Mobile Computing, Applications, and Services

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

Häftad, Engelska, 2020

Del i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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

Utgivningsdatum:2020-12-19
Mått:155 x 235 x 13 mm
Vikt:365 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:225
Förlag:Springer Nature Switzerland AG
ISBN:9783030642136

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT
Nätverk och kommunikation inom Data och IT

Innehållsförteckning

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.