AIMC Topic: Uncertainty

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Land Suitability Evaluation and an Interval Stochastic Fuzzy Programming-Based Optimization Model for Land-Use Planning and Environmental Policy Analysis.

International journal of environmental research and public health Oct 25, 2019
People explosion and fast economic growth are bringing a more serious land resource shortage crisis. Rational land-use allocation can effectively reduce this burden. Existing land-use allocation models may deal with a lot of challenges of land-use pl...
China Environmental Policy Decision Making Conservation of Natural Resources Uncertainty Models, Theoretical Fuzzy Logic
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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...
Time Machine Learning Uncertainty
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ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.

Scientific reports Oct 4, 2019
Machine learning algorithms hold the promise to effectively automate the analysis of histopathological images that are routinely generated in clinical practice. Any machine learning method used in the clinical diagnostic process has to be extremely a...
Workflow Colon Humans Uncertainty Bayes Theorem Deep Learning Reproducibility of Results Pathology, Clinical Rectum Colorectal Neoplasms Image Processing, Computer-Assisted
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Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2019
This paper solves the event-triggered passivity and synchronization problems for delayed multiple-weighted coupled reaction-diffusion neural networks (DMWCRDNNs) composed of non-identical nodes with and without parameter uncertainties. On one side, b...
Diffusion Neural Networks, Computer Uncertainty Algorithms
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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.

Medical image analysis Sep 7, 2019
Deep learning networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets, particularly on metrics focused on large pathologies. For diseases such as Multiple Sclerosis (MS), however,...
Multiple Sclerosis Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Deep Learning Bayes Theorem Uncertainty
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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics Sep 7, 2019
PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...
Bone and Bones Urinary Bladder Uncertainty Reference Values Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Rectum Prostatic Neoplasms Femur Head Tomography, X-Ray Computed Prostate Male Deep Learning Pelvis Magnetic Resonance Imaging
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Physics-driven learning of x-ray skin dose distribution in interventional procedures.

Medical physics Sep 6, 2019
PURPOSE: Radiation doses accumulated during very complicated image-guided x-ray procedures have the potential to cause stochastic, but also deterministic effects, such as skin rashes or even hair loss. To monitor and reduce radiation-related risks to...
Skin Fluoroscopy Monte Carlo Method Uncertainty Radiation Dosage Neural Networks, Computer Machine Learning
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Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method.

BMC medical informatics and decision making Sep 6, 2019
BACKGROUND: Kidney allocation is a multi-criteria and complex decision-making problem, which should also consider ethical issues in addition to the medical aspects. Leading countries in this field use a point scoring system to allocate kidneys. Hence...
Uncertainty Resource Allocation Fuzzy Logic Decision Making Iran Tissue and Organ Procurement Patient Selection Humans Algorithms Kidney Transplantation
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Barrier Function-Based Adaptive Control for Uncertain Strict-Feedback Systems Within Predefined Neural Network Approximation Sets.

IEEE transactions on neural networks and learning systems Sep 4, 2019
In this article, a globally stable adaptive control strategy for uncertain strict-feedback systems is proposed within predefined neural network (NN) approximation sets, despite the presence of unknown system nonlinearities. In contrast to the convent...
Neural Networks, Computer Nonlinear Dynamics Feedback Uncertainty
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Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs).

Physics in medicine and biology Sep 4, 2019
Online proton range/dose verification based on measurements of proton-induced positron emitters is a promising strategy for quality assurance in proton therapy. Because of the nonlinear correlation between the dose distribution and the activity distr...
Tomography, X-Ray Computed Feasibility Studies Electrons Humans Neural Networks, Computer Proton Therapy Uncertainty Positron-Emission Tomography Phantoms, Imaging
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