This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
INTRODUCTION: New modes of assessments are needed to evaluate of the authenticity of student learning in an artificial intelligence (AI) world. In mid-2023, we piloted a new assessment type; a collaborative group multimedia assessment with AI allowan...
IEEE journal of biomedical and health informatics
Mar 7, 2023
Telemedicine and online consultations with doctors has become very popular during the pandemic and involves the transmission of medical data through the internet. Thus this raises concern about the security of the medical data of the patient as the r...
Journal of environmental and public health
Sep 29, 2022
In order to improve the dynamic evaluation ability of medical image multimedia courseware-assisted teaching effect, the evaluation of medical image multimedia courseware-assisted teaching effect based on a deep learning algorithm is proposed. The sta...
Computational intelligence and neuroscience
Aug 12, 2022
In order to improve the efficiency of music teaching, this paper constructs a multimedia music teaching system based on artificial intelligence. Moreover, this paper focuses on the technical research of intraframe prediction, intraframe filtering, an...
Computational intelligence and neuroscience
May 25, 2022
In web design, we need to make full use of computer multimedia technology, which can effectively improve the quality of web design and provide greater convenience. The neural network needs to calculate a large amount of training data in image optimiz...
Computational intelligence and neuroscience
May 4, 2022
In order to cope with the challenges that operators face after the impact of diversified social channels in the field of interactive services, we actively build a new generation of intelligent interactive systems based on artificial intelligence tech...
Deep-learning technologies have shown impressive performance on many tasks in recent years. However, there are multiple serious security risks when using deep-learning technologies. For examples, state-of-the-art deep-learning technologies are vulner...
Computational intelligence and neuroscience
Apr 8, 2022
Aiming at the problem of prediction accuracy in network situation awareness, a network security situation prediction method based on a generalized radial basis function (RBF) neural network is proposed. This method uses the K-means clustering algorit...
Computational intelligence and neuroscience
Mar 19, 2022
Approximate computing is an upsurging technique to accelerate the process through less computational effort while keeping admissible accuracy of error-tolerant applications such as multimedia and deep learning. Inheritance properties of the deep lear...
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