AIMC Topic: Learning

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

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

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 ...
Machine Learning Learning Recognition, Psychology
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Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

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...
Humans Neural Networks, Computer Artificial Intelligence Technology Learning Students Teaching
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Programming Molecular Systems To Emulate a Learning Spiking Neuron.

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 ...
Neural Networks, Computer Brain Learning Neurons
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Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network.

Computational intelligence and neuroscience May 26, 2022
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 ...
Humans Neural Networks, Computer Algorithms Learning Fuzzy Logic Sports Movement
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A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data.

Scientific reports May 25, 2022
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 ...
Machine Learning Delivery of Health Care Learning Privacy Data Collection
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Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.

Sensors (Basel, Switzerland) May 23, 2022
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 ...
Neural Networks, Computer Learning Data Collection Vibration Records
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CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification.

Sensors (Basel, Switzerland) May 20, 2022
Convolutional neural networks (CNNs) have been prominent in most hyperspectral image (HSI) processing applications due to their advantages in extracting local information. Despite their success, the locality of the convolutional layers within CNNs re...
Neural Networks, Computer Learning Image Processing, Computer-Assisted
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RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments.

Sensors (Basel, Switzerland) May 19, 2022
Autonomous navigation in dynamic environments where people move unpredictably is an essential task for service robots in real-world populated scenarios. Recent works in reinforcement learning (RL) have been applied to autonomous vehicle driving and t...
Humans Computer Simulation Learning Robotics Problem Solving Reinforcement, Psychology
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Inference-Based Posteriori Parameter Distribution Optimization.

IEEE transactions on cybernetics May 19, 2022
Encouraging the agent to explore has always been an important and challenging topic in the field of reinforcement learning (RL). Distributional representation for network parameters or value functions is usually an effective way to improve the explor...
Neural Networks, Computer Algorithms Research Design Learning Reinforcement, Psychology
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