Computational intelligence and neuroscience
Jun 2, 2022
The path-planning approach plays an important role in determining how long the mobile robots can travel. To solve the path-planning problem of mobile robots in an unknown environment, a potential and dynamic Q-learning (PDQL) approach is proposed, wh...
IEEE transactions on neural networks and learning systems
Jun 1, 2022
Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to scholarly data, that is, anomaly detection in a citation network. Cit...
IEEE transactions on neural networks and learning systems
Jun 1, 2022
Anomaly detection is an important data mining task with numerous applications, such as intrusion detection, credit card fraud detection, and video surveillance. However, given a specific complicated task with complicated data, the process of building...
IEEE transactions on neural networks and learning systems
Jun 1, 2022
Abnormal behaviors in industrial systems may be early warnings on critical events that may cause severe damages to facilities and security. Thus, it is important to detect abnormal behaviors accurately and timely. However, the anomaly detection probl...
Computational intelligence and neuroscience
May 31, 2022
More than half of the universities have recently added advanced technical courses for their students. The specialised courses would be the backbone to keep the students' knowledge updated. In that case, artificial intelligence (AI) and virtual realit...
Occupational therapy international
May 30, 2022
Taking the entire education system in Taiyuan City, Shanxi Province, Central China, as an example, this paper uses the questionnaire survey method to analyze the effect of artificial intelligence (AI) on role cognition in the education system. The ed...
Computational intelligence and neuroscience
May 30, 2022
Based on the whole process of computer-aided technology, a 3D animation data processing development platform based on artificial intelligence is designed and implemented. A random forest model for animation data processing and development is designed...
Computational intelligence and neuroscience
May 29, 2022
Named entity recognition (NER) systems are often realized by supervised methods that require large hand-annotated data. When the hand-annotated data is limited, distantly supervised (DS) data and cross-domain (CD) data are usually used separately to ...
Computational intelligence and neuroscience
May 28, 2022
In recent years, with the rapid development of science and technology, traditional teaching methods and concepts have been frequently impacted. Artificial neural network shows excellent intelligence because of its powerful nonlinear processing abilit...
ACS synthetic biology
May 27, 2022
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli to enable learning. An interesting feature of Hebbian learning is that it is an unsupervised method and, as such, does not require feedback, making it suitable in contexts ...