AIMC Topic:
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A new ensemble residual convolutional neural network for remaining useful life estimation.

Mathematical biosciences and engineering : MBE Jan 28, 2019
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry. It defined as the length from the current time to the end of the useful life. With the rapid development of...
Longevity Neural Networks, Computer Algorithms Deep Learning Computer Simulation Prognosis Time Factors Learning Support Vector Machine Fuzzy Logic Internet Linear Models
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[The construction of learning environment on cognitive disorders' assessment based on artificial intelligence].

Nihon Ronen Igakkai zasshi. Japanese journal of geriatrics Jan 1, 2019
Learning Risk Assessment Cognition Disorders Humans Artificial Intelligence
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Semisupervised category learning facilitates the development of automaticity.

Attention, perception & psychophysics Jan 1, 2019
In the human category of learning, learning is studied in a supervised, an unsupervised, or a semisupervised way. The rare human semisupervised category of learning studies all focus on early learning. However, the impact of the semisupervised catego...
Female Young Adult Adult Humans Learning Supervised Machine Learning Male Photic Stimulation Adolescent Feedback, Psychological Reaction Time
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[Artificial intelligence for future MD].

Giornale italiano di nefrologia : organo ufficiale della Societa italiana di nefrologia Dec 1, 2018
Health care workers need artificial intelligence. Artificial intelligence is a set of studies and techniques that tend to the realization of machines, which solve complex problems automatically, simulating or emulating human intelligence activities. ...
Education, Medical Medical Informatics Speech Recognition Software Robotics Intelligence Symbolism Artificial Intelligence Machine Learning Algorithms Humans Forecasting Neural Networks, Computer Computers Learning
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A review of abstract concept learning in embodied agents and robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Aug 5, 2018
This paper reviews computational modelling approaches to the learning of abstract concepts and words in embodied agents such as humanoid robots. This will include a discussion of the learning of abstract words such as 'use' and 'make' in humanoid rob...
Concept Formation Robotics Models, Psychological Humans Learning Speech
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Biosignal Data Augmentation Based on Generative Adversarial Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we propose a synthetic generationmethod for time-series data based on generative adversarial networks (GANs) and apply it to data augmentation for biosinal classification. GANs are a recently proposed framework for learning a generativ...
Humans Neural Networks, Computer Learning
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Unsupervised Phase Learning and Extraction from Repetitive Movements.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Phase extraction from repetitive movements is one crucial part in various applications such as interactive robotics, physical rehabilitation, or gait analysis. However, pre-existing automatic phase extraction techniques are specific to a target movem...
Robotics Movement Upper Extremity Learning Animals Rats Humans Neural Networks, Computer
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γ-Aminobutyric Acid Type A Receptor Potentiation Inhibits Learning in a Computational Network Model.

Anesthesiology Jul 1, 2018
BACKGROUND: Propofol produces memory impairment at concentrations well below those abolishing consciousness. Episodic memory, mediated by the hippocampus, is most sensitive. Two potentially overlapping scenarios may explain how γ-aminobutyric acid re...
Humans Memory Neural Networks, Computer Receptors, GABA-A Neuronal Plasticity GABA-A Receptor Agonists Computer Simulation Anesthetics, Intravenous Hippocampus Learning Propofol
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Self-Taught Robots.

Scientific American Feb 20, 2018
Robotics Forecasting Humans Human Body Brain Neural Networks, Computer Exploratory Behavior Learning
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Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning.

Journal of neural engineering Feb 1, 2018
OBJECTIVE: Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit h...
Rats Rats, Sprague-Dawley Action Potentials Neural Networks, Computer Male Learning Cerebellum Computer Systems Animals Blinking Neural Prostheses
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