generation for the three use cases It includes description of data produced by the consortium either gathered in field campaigns or in simulation It is linked to the output of tasks T41 T42 and T43 Evaluation ML Approaches Report on indepth evaluation and selection of ML approaches available on basis of D23 and D24 Verification & Demonstration Concept Report on concept for algorithm field validations usecase demonstrations and final joint field demonstration Algorithm Training & Optimization Results Report on the modified core ML algorithms and the results of preliminary training 2nd iteration with data collected in WP4 Training Data Concept Report on concepts for collection and generation of training data and algorithm testing taking into account D23 Sensor Concept Report on feasible sensor pairings and specifications based on results of D21 Use-Case Requirements Report describing the use cases and summarizing functional requirements for robotic systems for each use case Open Research Data Pilot (1) Data Management Plan This deliverable will formalize a data management plan according to the requirements of the Open Research Data Pilot Publications Peer reviewed articles (1) A convolutional vision transformer for semantic segmentation of side-scan sonar data Author(s): Hayat Rajani; Nuno Gracias; Rafael Garcia Published in: Ocean Engineering, Issue 286, 2023, Page(s) 115647, ISSN 0029-8018 Publisher: Pergamon Press Ltd. DOI: 10.1016/j.oceaneng.2023.115647 Conference proceedings (2) Creating Rich Metadata for Collaborative Research: Case Studies and Challenges Author(s): Backe, Christian; Gooran Orimi, Atefeh; Briken, Veit; Hamlaoui, Rayen; Görner, Hendrik Published in: NFDI4Ing Conference 2023, Issue 1, 2023 Publisher: ZENODO DOI: 10.5281/zenodo.8430752 Enhancing the underwater vision to increase the safety of heavy underwater works by Intersensory learning – a use case in the European DeeperSense research project Author(s): Christian Illing, Tom Becker Published in: Proceedings of MARESC 2921, 2021 Publisher: NN Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
