Results 51 to 60 of about 1,601,810 (338)

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

, 2018
Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists.
Salem, Milad, Shiun-Yuan, Jiann, Taheri, Shayan   +2 more
core   +1 more source

Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression [PDF]

, 2022
Anu Jagannath, Jithin Jagannath
openalex   +1 more source

Power quality disturbance signal segmentation and classification based on modified BI‐LSTM with double attention mechanism

IET Generation, Transmission & Distribution
This paper proposes a recurrent neural network based model to segment and classify multiple combined multiple power quality disturbances (PQDs) from the PQD voltage signal.
Poras Khetarpal, Neelu Nagpal, Pierluigi Siano, Mohammed Al‐Numay   +3 more
doaj   +1 more source

Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals

IET Signal Processing, 2021
In order to make accurate judgements of rolling bearing main fault types using the small sample size fault data set, a novel approach is put forward that combines particle swarm optimisation kernel fuzzy C‐means (PSO‐KFCM) and variational mode ...
Yong Chang, Guangqing Bao, Sikai Cheng, Ting He, Qiaoling Yang   +4 more
doaj   +1 more source

The first comparative analysis of meteor echo and sporadic scattering identified by a self-learned neural network in EKB and MAGW ISTP SB RAS radar data

Solar-Terrestrial Physics, 2022
The paper describes the current version (v.1.1) of the algorithm for automatic classification of signals received by ISTP SB RAS decameter coherent scatter radars.
Berngardt O. I.
doaj   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

EEG Signal in Emotion Detection Feature Extraction and Classification using Fuzzy Based Feature Search Algorithm and Deep Q Neural Network in Deep Learning Architectures [PDF]

, 2023
Shailaja Kotte, J. R. K. Kumar Dabbakuti
openalex   +1 more source

A symmetric adaptive visibility graph classification method of orthogonal signals for automatic modulation classification

IET Communications, 2023
Visibility graph methods allow time series to mine non‐Euclidean spatial features of sequences by using graph neural network algorithms. Unlike the traditional fixed‐rule‐based univariate time series visibility graph methods, a symmetric adaptive ...
Haihai Bai, Jingjing Yang, Ming Huang, Wenting Li   +3 more
doaj   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle, Kiersten Ricci, Kelly Blache, Rebecca A. Marsh, Adrienne M. Hammill, Elissa Engel   +5 more
wiley   +1 more source

Classifiers With a Reject Option for Early Time-Series Classification

, 2013
Early classification of time-series data in a dynamic environment is a challenging problem of great importance in signal processing. This paper proposes a classifier architecture with a reject option capable of online decision making without the need to ...
Chira, Camelia, Hatami, Nima
core   +1 more source