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What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...
Advanced Persistent Threat (APT) is a highly targeted, complex, and long-term attack targeting specific organizations or individuals, aimed at stealing sensitive data or disrupting operations. APT is ...
As one of the fundamental tasks in aerial image understanding, multi-label aerial image scene classification attracts increasing research interest. In general, the semantic category of a scene is ...
Implemented Image captioning is becoming a need. Deep neural network models enable integrated applications to generate and caption images. Image captioning describes an image. It requires identifying ...
Two supervised machine learning methods, among them Support Vector Machine (SVM) and Artificial Neural Networks (ANN), are employed in Network Intrusion Detection to identify whether the data ...
Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown, and the mismatch between the model and the ...
Remote sensing images often suffer from color distortion, which can pose significant challenges for accurate data interpretation. To overcome this issue, this study developed a new approach called the ...
With the widespread application of deep learning and Convolutional Neural Networks (CNN) in image classification, how to effectively improve model performance and reduce its complexity has become a ...
In recent years, with the development of social economy and technology, the brain-computer interface based on motor imagery(MI-BCI) has gradually become the focus content of many re-searchers. However ...
The classification of human actions has become an important topics in recent researches. Typically the function of recognition human action is converted to the function of classifying the image that ...
Convolutional neural network is a variant of deep neural network. It is widely used to extract image features and used in image classification, image generation and style transfer. In the style ...
Artificial neural network (ANN) which has four or more layers structure is called deep NN (DNN) and it is recognized as one of promising machine learning techniques. Convolutional neural network (CNN) ...
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