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Summary

Prognosis and Health Management

Signal Processing

Tags

communication (1)

continual-learning (4)

data-analysis (1)

data-engineering (2)

data-visualization (1)

digital-twin (34)

electric-machine (1)

electric-motor (1)

electric-vehicle (8)

fault-detection (4)

fault-diagnostic (1)

induction-motor (1)

journalArticle (1)

machine-learning (12)

Clustering Methods

Deep Learning Zoo

Machine Learning Cheat Sheets

Unsupervised Machine Learning

Machine Learning in PHM

Machine Learning Zoo

SOTA (State of the Art) in Time Series

Classification Methods

New Machine Learning Algorithms

Model Order Reduction (MOR)

Parameter Choosing in ML

multi-sensor (1)

sepeda-listrik (1)

signal-processing (5)

time-series (8)

virtual-model (2)

visualization (3)

Categories

~Dailynote

3d

About

Arduino

Benefits of Unbalance Detection

BLDC

Continual Learning vs. Active Learnin

Continual-Learning

Data-Fusion

Dataset

Digital-Twin

Dt-Battery

Dt-Modeling

Dt-P2v

Electric-Motor

Electric-Vehicle

Few-shot Learning

Inter-Turn-vs-Inter-Coil-Fault

Iterative Filtering

LLM

ML

ML-in-PHM

Motor-Fault

Non-stationary in Electric Motor

Note

Paper-Book-Review

Paper-Plan

Parameter Choosing in ML

PHM

Physics-based Deep Learning

Python

Random

Research

Signal-Processing

Time-Series

Time-series Image Encoding

Torch-Tensor-Format

Unbalance

Visualization

Zotero

On this page

Parameter Choosing in ML

Parameter Choosing in ML

On this page

Parameter Choosing in ML

Parameter Choosing in ML

Hyperparameter Optimization

grid search

References

Tags

#machine-learning

Last updated on 3/8/2023