Mobile Computing, Applications, and Services

11th EAI International Conference, MobiCASE 2020, Shanghai, China, September 12, 2020, Proceedings

Häftad, Engelska, 2020

Av Jing Liu, Honghao Gao, Yuyu Yin, Zhongqin Bi

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This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2020, held in Shanghai, China, in September 2020.

Produktinformation

Utgivningsdatum2020-12-19
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor225
FörlagSpringer Nature Switzerland AG
ISBN9783030642136

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it

Mobile Application and Framework.- BullyAlert-A Mobile Application for AdaptiveCyberbullying Detection.- An Optimization of Memory Usage based on the Android Low Memory Management Mechanisms.- Design of A Security Service Orchestration Framework for NFV.- An Edge-Assisted Rendering Framework for Industrial IoT OBNAI: An Outlier Detection-based Framework for Supporting Network-Attack Identification over 5G Environment.- Advanced Data Analysis.- Image Classification of Brain Tumors Using Improved CNN Framework with Data Augmentation.- Evaluating the Effectiveness of Inhaler Use Among COPD Patients via Recording and Processing Cough and Breath Sounds from Smartphones.- Safe Navigation by Vibrations on a Context-Aware and Location-Based Smartphone and Bracelet Using IoT Key Location Discovery of Underground Personnel Trajectory based on Edge Computing.- An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping For Power Load Curve Analysis.- AI Application.- Research on Text Sentiment Analysis Based on Attention C_MGU.- Inception Model Of Convolutional Auto-Encoder For Image Denoising.- Detection and Segmentation of Graphical Elements on GUIs for Mobile Apps Based on Deep Learning.- Approximate Sub-Graph Matching Over Knowledge Graph.- Metamorphic Testing for Plant Identification Mobile Applications Based on Test Contexts.