Explore the VGG architecture, a widely-used convolutional neural network (CNN) model known for its simplicity and performance ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

This study utilizes deep learning to enhance kiwifruit disease identification by evaluating eight advanced convolutional neural network (CNN) architectures on real-world field data. Among these, ...

The methodology encompassed the structured loading of biometric data, facial detection using the Multi-Task Cascaded Convolutional Neural Network (MTCNN ... leveraging YOLO version 8 architecture for ...

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

physics_informed_neural_network/ ├── app/ # FastAPI application │ ├── __init__.py │ ├── api/ # API endpoints │ │ ├── __init__.py ...

GoogLeNet: In the GoogLeNet architecture, a new “Inception” subnetwork module ... while simultaneously reducing dimensionality. The network comprises 22 layers that require training (or 27 if pooling ...

In this paper, we propose a framework based on hierarchical convolutional neural networks (CNNs) for automatic detection and classification of focal liver lesions (FLLs) in multi-phasic computed ...