Advancements in quantum computer hardware and software have paved the way for the application of quantum computing across various fields. With the development of computers with thousands of qubits, the power of quantu...
详细信息
Research on multi-label classification has developed from traditional single-modal analysis to complex classification using multiple modalities. However, single-modal input models are insufficient for effectively anal...
详细信息
In this paper, we propose a multi-dimensional feature aggregation channel estimation network (FACENet) based on self-attention to improve pilot-based channel estimation in orthogonal frequency division multiplexing (O...
详细信息
This study uses survey data and machine learning algorithms to forecast social media disorder in people. A total of 600 individuals answered questions on their social media usage patterns, internet habits, demographic...
详细信息
With the rapid advancements of computer vision technology, the application of multi-object tracking in complex scenes is receiving increasing attention. For example, occlusion and appearance changes in complex scenes,...
详细信息
Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegi...
详细信息
Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered *** forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing ***,an image can contain one or more types of *** study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial ***,images are divided into equal blocks to get scale-invariant *** law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing *** proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and ***(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and *** average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.
Federated learning is a machine learning framework that enables multiple participants to collaboratively train a shared model on local data without having to exchange data directly. This helps maintain data privacy, r...
详细信息
CONTEXT: Web applications are exposed to malicious accesses through the Internet. SQL injection (SQLi) attacks are still a typical threat to web application providers. Although recent studies proposed deep learning-ba...
详细信息
multi-factor authentication has become a widely employed method for verifying users and safeguarding sensitive information. This approach typically combines a password with an additional authentication factor, such as...
详细信息
暂无评论