14 hours ago · This detection method can be generally categorized into two types: two-stage approaches and one-stage approaches.

20 hours ago · Deep learning methods have achieved great success in vehicle and pedestrian detection in recent years. These methods use deep neural networks to learn feature ...

13 hours ago · The study explores the use of advanced deep learning models, specifically ResNet50, VGG19, EfficientNetB7, and the Vision Transformer (ViT_b16), for the first ...

7 hours ago · The driver recognition model (A-LSTM in a later section) uses LSTM to process EEG, eye movement, and ECG indicators through two LSTM layers to extract time- ...

15 hours ago · An advanced subcategory of machine learning, wherein multilayered neural networks are used to identify complex patterns in huge datasets.

8 hours ago · This paper proposes a BERT-based traffic classifier that combines a CNN, BiLSTM and self-attention mechanisms to enhance traffic classification performance ...

13 hours ago · Deep learning models are powerful algorithms that have witnessed a recent increase in literature for detection, segmentation and recognition. The ...

10 hours ago · Explore various deep learning models used in alternative approaches to machine learning, enhancing understanding and application. | Restackio.

5 hours ago · The main purpose of this Special Issue is to share high-quality original research articles and reviews in the area of fault diagnosis based on deep learning ...

6 hours ago · An AI accelerator is a hardware designed to improve the performance and efficiency of artificial intelligence, deep learning, and machine learning algorithms ...