Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Wong, Timothy, Luo, Zhiyuan |
|---|---|
| Format: | Preprint |
| Published: |
2018
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection
by: Zhao, Youshen, et al.
Published: (2024)
by: Zhao, Youshen, et al.
Published: (2024)
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025)
by: Mazurek, Szymon, et al.
Published: (2025)
Quantized Approximately Orthogonal Recurrent Neural Networks
by: Foucault, Armand, et al.
Published: (2024)
by: Foucault, Armand, et al.
Published: (2024)
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
by: Leite, Daniel, et al.
Published: (2024)
by: Leite, Daniel, et al.
Published: (2024)
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
by: Ickin, Selim, et al.
Published: (2025)
by: Ickin, Selim, et al.
Published: (2025)
Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach
by: Bhattacharjee, Anindya, et al.
Published: (2026)
by: Bhattacharjee, Anindya, et al.
Published: (2026)
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
by: Mousavi, S. Muhammad Hossein
Published: (2025)
by: Mousavi, S. Muhammad Hossein
Published: (2025)
Reinforcement Learning Based Sensor Optimization for Bio-markers
by: Khandelwal, Sajal, et al.
Published: (2023)
by: Khandelwal, Sajal, et al.
Published: (2023)
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
by: Miccini, Riccardo, et al.
Published: (2024)
by: Miccini, Riccardo, et al.
Published: (2024)
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
by: Mani, Pranav, et al.
Published: (2020)
by: Mani, Pranav, et al.
Published: (2020)
ADMM-Based Training for Spiking Neural Networks
by: Perin, Giovanni, et al.
Published: (2025)
by: Perin, Giovanni, et al.
Published: (2025)
Backpropagation through space, time, and the brain
by: Ellenberger, Benjamin, et al.
Published: (2024)
by: Ellenberger, Benjamin, et al.
Published: (2024)
Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor
by: Lia, Ruixin, et al.
Published: (2024)
by: Lia, Ruixin, et al.
Published: (2024)
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks
by: Song, Zihang, et al.
Published: (2024)
by: Song, Zihang, et al.
Published: (2024)
Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
by: Hou, Dengzhe, et al.
Published: (2026)
by: Hou, Dengzhe, et al.
Published: (2026)
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
by: Li, Yuanhao, et al.
Published: (2024)
by: Li, Yuanhao, et al.
Published: (2024)
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
by: Wang, Dianhui, et al.
Published: (2024)
by: Wang, Dianhui, et al.
Published: (2024)
Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition
by: Ding, Yuqi, et al.
Published: (2025)
by: Ding, Yuqi, et al.
Published: (2025)
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
by: Cui, Yanjie, et al.
Published: (2024)
by: Cui, Yanjie, et al.
Published: (2024)
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
by: Abdennadher, Yesmine, et al.
Published: (2025)
by: Abdennadher, Yesmine, et al.
Published: (2025)
Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation
by: Mrazek, Vojtech, et al.
Published: (2025)
by: Mrazek, Vojtech, et al.
Published: (2025)
NNGPT: Rethinking AutoML with Large Language Models
by: Kochnev, Roman, et al.
Published: (2025)
by: Kochnev, Roman, et al.
Published: (2025)
Mamba-PTQ: Outlier Channels in Recurrent Large Language Models
by: Pierro, Alessandro, et al.
Published: (2024)
by: Pierro, Alessandro, et al.
Published: (2024)
Resonate-and-Fire Spiking Neurons for Target Detection and Hand Gesture Recognition: A Hybrid Approach
by: Shaaban, Ahmed, et al.
Published: (2024)
by: Shaaban, Ahmed, et al.
Published: (2024)
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
by: Lutes, Nathan, et al.
Published: (2024)
by: Lutes, Nathan, et al.
Published: (2024)
ENN: A Neural Network with DCT Adaptive Activation Functions
by: Martinez-Gost, Marc, et al.
Published: (2023)
by: Martinez-Gost, Marc, et al.
Published: (2023)
Explainable Dual-Attention Tabular Transformer for Soil Electrical Resistivity Prediction: A Decision Support Framework for High-Voltage Substation Construction
by: Kongkitkul, Warat, et al.
Published: (2025)
by: Kongkitkul, Warat, et al.
Published: (2025)
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
by: Annamalai, Lakshmi, et al.
Published: (2024)
by: Annamalai, Lakshmi, et al.
Published: (2024)
Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
by: Cratere, Angela, et al.
Published: (2025)
by: Cratere, Angela, et al.
Published: (2025)
Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification
by: Chen, Weiyu, et al.
Published: (2025)
by: Chen, Weiyu, et al.
Published: (2025)
Neural Memory Networks for Seizure Type Classification
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
by: Sunkara, Akshay, et al.
Published: (2024)
by: Sunkara, Akshay, et al.
Published: (2024)
On the Computational Complexities of Complex-valued Neural Networks
by: Mayer, Kayol Soares, et al.
Published: (2023)
by: Mayer, Kayol Soares, et al.
Published: (2023)
Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study
by: Lukyanenko, Platon, et al.
Published: (2024)
by: Lukyanenko, Platon, et al.
Published: (2024)
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
by: Yan, Zhanglu, et al.
Published: (2024)
by: Yan, Zhanglu, et al.
Published: (2024)
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models
by: Munkhdalai, Tsendsuren, et al.
Published: (2024)
by: Munkhdalai, Tsendsuren, et al.
Published: (2024)
Intelligent machines work in unstructured environments by differential neuromorphic computing
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Winner-takes-all learners are geometry-aware conditional density estimators
by: Letzelter, Victor, et al.
Published: (2024)
by: Letzelter, Victor, et al.
Published: (2024)
Neuromorphic FPGA Design for Digital Signal Processing
by: London, Justin
Published: (2026)
by: London, Justin
Published: (2026)
An Asynchronous Mixed-Signal Resonate-and-Fire Neuron
by: Leo, Giuseppe, et al.
Published: (2025)
by: Leo, Giuseppe, et al.
Published: (2025)
Similar Items
-
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection
by: Zhao, Youshen, et al.
Published: (2024) -
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025) -
Quantized Approximately Orthogonal Recurrent Neural Networks
by: Foucault, Armand, et al.
Published: (2024) -
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
by: Leite, Daniel, et al.
Published: (2024) -
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
by: Ickin, Selim, et al.
Published: (2025)