Artificial Intelligence and Mobile Services – AIMS 2021
Springer International Publishing (Verlag)
978-3-030-96032-2 (ISBN)
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.
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.
Erscheinungsdatum | 15.02.2022 |
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Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
Zusatzinfo | XIII, 113 p. 41 illus., 29 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 207 g |
Themenwelt | Informatik ► Software Entwicklung ► Mobile- / App-Entwicklung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | AI & Mobile Applications • AI as a Service • AI Development Model and Framework • Applications • Artificial Intelligence • Computational Linguistics • Computer Networks • Computer Science • conference proceedings • Data Security • Deep learning • Image Processing • Image Segmentation • Informatics • Linguistics • machine learning • Mobile Services • Natural Language Processing (NLP) • pattern recognition • Research • robots • Signal Processing • Software Architectures • User Experience |
ISBN-10 | 3-030-96032-3 / 3030960323 |
ISBN-13 | 978-3-030-96032-2 / 9783030960322 |
Zustand | Neuware |
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