142 天前 - … The performance of the algorithms is evaluated with data from real … This work employs
signal processing and machine … employs convolutional and transformer neural networks. …

142 天前 - … Furthermore, this paper proposes to evaluate the … learning techniques, such as
neural networks [21,22], as … and another more complex) and (2) evaluation of the unbalanced …

143 天前 - … We implemented our network on Xilinx XCKU040 to evaluate … , if the signal is sampled
for signal processing with a … reduce the computation and design complexity for hardware …

144 天前 - … Our assessment outcomes on the application of … This approach is used to lessen
computational complexity and … spiking neural network (OSNN) approach for making time-…

145 天前 - … is a temporal spiking neural network, we have not ventured into the survey of
rate-coded spiking networks. Instead, we … Hence, we evaluated the computation cost as the …

147 天前 - … neural network or other methods, such as principal component … We also provide a
discussion on the computation cost … To evaluate our approach on MNIST, we first compared …

147 天前 - … CD, to the point where complex calculation is not a hassle for … with relatively-high
accuracy) evaluate the NE, and audibly … Neural Network (DCNN), to map preprocessed EEG …

149 天前 - … offers reduced computational complexity while preserving … ) structures in digital
signal processing. A scalable Multiply … to the literature review in the subject of neural network …

149 天前 - … the complexities of natural noise in time-series analysis. … Furthermore, comprehensive
evaluations were conducted … tailored for specific tasks in signal processing. In particular…

150 天前 - … within a short time, and at a low cost. The proposed … accuracy of a Convolutional
Neural Network (CNN) algorithm … of the behavior of UAVs, evaluation of ML methods beyond …