AIMC Topic: Time

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Event-triggered synchronization of discrete-time neural networks: A switching approach.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2020
This paper investigates the event-triggered synchronization control of discrete-time neural networks. The main highlights are threefold: (1) a new event-triggered mechanism (ETM) is presented, which can be regarded as a switching between the discrete...
Neural Networks, Computer Time
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Improving the Speed of MRI with Artificial Intelligence.

Seminars in musculoskeletal radiology Jan 28, 2020
Magnetic resonance imaging (MRI) is a leading image modality for the assessment of musculoskeletal (MSK) injuries and disorders. A significant drawback, however, is the lengthy data acquisition. This issue has motivated the development of methods to ...
Image Interpretation, Computer-Assisted Musculoskeletal Diseases Time Humans Artificial Intelligence Magnetic Resonance Imaging Musculoskeletal System
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Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.

European journal of radiology Jan 14, 2020
PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential ...
Magnetic Resonance Imaging Liver Area Under Curve ROC Curve Liver Neoplasms Contrast Media Female Gadolinium DTPA Workflow Male Aged Neural Networks, Computer Middle Aged Adult Humans Image Interpretation, Computer-Assisted Algorithms Efficiency Time Retrospective Studies
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Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials.

Therapeutic innovation & regulatory science Jan 6, 2020
BACKGROUND: Delays in clinical trial enrollment and difficulties enrolling representative samples continue to vex sponsors, sites, and patient populations. Here we investigated use of an artificial intelligence-powered technology, Mendel.ai, as a mea...
Patient Selection Clinical Trials as Topic Time Artificial Intelligence Neoplasms Humans
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Global synchronization of coupled delayed memristive reaction-diffusion neural networks.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2019
This paper focuses on the global exponential synchronization of multiple memristive reaction-diffusion neural networks (MRDNNs) with time delay. Due to introducing the influences of space as well as time on state variables and replacing resistors wit...
Neural Networks, Computer Models, Theoretical Time
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Detecting prolonged sitting bouts with the ActiGraph GT3X.

Scandinavian journal of medicine & science in sports Dec 22, 2019
The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture classification to measure sedentary behavior. The aim of the present study was to develop an ActiGraph (waist-worn, 30 Hz) posture classification to ...
Middle Aged Actigraphy Sedentary Behavior Sitting Position Time Female Adult Male Machine Learning Algorithms Humans
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Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Dec 17, 2019
Without decomposing complex-valued systems into real-valued systems, the existence and finite-time stability for discrete fractional-order complex-valued neural networks with time delays are discussed in this paper. First of all, in order to obtain t...
Neural Networks, Computer Time
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Uncertainty-based modulation for lifelong learning.

Neural networks : the official journal of the International Neural Network Society Oct 15, 2019
The creation of machine learning algorithms for intelligent agents capable of continuous, lifelong learning is a critical objective for algorithms being deployed on real-life systems in dynamic environments. Here we present an algorithm inspired by n...
Machine Learning Time Uncertainty
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Deep learning-enabled system for rapid pneumothorax screening on chest CT.

European journal of radiology Sep 26, 2019
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient management. The purpose of our study was to develop and evaluate the accuracy of a deep learning (DL)-based image classification program for detection o...
Adolescent Child, Preschool Child Middle Aged Deep Learning Humans Neural Networks, Computer Support Vector Machine Radiography, Thoracic Time Adult Sensitivity and Specificity Male Pneumothorax Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Young Adult
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Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.

European radiology Sep 4, 2019
OBJECTIVE: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGGNs) with deep learning-assisted nodule segmentation.
Middle Aged Lung Deep Learning Lung Neoplasms Follow-Up Studies Solitary Pulmonary Nodule Female Risk Factors Male Humans Retrospective Studies Regression Analysis Algorithms Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Time
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