Big Data, Cloud Computing, and Data Science Engineering
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Big Data, Cloud Computing, and Data Science Engineering

Big Data, Cloud Computing, and Data Science Engineering


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About the Book

Robust Optimization Model for Designing Emerging Cloud-Fog Networks.- Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks.- Learning Neural Circuit by AC Operation and Frequency Signal Output.- IoTDoc: A Docker-Container based Architecture of IoT-enabled cloud system.- A Survival Analysis-Based Prioritization of Code CheckerWarning: A Case Study using PMD.- Elevator Monitoring System to Guide User's Behavior by Visualizing the State 0f Crowdedness.- Choice Behavior Analysis of Internet Access Services Using Supervised Learning Models.- Norm-referenced Criteria for Strength of the Upper limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment.- A Feature Point Extraction and Comparison Method through Representative Frame Extraction and Distortion Correction for 360 Degree Realistic Contents.- Dimension Reduction by Word Clustering with Semantic Distance.- Word-Emotion Lexicon for Myanmar Language.- Release from the Curse of High Dimensional Data Analysis.- Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis.- Index.


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Product Details
  • ISBN-13: 9783030244071
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 214
  • Series Title: Studies in Computational Intelligence
  • Weight: 376 gr
  • ISBN-10: 3030244075
  • Publisher Date: 14 Aug 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 12 mm
  • Width: 156 mm


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Big Data, Cloud Computing, and Data Science Engineering
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