Artificial Intelligence and Mobile Services - AIMS 2022

11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings
1. Auflage 2022
ISBN: 978-3-031-23503-0
Verlag: Springer International Publishing

Buch, Englisch, Band 13729, 135 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g

Reihe: Lecture Notes in Computer Science

This book constitutes the proceedings of the 11th International Conference on Artificial Intelligence and Mobile Services, AIMS 2022, held as Part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. 
The 10 full papers presented in this volume were carefully reviewed and selected from 22 submissions.
The International Conference on AI & Mobile Services (AIMS 2022) aims at providing an international forum that is dedicated to exploring different aspects of AI (from technologies to approaches and algorithms) and mobile services (from business management to computing systems, algorithms, and applications) to promoting technological innovations in research and development of mobile services, including, but not limited to, wireless & sensor networks, mobile & wearable computing, mobile enterprise & eCommerce, ubiquitous collaborative & social services, machine-to-machine & Internet-of-things clouds, cyber-physical integration, and big data analytics for mobility-enabled services.

Zielgruppe

Research

Autoren/Hrsg.

Pan, Xiuqin

Zhang, Liang-Jie

Jin, Ting

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Research Track.- Push-Based Forwarding Scheme Using Fuzzy Logic to Mitigate the Broadcasting Storm Effect in VNDN.- DCRNNX: Dual-channel Recurrent Neural Network with Xgboost for Emotion Identification using Nonspeech Vocalizations.- STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation.- Application Track.- Frequently Asked Question Pair Generation for Rule and Regulation Document.- Chinese Text Classification Using BERT and Flat-Lattice Transformer.- Indicator-Specific Recurrent Neural Networks with Co-Teaching for Stock Trend Prediction.- SATMeas - An Object Detection and Measurement Approach: Canny Edge Detection Algorithm.- Multi-Classification of Electric Power Metadata based on Prompt-tuning.- Dual-branch Network Fused with Attention Mechanism for Clothes-Changing Person Re-identification.- Infant Cry Classification based-on Feature Fusion and Mel-spectrogram Decomposition with CNNs.