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Artificial Intelligence and Mobile Services – AIMS 2018 7th International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings
Title
Artificial Intelligence and Mobile Services – AIMS 2018 [electronic resource] : 7th International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings / edited by Marco Aiello, Yujiu Yang, Yuexian Zou, Liang-Jie Zhang.
ISBN
9783319943619
Publication
Cham : Springer International Publishing : Imprint: Springer, 2018.
Physical Description
XII, 261 p. 96 illus : online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the proceedings of the International Conference on Artificial Intelligence and Mobile Services, AIMS 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 20 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover different aspects of mobile services from business management to computing systems, algorithms and applications. They promote technological technological innovations in research and development of mobile services, including, but not limited to, wireless and sensor networks, mobile and wearable computing, mobile enterprise and eCommerce, ubiquitous collaborative and social services, machine-to-machine and Internet-of-things, clouds, cyber-physical integration, and big data analytics for mobility-enabled services.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 02, 2018
Series
Lecture Notes in Computer Science, 10970
Contents
A Two-Stage Bi-LSTM Model for Chinese Company Name Recognition
Multi-modal Multi-scale Speech Expression Evaluation in Computer-Assisted Language Learning
From Global to Local: Local Popularity Prediction Using Context-embedded LSTM Recurrent Network
Matching Low-Quality photo to DSLR-Quality with Deep Convolutional Networks
Learning Frame-Level Recurrent Neural Networks Representations for Query-by-Example Spoken Term Detection on Mobile Devices
Plant Identification based on Image Set Analysis
Economic Index Forecasting via Multi-Scale Recursive Dynamic Factor Analysis
Sub-Goal Oriented A* Search
Towards Efficient Mobile Augmented Reality in Indoor Environments
MAD-API: Detection, Correction and Explanation of API Misuses in Distributed Android Applications
Relaxed Event-triggered Control of Networked Control Systems under Denial of Service Attacks
Sentiment Analysis Based on Hybrid Bi-Attention mechanism in Mobile Application
Automotive Diagnostics as a Service: An Artificially Intelligent Mobile Application for Tire Condition Assessment
AICDS: An infant crying detection system based on lightweight convolutional neural network
Exploring Trends of Lung Cancer Research Based on Word Representation
Effective Facial Obstructions Removal With Enhanced Cycle-Consistent Generative Adversarial Networks
Applied Analysis of Social Network Data in Personal Credit Evaluation
Deep Neural Network Based Frame Reconstruction For Optimized Video Coding
Detection and tracking of moving objects system for indoor mobile robots with a low-cost laser scanner
Using IT/IS Applications to Empower Physically Challenged Individuals to Enjoy a High Quality of Life.
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