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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

k-nearest neighbors algorithm

biblio

Visible to the public Gait Phase Segmentation Using Weighted Dynamic Time Warping and K-Nearest Neighbors Graph Embedding

Submitted by aekwall on Mon, 02/22/2021 - 1:46pm
  • Dynamic Time Warping
  • weighted dynamic time warping algorithm
  • self-collected IMU gait signals
  • neural network-based graph embedding scheme
  • k-nearest neighbors graph embedding
  • k-nearest neighbors algorithm
  • k-nearest neighbors
  • inertial measurement units
  • gait phase segmentation method
  • gait phase estimates
  • gait information
  • gait cycle
  • nearest neighbour methods
  • nearest neighbor search
  • diseases
  • gait analysis
  • graph embedding
  • Predictive Metrics
  • image segmentation
  • Measurement
  • neural nets
  • graph theory
  • pubcrawl
biblio

Visible to the public An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under Attack

Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm
  • artificial intelligence applications
  • artificial intelligence security
  • signal classification
  • security-tuning
  • perturbation attack
  • parameters tuning
  • ML parameters
  • ML experts
  • ML algorithms
  • medical signal processing
  • k-nearest neighbors algorithm
  • input data perturbation attack
  • electroencephalography
  • electroencephalogram signals
  • EEG dataset
  • data classification
  • learning (artificial intelligence)
  • analytical framework
  • AI application
  • classification accuracy
  • tuning
  • testing
  • Prediction algorithms
  • Perturbation methods
  • machine learning algorithms
  • optimization
  • pubcrawl
  • Artificial Intelligence
  • security
  • machine learning
  • security of data

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