This work presents HUNBN, a fully digital in-memory-compute (DIMC) system-on-chip (SoC) implemented using 16-nm FinFET CMOS technology. Designed for edge convolution neural network (CNN) applications, ...

With the continuous development of electrical, automation, and artificial intelligence (AI) systems, ensuring the security of system data has become increasingly important. Compared to external ...

Accurate gas volume fraction (GVF) measurement in gas-liquid two-phase flow remains a key challenge in industrial process monitoring and control. In order to address this, a deep learning-based soft ...

Convolutional Neural Networks (CNNs) are widely used in vision tasks for resource-constrained environments due to their computational efficiency and strong generalization. However, the dominance of ...

The task is binary image classification: determine whether a 96 by 96 pixel histopathology patch contains tumor tissue in its central 32 by 32 region (label = 1) or not (label = 0). - Pull requests · ...

We present CNNExplorer, a generalized visualization system designed to assist beginners in understanding Convolutional Neural Networks (CNNs). CNNExplorer provides an intuitive interface and detailed ...

The administration of US President Donald Trump has lifted restrictions on exports of chip design software to China, as Washington and Beijing work to dial down hostilities as part of a recent ...

Firstly, feature parameters are extracted during the closing period of the conventional circuit breaker using SWT-STFT to form a high-dimensional feature dataset; Use CNN to adaptively extract ...