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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

real-time DSP

biblio

Visible to the public Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs

Submitted by grigby1 on Mon, 12/10/2018 - 11:41am
  • osmotic microservice
  • graph-based approach
  • IIoT network fog layer
  • IIoT systems
  • Industrial IoT
  • industrial IoT network edges
  • IoT development costs
  • large scale industrial Internet of Things
  • Logic gates
  • low-level machine language
  • LSTM networks
  • network cloud layer
  • graph theory
  • real-time
  • real-time adaptive wavelet graphs
  • real-time DSP
  • real-time graph-based Coiflet wavelets
  • real-time systems
  • system complexities
  • wavelet analysis
  • Wavelet Graph
  • wavelet transforms
  • XAI deep learning pre-processing applications
  • deep learning
  • Internet of Things
  • resilience
  • pubcrawl
  • Resiliency
  • Scalability
  • Hardware
  • xai
  • learning (artificial intelligence)
  • artificial intelligence deep learning problem
  • communication network noise
  • data quality
  • Cloud Computing
  • delay time
  • delays
  • digital signal processing chips
  • digital signal processor
  • distributed computing
  • distributed edge computing
  • distributed osmotic computing approach
  • distributed processing
  • edge layer
  • explainable artificial intelligence

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