AIMC Topic: Learning

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Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection.

IEEE transactions on neural networks and learning systems
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...

Study on the Design and Optimization of Learning Environment Based on Artificial Intelligence and Virtual Reality Technology.

Computational intelligence and neuroscience
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...

Analysis of the Effect of Artificial Intelligence on Role Cognition in the Education System.

Occupational therapy international
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...

Design and Implementation of 3D Animation Data Processing Development Platform Based on Artificial Intelligence.

Computational intelligence and neuroscience
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...

A Unified Model Using Distantly Supervised Data and Cross-Domain Data in NER.

Computational intelligence and neuroscience
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 ...

Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

Computational intelligence and neuroscience
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...

Programming Molecular Systems To Emulate a Learning Spiking Neuron.

ACS synthetic biology
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 ...

Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network.

Computational intelligence and neuroscience
In sports, because the movement of the human body is composed of the movements of the human limbs, and the complex and changeable movements of the human limbs lead to various and complicated movement modes of the entire human body, it is not easy to ...

A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data.

Scientific reports
Training on multiple diverse data sources is critical to ensure unbiased and generalizable AI. In healthcare, data privacy laws prohibit data from being moved outside the country of origin, preventing global medical datasets being centralized for AI ...

Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.

Sensors (Basel, Switzerland)
Data-driven rolling-bearing fault diagnosis methods are mostly based on deep-learning models, and their multilayer nonlinear mapping capability can improve the accuracy of intelligent fault diagnosis. However, problems such as gradient disappearance ...