Makale detayı · 2016
Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Atıf 132
Üst %10
Yüzdelik 95.0%
FWCI 4.68
- Yıl
- 2016
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Expert Systems with Applications
- Katalog eşleşmesi (ISSN) Expert Systems with Applications
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
132 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 14 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Parkinsons disease monitoring from gait analysis via foot-worn sensors 2018
- A Random Forest Method to Detect Parkinson’s Disease via Gait Analysis 2017
- A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features 2019
- A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features 2019
- Recognizing Parkinson's disease gait patterns by vibes algorithm and Hilbert-Huang transform 2021
- Local Pattern Transformation-Based convolutional neural network for sleep stage scoring 2023
- Local Pattern Transformation-Based convolutional neural network for sleep stage scoring 2023
- Estimation of neurological status from non-electroencephalography bio-signals by motif patterns 2019
- Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease. 2021
- Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease 2021