109 天前 - … are evaluated using known data values, the time series … Neural network methods
use a mathematical model of … answers given, the high computational cost of training, and …

112 天前 - … of 2D CNNs, which is their computational complexity. This … effective and precise
biomedical signal processing, ultimately … engineering rather uses the neural networks to build a …

114 天前 - … as secure communications and neural networks (NN) has … , we review the emerging
areas of ASP applications in … very challenging and increases their complexity. Hence, it is …

114 天前 - … physical-based neural network hardware. Compared with … form large-scale complex
networks with unique dynamics … The nonlinear dynamics were evaluated by changing the …

115 天前 - … neural network (CNN). In order to efficiently capture … comprehensive review of
classification methods for ECG signal analysis… Furthermore, the computational complexity of SE is …

120 天前 - … through-tubing evaluation services. The ECC algorithm uses a neural network that
is … non-intrusive nature make it an attractive candidate for real-time, low-cost evaluations. …

123 天前 - … Detailed reviews and detailed classifications can be found in review publications
[5-7]. … street and road network of the city. - Research related to the use of neural networks. - …

123 天前 - … neural networks (CNN) or generative adversarial … scans as well as computational
complex registration and averaging … and is widely used in evaluating OCT denoising methods. …

123 天前 - … error-tolerant application, such as neural networks (NNs) and digital signal processing,
due … As case studies, two LFPM designs are presented and evaluated in applications of …

123 天前 - … On the other hand, there are some drawbacks including the computational cost …
neural network regression has a much lower estimation accuracy than the Gaussian process …