Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

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Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier

A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics Real Time Semantic Events Detection from Social Media Stream Community and Outliers Detection in Social Network Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithms Development and Validation of Parallel Acoustic Analysis Method for the Sound Field Design of a Larg Secret Audio Messages Hiding in Images Location Based Personal Task Reminder System Using GPS Technology Intelligent Systems Front Caster Capable of Reducing Horizontal Forces on Step Climbing Mobile Location Based Indexing for Range Searching Building Travel Speed Estimation Model for Yangon City from Public Transport Trajectory Data Comparison Between BlockEncoding and Quadtree Compression Methods for Raster Maps Deep Learning and its Applications Accuracy Improvement of AccelerometerBased Location Estimation Using Neural Network Transparent Object Detection Using Convolutional Neural Network Multilabel Land Cover Indices Classification of Satellite Images Using Deep Learning RealTime Hand Pose Recognition Using Faster RegionBased Convolutional Neural Network Data Mining and its Applications School Mapping for Schools of Basic Education in Myanmar GPUBased BSO for Rules Space Summarization Machine Learning Based Live VM Migration for Efficient Cloud Data Center Dynamic Replication Management Scheme for Distributed File System Frequent Pattern Mining for Dynamic Database by Using Hadoop GMTree and GTree

Investigation of the Use of Learning Management System Moodle in University of Computer Studies Mandalay

User Preference Information Retrieval by Using Multiplicative Adaptive Refinement Search Algorithm Proposed Framework for Stochastic Parsing of Myanmar Language Information Communication Systems and Applications FDTD Based Numerical Calculation of Electromagnetic Wave Radiation in Multilayer Circular Cylindric Improved Convergence in EddyCurrent Analysis by Singular Value Decomposition of Subdomain Problem Video Monitoring System and Applications A Study on Estrus Detection of Cattle Combining Video Image and Sensor Information Behavior Analysis for Nursing Home Monitoring System A Study on Detection of Abnormal Behavior by a Surveillance Camera Image A Study on Detection of Suspicious Persons for Intelligent Monitoring System A Study on Violence Behavior Detection System Between Two Persons Image and Multimedia Processing Object Detection and Recognition System for Pick and Place Robot Myanmar Rice Grain Classification Using Image Processing Techniques Color Segmentation Based on Human Perception Using Fuzzy Logic Key Frame Extraction Techniques A Study on Music Retrieval System Using Image Processing Irrawaddy Delta Myanmar Analysis of Land Cover Change Detection Using Satellite Images in Patheingyi Township Environmental Change Detection Analysis in Magway Division Myanmar

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Об авторе (2018)

Thi Thi Zin received her Ph.D. degree in the field of Image Processing in 2007 from Osaka City University, Japan. From 2007 to 2009, she was awarded a postdoctoral research fellowship of Japan Society for the Promotion of Science (JSPS). After the JSPS, she worked as a specially appointed researcher and specially appointed assistant professor at the University of Tokyo and Osaka City University until 2013. In 2016, she became a professor at the Faculty of Engineering, University of Miyazaki, Japan. Her research interests include human behavior understanding, intelligent transportation systems, cow behavior analysis, health care monitoring systems, and image recognition. She is a member of IEEE.

Jerry Chun-Wei Lin is currently an associate professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China. He has published more than 200 research papers (90 SCI papers) and international conferences. His research interests include data mining, soft computing, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. He is the Editor-in-Chief of the journal Data Science and Pattern Recognition (DSPR), associate editor of Journal of Network Intelligence, associate editor of Journal of Internet Technology (JIT), and the editorial board member of Intelligent Data Analysis (IDA). He is also the leader of SPMF project, which provides more than 130 data mining algorithms and has been widely cited in many different applications.

Библиографические данные

Название Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning
Advances in Intelligent Systems and Computing (Том 744)
Редакторы Thi Thi Zin , Jerry Chun-Wei Lin
Издатель Springer, 2018
ISBN 9811308691, 9789811308697
Количество страниц Всего страниц: 386
  
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