“A new feature-based time series classification method by using scale-space extrema”-Reference-Cited by-同舟云学术

“A new feature-based time series classification method by using scale-space extrema”

Published:2021-12 Issue:6 Volume:24 Page:1490-1497
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Altay Tayip,Baydoğan Mustafa G.

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference41 articles.

1. Time-series data mining;Esling;ACM Computing Surveys (CSUR).,2012

2. Epileptic seizure identification using entropy of FBSE based EEG rhythms;Gupta;Biomed. Signal Process. Control,2019

3. Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications;Al-Hadeethi;Expert Syst. Appl.,2020

4. “ECG based atrial fibrillation detection using sequency ordered complex Hadamard transform and hybrid firefly algorithm.” Engineering Science and Technology, an;Kora;International Journal,2017

5. Elangovan, Ramanujam and Padmavathi S. “A Review on Time Series Motif Discovery Techniques an Application to ECG Signal Classification: ECG Signal Classification Using Time Series Motif Discovery Techniques.” IJAIML 9.2 (2019): 39-56. Web. 31 Oct. 2020. doi:10.4018/IJAIML.2019070103

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. quant: a minimalist interval method for time series classification;Data Mining and Knowledge Discovery;2024-05-22

2. Optimization of Convolutional Neural Networks for Classifying Power Quality Disturbances Using Wavelet Synchrosqueezed Transform;Traitement du Signal;2024-04-30

3. Time series classification with their image representation;Neurocomputing;2024-03

4. A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window;Electrical Engineering;2024-01-12

5. A New Comparative Approach Based on Features of Subcomponents and Machine Learning Algorithms to Detect and Classify Power Quality Disturbances;Electric Power Components and Systems;2023-09-28