|
|
|
|
|
Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
ver más
|
|
|
|
|
|
|
|
|
|
|
N. V. Papulovskaya,I. N. Izotov,D. Yu. Blinichkin,A. Yu. Kataev
Pág. 38 - 45
The article deals with the testing problem that arises when developing devices for the Internet of Things (IoT) systems. Smart devices that provide data transmission over the Internet are becoming more and more popular. For example, energy metering devic...
ver más
|
|
|
|
|
|
|
|
|
|
|
A. V. Vodopianov, S. V. Golubev, I. V. Izotov, A. G. Nikolaev, E. M. Oks, K. P. Savkin, and G. Yu. Yushkov
Pág. 02A305
|
|
|
|
|
|
|
|
|
|
|
V. A. Skalyga, V. G. Zorin, I. V. Izotov, A. V. Sidorov, T. Lamy, P. Sortais, and T. Thuillier
|
|
|
|
|
|
|
|
|
|
|
A. Sidorov, A. Bokhanov, I. Izotov, S. Razin, V. Skalyga, V. Zorin, A. Balabaev, S. Kondrashev, R. Geller, T. Lamy, P. Sortais, T. Thuillier, and P. Spädtke
|
|
|
|
|
|