AIMC Topic: Learning

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Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.

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...
Humans Neural Networks, Computer Machine Learning Learning Aged Radar
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Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.

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...
Machine Learning Learning
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TriATNE: Tripartite Adversarial Training for Network Embeddings.

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...
Neural Networks, Computer Algorithms Learning
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Research Review for Broad Learning System: Algorithms, Theory, and Applications.

IEEE transactions on cybernetics Aug 18, 2022
In recent years, the appearance of the broad learning system (BLS) is poised to revolutionize conventional artificial intelligence methods. It represents a step toward building more efficient and effective machine-learning methods that can be extende...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Learning
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ReLU-FCM trained by quasi-oppositional bare bone imperialist competition algorithm for predicting employment rate.

PloS one Aug 18, 2022
Fuzzy cognitive maps (FCMs) are a powerful tool for system modeling, which can be used for static and dynamic analysis. However, traditional FCMs are usually learned by gradient-based methods, and the adopted sigmoid nonlinear activation function fre...
Humans Algorithms Learning Fuzzy Logic Employment
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Molecular Design Method Using a Reversible Tree Representation of Chemical Compounds and Deep Reinforcement Learning.

Journal of chemical information and modeling Aug 12, 2022
Automatic design of molecules with specific chemical and biochemical properties is an important process in material informatics and computational drug discovery. In this study, we designed a novel coarse-grained tree representation of molecules (Reve...
Learning Drug Discovery Deep Learning Reinforcement, Psychology
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Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator.

Sensors (Basel, Switzerland) Aug 12, 2022
This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of...
Algorithms Computer Simulation Learning Robotics
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A Method for Evaluating the Quality of Mathematics Education Based on Artificial Neural Network.

Computational and mathematical methods in medicine Aug 12, 2022
Teaching quality evaluation (TQE) is an important link in the process of school teaching management. Evaluation indicators and teaching quality have a complicated and nonlinear connection that is influenced by several variables. Some of these drawbac...
Humans Neural Networks, Computer Learning Mathematics
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Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning.

Biological cybernetics Aug 11, 2022
From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal jo...
Humans Learning Robotics Movement Reinforcement, Psychology Musculoskeletal System
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Design and Optimization of Aesthetic Education Teaching Information Platform Based on Big Data Analysis.

Computational intelligence and neuroscience Aug 11, 2022
In the process of promoting school aesthetic education, some schools have some problems, such as insufficient construction of campus aesthetic education environment, lack of aesthetic thinking in various disciplines, and so on. In view of these probl...
Humans Artificial Intelligence Data Analysis Learning Students Esthetics Teaching
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