1 天前 - … the accuracy of traditional sensors in resolving the complexities of multiphase
flow quantification and offers potential solutions for use in real-world industrial applications. …

2 天前 - … complexities is presented as a key factor for their success in industrial robotics and
automation applications… dataset generation process, as the goal is to evaluate the system's …

5 天前 - … The present study focused on signal analysis and system … The proposed model was
evaluated against various … to avoid excessive computational complexity and training burden…

14 天前 - … of the Transformers neural network architecture is rapidly changing many
applications. … and examine issues such as computational cost, model interpretability, fairness, …

15 天前 - … This comprehensive literature review covers a both … into the selection of signal
processing techniques that can be … to the complex nature of physiological signals and the unique …

17 天前 - … with three-layer architecture are mostly used to solve complex engineering problems
… tried to evaluate the effectiveness of artificial neural network and wavelet neural network …

18 天前 - … By training on a video before an assessment, they may reduce the time spent on …
That are returned by ReLU(R) after processing the data at its complex characteristics. The …

18 天前 - … The adopted method utilizes a Convolutional Neural Network (… The present paper
examines picture quality evaluation, … Computational Complexity: The proposed DRL model, …

21 天前 - … models; and the improvement of theoretical and methodological approaches to
the description of jump and impulse processes when combining the capabilities of complex …

23 天前 - … In this thesis, novel SCA techniques are proposed to evaluate cryptographic circuits
… extract time-frequency features, without increasing the complexity of the neural network. …