Computational intelligence and neuroscience
Aug 29, 2022
This exploration aims to study the value orientation and essence of early childhood enlightenment education based on the deep neural network (DNN). Based on the acquisition and feature learning of cross-media education big data, the DNN correlation l...
Computational intelligence and neuroscience
Aug 29, 2022
Current educational resources do not maximize energy efficiency, and scientific and proven teaching methods are necessary for today's university education to help achieve the integration of teaching resources and improve teaching quality. This study ...
Computational intelligence and neuroscience
Aug 29, 2022
The click-through rate (CTR) prediction task is used to estimate the probabilities of users clicking on recommended items, which are extremely important in recommender systems. Recently, the deep factorization machine (DeepFM) algorithm was proposed....
Journal of biomedical informatics
Aug 28, 2022
In recent years, the massive electronic medical records (EMRs) have supported the development of intelligent medical services such as treatment recommendations. However, existing treatment recommendations usually follow the traditional sequential rec...
Journal of biomedical informatics
Aug 28, 2022
Medical Visual Question Answering (VQA) targets at answering questions related to given medical images and it contains tremendous potential in healthcare services. However, researches on medical VQA are still facing challenges, particularly on how to...
Computational intelligence and neuroscience
Aug 24, 2022
Smart grid is regarded as an evolutionary regime of existing power grids. It integrates artificial intelligence and communication technologies to fundamentally improve the efficiency and reliability of power systems. One serious challenge for the sma...
Sensors (Basel, Switzerland)
Aug 21, 2022
Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which...
Sensors (Basel, Switzerland)
Aug 21, 2022
Fall detection in humans is critical in the prevention of life-threatening conditions. This is especially important for elderly people who are living alone. Therefore, automatic fall detection is one of the most relevant problems in geriatrics. Biora...
IEEE transactions on cybernetics
Aug 18, 2022
Unsupervised cross-domain fault diagnosis has been actively researched in recent years. It learns transferable features that reduce distribution inconsistency between source and target domains without target supervision. Most of the existing cross-do...
IEEE transactions on cybernetics
Aug 18, 2022
Existing network embedding algorithms based on generative adversarial networks (GANs) improve the robustness of node embeddings by selecting high-quality negative samples with the generator to play against the discriminator. Since most of the negativ...