AIMC Topic: Uncertainty

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The rise of artificial intelligence and the uncertain future for physicians.

European journal of internal medicine Jun 23, 2017
Physicians in everyday clinical practice are under pressure to innovate faster than ever because of the rapid, exponential growth in healthcare data. "Big data" refers to extremely large data sets that cannot be analyzed or interpreted using traditio...
Uncertainty Humans Physicians Precision Medicine Artificial Intelligence
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History matching through dynamic decision-making.

PloS one Jun 5, 2017
History matching is the process of modifying the uncertain attributes of a reservoir model to reproduce the real reservoir performance. It is a classical reservoir engineering problem and plays an important role in reservoir management since the resu...
Unsupervised Machine Learning Benchmarking Brazil Uncertainty Decision Making Humans Decision Support Techniques
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Indirect adaptive fuzzy wavelet neural network with self- recurrent consequent part for AC servo system.

ISA transactions Jun 2, 2017
This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent w...
Artificial Intelligence Algorithms Computer Simulation Neural Networks, Computer Nonlinear Dynamics Wavelet Analysis Uncertainty Fuzzy Logic Equipment Design
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A fuzzy logic-based tool to assess beef cattle ranching sustainability in complex environmental systems.

Journal of environmental management May 13, 2017
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. ...
Humans Software Animals Uncertainty Red Meat Environment Cattle Fuzzy Logic
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Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2017
This paper addresses the problem of robust stability for quaternion-valued neural networks (QVNNs) with leakage delay, discrete delay and parameter uncertainties. Based on Homeomorphic mapping theorem and Lyapunov theorem, via modulus inequality tech...
Neural Networks, Computer Computer Simulation Time Factors Uncertainty
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A two-stage fuzzy chance-constrained water management model.

Environmental science and pollution research international Mar 30, 2017
In this study, an inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method is developed and applied to the water resources management in the Heshui River Basin, Jiangxi Province, China. The optimization model is established by ...
Water China Models, Theoretical Stochastic Processes Uncertainty Fuzzy Logic
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Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions.

Neural networks : the official journal of the International Neural Network Society Mar 23, 2017
This paper is concerned with the fixed-time synchronization for a class of complex-valued neural networks in the presence of discontinuous activation functions and parameter uncertainties. Fixed-time synchronization not only claims that the considere...
Neural Networks, Computer Uncertainty Algorithms Cortical Synchronization Feedback Time Factors
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Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.

International journal of environmental research and public health Mar 2, 2017
The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies ...
Least-Squares Analysis Uncertainty China Models, Theoretical Air Pollutants Air Pollution Support Vector Machine Research Computer Simulation Algorithms Forecasting
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H state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2017
In this paper, the H state estimation problem is investigated for a class of uncertain discrete-time neural networks subject to infinitely distributed delays and fading channels. Randomly occurring uncertainties (ROUs) are introduced to reflect the r...
Models, Theoretical Random Allocation Computer Simulation Neural Networks, Computer Time Factors Uncertainty Algorithms
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Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 7, 2017
Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health problem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromal stage of AD. The ability to identify subjects wit...
Fluorodeoxyglucose F18 Uncertainty Female Prodromal Symptoms Humans Aged Alzheimer Disease Male Positron-Emission Tomography Cognitive Dysfunction Support Vector Machine
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