Active ankle-foot prostheses generate mechanical power during the push-off phase of gait, which can offer advantages over passive prostheses. However, these benefits manifest primarily in joint kinetics (e.g., joint work) and energetics (e.g., metabolic cost) rather than balance (whole-body ang...
It has been recognized that the two-phase version of the interrupted time-series design can be frequently modeled using a four-parameter design matrix. There are differences across writers, however, in the details of the recommended design matrices to be used in the estimation of the four parame...
Therefore, to ensure the stability of IoT infrastructure operation, anomaly detection of sensor data has high research value. In this paper, we propose a new multivariate time series anomaly detection structure that can effectively detect anomalies through an adversarial transformer structure. Additionally...
Time series simulations remain an active area of research—and a computationally demanding one—in many fields, including: Meteorology Finance Epidemiology Quantum chemistry Plasma physics In some of these cases, the fundamental rules of behavior are well understood, but it can still be ...
In the paper, we construct a new seasonal adjustment method of time series on the basis of the structural time series model. By researching the structure of economic time series using ARIMA model, we firstly establish the expression of trend-cycle component according to the order of integration ...
Time series methods are used in everyday operational decisions. For exam- ple, gas suppliers in the United Kingdom have to place orders for gas from the offshore fields one day ahead of the supply. Variation about the average for the time of year depends on temperature and, to some...
DesignSOM-VAEfor interpretable discrete representation learning on time series, and show that the latent probabilistic model in the representation learning architecture improves clustering and interpretability of the representations on time series 针对时间序列上的可解释离散表示学习设计了SOM-VAE,并表明在表示学...
His research interests include pattern recognition techniques related to speech, automatic target recognition and FPGA based system design. B. Venkataramani received the B.E. degree in Electronics and communication engineering from Regional Engineering College, Tiruchirappalli, India, in 1979 and the M....
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamical features. Several methods have been proposed for the analysis of multiv
This cheat sheet demonstrates 11 different classical time series forecasting methods; these are: Autoregression (AR) Moving Average (MA) Autoregressive Moving Average (ARMA) Autoregressive Integrated Moving Average (ARIMA) Seasonal Autoregressive Integrated Moving-Average (SARIMA) Seasonal Autoregressive...