Artificial Intelligence and Mobile Services - AIMS 2021 [electronic resource] : 10th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings / edited by Yi Pan, Zhi-Hong Mao, Lei Luo, Jing Zeng, Liang-Jie Zhang.
Contributor(s): Pan, Yi [editor.]
| Mao, Zhi-Hong [editor.]
| Luo, Lei [editor.]
| Zeng, Jing [editor.]
| Zhang, Liang-Jie [editor.]
| SpringerLink (Online service)
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Research Track -- A Combination of Resampling Method and Machine Learning for Text Classification on Imbalanced Data -- A Privacy Knowledge Transfer Method for Clinical Concept Extraction -- Multimodal Social Media Sentiment Analysis Based on Cross-modal Hierarchical Attention Fusion -- Application Track -- Quantum Attention Based Language Model for Answer Selection -- LightBERT: A Distilled Chinese BERT Model -- Tool Recognition Based on Computer Vision in Nuclear Power Motor Maintenance Scene -- Manipulator Posture Estimation Method based on Multi-eye Vision and Key Point Detection -- 3D Pose Estimation of Manipulator based on Multi view -- Federated Learning for 6G Edge Intelligence: Concepts, Challenges and Solutions. .
This book constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Mobile Services, AIMS 2021, held as a virtual conference as part of SCF 2021, during December 10-14, 2021. The 9 full presented were carefully reviewed and selected from 20 submissions. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, mobile backend as a service (MBaaS), user experience of AI and mobile services.
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