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 …

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 …

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 …

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 …

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 …

In recent years, with the continuous development of the electric power industry in China, the
per capita electricity consumption is increasing, and the scale of the power grid is also …

The most important purpose of standardization of digital learning resources is the reuse and
sharing of resources, so that digital resources can be exchanged in heterogeneous systems …