A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions — Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise — using a CNN model and ...

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

Furthermore, the method incorporates a two-way convolutional neural network to enhance model performance. Graph convolutional networks (GCNs) represent an important method for extracting structural ...

Abstract: Deep convolutional neural networks (DCNNs) have been widely deployed in real-world scenarios. However, DCNNs are easily tricked by adversarial examples, which present challenges for critical ...

The distribution of sample data before and after SVM SMOTE processing is listed in Table 1 ... it is necessary to flatten the high-dimensional features into one-dimensional array by convolution neural ...

However, weed detection is a complicated problem in the agriculture field. The main objective of this paper is to improve the accuracy of weed detection by combining generative adversarial networks ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

The true strength of multimodal AI lies in its ability to gather and interpret diverse data sources—whether imaging, genetic ...