Big data, cloud computing, and data science engineering

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Bibliographische Detailangaben
Körperschaft:	IEEE/ACIS International Conference on Big Data, Cloud Computing and Data Science (VerfasserIn)
Weitere Verfasser:	Lee, Roger (HerausgeberIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Cham, Switzerland Springer 2020
Schriftenreihe:	Studies in computational intelligence Volume 844
Schlagworte:	Big data > Cloud computing > Software engineering > Conference papers and proceedings > Konferenzschrift > Big Data > Cloud Computing > Software Engineering > Data Science
Online Zugang:	Inhaltsverzeichnis 1850-9999
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
IoTDoc: A Docker-Container Based Architecture of IoT-Enabled Cloud System	2020	Noor, Shahid
Learning Neural Circuit by AC Operation and Frequency Signal Output	2020	Kawaguchi, Masashi
Elevator Monitoring System to Guide User’s Behavior by Visualizing the State of Crowdedness	2020	Hasegawa, Haruhisa
Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis	2020	Zhao, Hongyu
Dimension Reduction by Word Clustering with Semantic Distance	2020	Deguchi, Toshinori
Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models	2020	Nishimatsu, Ken
Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks	2020	Imai, Shota
A Survival Analysis-Based Prioritization of Code Checker Warning: A Case Study Using PMD	2020	Aman, Hirohisa
Word-Emotion Lexicon for Myanmar Language	2020	Swe, Thiri Marlar
Norm-referenced Criteria for Strength of the Upper Limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment	2020	Kim, Su-Hyun
A Feature Point Extraction and Comparison Method Through Representative Frame Extraction and Distortion Correction for 360° Realistic Contents	2020	Park, Byeongchan
Robust Optimization Model for Designing Emerging Cloud-Fog Networks	2020	Tsujino, Masayuki
Release from the Curse of High Dimensional Data Analysis	2020	Shinmura, Shuichi