How to Get Enriched Metadata? A Multi‐modal Model Fusion Strategy for Automatic Metadata Enhancement in GLAM Art Collections
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.1345
Abstract: Cultural heritage resource metadata is the foundation and precious asset for GLAM institutions to provide knowledge services which enables users to efficiently search relevant collection information. However, current GLAM institutions (e.g. museums), face significant challenges… read more here.
Keywords: model fusion; automatic metadata; multi modal; metadata ... See more keywords
Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3110908
Abstract: The computing power of various Internet of Things (IoT) devices is quite different. To enable IoT devices with lower computing power to perform machine learning, all nodes can only train smaller models, which results in… read more here.
Keywords: model fusion; heterogeneous model; fusion federated; federated learning ... See more keywords
Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion
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DOI: 10.1109/lra.2020.3048652
Abstract: Understanding pedestrian behaviors is crucial for a safe navigation of self-driving vehicles. However, pedestrians exhibit a large variety in their motion behaviors that are affected by interaction with the environment and other users of the… read more here.
Keywords: model; similarity based; model fusion; multi model ... See more keywords
Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3176475
Abstract: The data generated by modern industrial processes often exhibit high-dimensional, nonlinear, timing, and multiscale characteristics. Presently, most of the fault diagnosis methods based on deep learning only consider the part of the characteristics of industrial… read more here.
Keywords: model fusion; diagnosis; feature; model ... See more keywords
Dual-Model Fusion Method Based on DBTBoost for Fault Diagnosis
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DOI: 10.1109/tim.2025.3565101
Abstract: With the intelligent upgrading of manufacturing equipment, high precision and efficiency fault diagnosis improves the stability and productivity. To detect the fault state accurately, the fault diagnosis methods based on dual-model fusion are widely used.… read more here.
Keywords: fusion; dual model; model; fault diagnosis ... See more keywords
Optical filtering impairment monitoring based on model fusion for optical networks.
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DOI: 10.1364/oe.460951
Abstract: Reconfigurable optical add-and-drop multiplexer (ROADM) is a key element in optical networks. As several ROADMs are cascaded over long paths, the penalty induced by ROADM has become non-negligible due to the tight optical filtering. In… read more here.
Keywords: model fusion; optical networks; based model; model ... See more keywords