Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

This paper presents an extensive literature review on Binary Neural Network (BNN). BNN
utilizes binary weights and activation function parameters to substitute the full-precision …

Activation function has a significant impact on the dynamics, convergence, and performance
of deep neural networks. The search for a consistent and high-performing activation function …

Convolutional Neural Networks (CNNs) have received great attention in the computer vision
domain. However, CNNs are vulnerable to adversarial attacks, which are manipulations of …

Accurate and efficient pixel-wise segmentation of wood panels is crucial for enabling
machine vision technologies to optimize the sawing process. Traditional image …

The significant increase in electric vehicle demand (EV) has highlighted the importance of
environment-conscious and erudite architecture for speed control methods. The speed …

This study proposes a novel method for jujube maturity and water content determination
incorporating fractal theory. Firstly, the tissue section images of winter jujube at different …

Merení genové exprese je nezbytné pro porozumení bunecným procesum a stavum v
rozlicných experimentálních podmínkách, což je potreba v ruzných oblastech …

Merení genové exprese je nezbytné pro porozumení bunecným procesum a stavum v
rozlicných experimentálních podmínkách, což je potreba v ruzných oblastech …

The problem of portfolio optimization calculation is a hot and difficult issue of interest. The
current research on it mainly focuses on traditional measurement methods, but these …