ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.11527
  4. Cited By
An artificial neural network-based system for detecting machine failures
  using tiny sound data: A case study

An artificial neural network-based system for detecting machine failures using tiny sound data: A case study

23 September 2022
Thanh Tran
S. Bader
J. Lundgren
ArXiv (abs)PDFHTML

Papers citing "An artificial neural network-based system for detecting machine failures using tiny sound data: A case study"

5 / 5 papers shown
Title
Detecting Drill Failure in the Small Short-sound Drill Dataset
Detecting Drill Failure in the Small Short-sound Drill Dataset
Thanh Tran
Nhat Truong Pham
J. Lundgren
37
2
0
25 Aug 2021
q-VAE for Disentangled Representation Learning and Latent Dynamical
  Systems
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
Taisuke Kobayashis
BDLDRL
63
18
0
04 Mar 2020
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
87
2,354
0
06 Jun 2019
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
373
25,646
0
09 Jun 2011
1