AIMC Topic: Normal Distribution

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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Models, Statistical Equipment Design Signal Processing, Computer-Assisted Body Temperature Adolescent Support Vector Machine Monitoring, Physiologic Female Respiration Temperature Signal-To-Noise Ratio Thermography Reproducibility of Results Humans Infrared Rays Stochastic Processes Sensitivity and Specificity Normal Distribution Artificial Intelligence Male Respiratory Rate Young Adult Algorithms Adult
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Deep neural networks with a set of node-wise varying activation functions.

Neural networks : the official journal of the International Neural Network Society Mar 9, 2020
In this study, we present deep neural networks with a set of node-wise varying activation functions. The feature-learning abilities of the nodes are affected by the selected activation functions, where the nodes with smaller indices become increasing...
Humans Neural Networks, Computer Principal Component Analysis Normal Distribution
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A convolutional neural network-based model observer for breast CT images.

Medical physics Feb 29, 2020
PURPOSE: In this paper, we propose a convolutional neural network (CNN)-based efficient model observer for breast computed tomography (CT) images.
Normal Distribution Least-Squares Analysis Breast Signal-To-Noise Ratio Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer
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Coding with transient trajectories in recurrent neural networks.

PLoS computational biology Feb 13, 2020
Following a stimulus, the neural response typically strongly varies in time and across neurons before settling to a steady-state. While classical population coding theory disregards the temporal dimension, recent works have argued that trajectories o...
Software Computer Simulation Computational Biology Models, Neurological Humans Neural Networks, Computer Normal Distribution Neurons Synapses Linear Models
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Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Computational and mathematical methods in medicine Feb 12, 2020
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replac...
Magnetic Resonance Imaging Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Normal Distribution Humans Neuroimaging Fuzzy Logic Brain Mapping Entropy Algorithms Multimodal Imaging Models, Statistical Brain Reproducibility of Results Image Processing, Computer-Assisted
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On the localness modeling for the self-attention based end-to-end speech synthesis.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2020
Attention based end-to-end speech synthesis achieves better performance in both prosody and quality compared to the conventional "front-end"-"back-end" structure. But training such end-to-end framework is usually time-consuming because of the use of ...
Humans Normal Distribution Communication Devices for People with Disabilities Neural Networks, Computer Speech Attention
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Comparison of Two Bayesian-MCMC Inversion Methods for Laboratory Infiltration and Field Irrigation Experiments.

International journal of environmental research and public health Feb 10, 2020
Bayesian parameter inversion approaches are dependent on the original forward models linking subsurface physical properties to measured data, which usually require a large number of iterations. Fast alternative systems to forward models are commonly ...
Soil Principal Component Analysis Bayes Theorem Neural Networks, Computer Normal Distribution
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A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.

Sensors (Basel, Switzerland) Jan 28, 2020
In order to meet the increasing demands of mobile service robot applications, a dedicated perception module is an essential requirement for the interaction with users in real-world scenarios. In particular, multi sensor fusion and human re-identifica...
Exercise Rehabilitation User-Computer Interface Hospitals, Public Image Processing, Computer-Assisted Walking Humans Posture Face Robotics Probability Normal Distribution Color Benchmarking
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A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants.

Journal of neural engineering Jan 14, 2020
OBJECTIVE: To classify sleep states using electroencephalogram (EEG) that reliably works over a wide range of preterm ages, as well as term age.
Infant, Newborn Neural Networks, Computer Electroencephalography Sleep Stages Markov Chains Databases, Factual Humans Infant, Premature Algorithms Brain Normal Distribution
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A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 13, 2020
Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data captured with a sensory system. Despite the essential role of rehabili...
Biomechanical Phenomena Deep Learning Treatment Outcome Automation Normal Distribution Exercise Therapy Healthy Volunteers Neural Networks, Computer Algorithms Computer Simulation Humans Movement Rehabilitation
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