Results 141 to 150 of about 20,272,779 (202)

MicroNAS for memory and latency constrained hardware aware neural architecture search in time series classification on microcontrollers. [PDF]

Sci Rep
King T, Zhou Y, Röddiger T, Beigl M.
europepmc   +1 more source

AutoLDT: a lightweight spatio-temporal decoupling transformer framework with AutoML method for time series classification. [PDF]

Sci Rep
Wang P, Wang K, Song Y, Wang X.
europepmc   +1 more source

Prototype Learning for Medical Time Series Classification via Human-Machine Collaboration. [PDF]

Sensors (Basel)
Xie J, Wang Z, Yu Z, Ding Y, Guo B.
europepmc   +1 more source

Working memory load recognition with deep learning time series classification. [PDF]

Biomed Opt Express
Pang R, Sang H, Yi L, Gao C, Xu H, Wei Y, Zhang L, Sun J.   +7 more
europepmc   +1 more source

Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning. [PDF]

PLoS Comput Biol
Gao S, Chakraborty AK, Greiner R, Lewis MA, Wang H.   +4 more
europepmc   +1 more source

Time series classification of multi-channel nerve cuff recordings using deep learning. [PDF]

PLoS One
Gill APS, Zariffa J.
europepmc   +1 more source

IMU-Based Fitness Activity Recognition Using CNNs for Time Series Classification. [PDF]

Sensors (Basel)
Müller PN, Müller AJ, Achenbach P, Göbel S.   +3 more
europepmc   +1 more source

Time Series Classification [PDF]

Journal of Statistics Applications & Probability, 2013
Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. The nature time series data includes: large in data size, high dimensionality and necessary to update continuously. The increasing use of time series data has initiated a great deal of research and developing attempts in ...
M. M. Gabr, L. M. Fatehy
openaire   +2 more sources