AIMC Topic: Uncertainty

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A multi-attribute decision-making-based site selection assessment algorithm for garbage disposal plant using interval q-rung orthopair fuzzy power Muirhead mean operator.

Environmental research Nov 7, 2020
With the increase of the global population and the improvement of people's living standards, the output of garbage generated by human activities is also increasing day by day. Choosing an appropriate garbage disposal site is one of the key links for ...
Humans Decision Making Algorithms Refuse Disposal Uncertainty Fuzzy Logic
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Convolutional neural network based proton stopping-power-ratio estimation with dual-energy CT: a feasibility study.

Physics in medicine and biology Nov 3, 2020
Dual-energy computed tomography (DECT) has shown a great potential for lowering range uncertainties, which is necessary for truly leveraging the Bragg peak in proton therapy. However, analytical stopping-power-ratio (SPR) estimation methods have limi...
Feasibility Studies Calibration Image Processing, Computer-Assisted Prostatic Neoplasms Proton Therapy Uncertainty Protons Humans Signal-To-Noise Ratio Phantoms, Imaging Tomography, X-Ray Computed Male Neural Networks, Computer
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Super-Resolved q-Space deep learning with uncertainty quantification.

Medical image analysis Oct 26, 2020
Diffusion magnetic resonance imaging (dMRI) provides a noninvasive method for measuring brain tissue microstructure. q-Space deep learning(q-DL) methods have been developed to accurately estimate tissue microstructure from dMRI scans acquired with a ...
Algorithms Deep Learning Humans Diffusion Magnetic Resonance Imaging Neuroimaging Uncertainty
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Fast spot-scanning proton dose calculation method with uncertainty quantification using a three-dimensional convolutional neural network.

Physics in medicine and biology Oct 26, 2020
This study proposes a near-real-time spot-scanning proton dose calculation method with probabilistic uncertainty estimation using a three-dimensional convolutional neural network (3D-CNN). CT images and clinical target volume contours of 215 head and...
Humans Neural Networks, Computer Proton Therapy Uncertainty Tomography, X-Ray Computed Head and Neck Neoplasms
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Population health AI researchers' perceptions of the public portrayal of AI: A pilot study.

Public understanding of science (Bristol, England) Oct 21, 2020
This article reports how 18 UK and Canadian population health artificial intelligence researchers in Higher Education Institutions perceive the use of artificial intelligence systems in their research, and how this compares with their perceptions abo...
Uncertainty Canada Artificial Intelligence Population Health Pilot Projects
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Optimization of Ecological Water Supplement Scheme for Improved Suitable Habitat Area for Rare Migratory Birds in Nature Reserves Using Interval-Parameter Fuzzy Two-Stage Stochastic Programming Model.

International journal of environmental research and public health Oct 17, 2020
The optimization of ecological water supplement scheme in Momoge National Nature Reserve (MNNR), using an interval-parameter two-stage stochastic programming model (IPTSP), still experiences problems with fuzzy uncertainties and the wide scope of the...
Ecosystem Birds Models, Theoretical Fuzzy Logic Water Animals Uncertainty
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Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.

NeuroImage Oct 9, 2020
Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-resolution or image synthesis. However, to date, most existing approaches are based on deterministic models, neglecting the presence of different source...
Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging Uncertainty Neuroimaging Image Enhancement Humans Deep Learning Image Processing, Computer-Assisted Brain
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Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints.

ISA transactions Oct 8, 2020
This paper proposes a neural network-based model predictive control (MPC) method for robotic manipulators with model uncertainty and input constraints. In the presented NN-based MPC structure, two groups of radial basis function neural networks (RBFN...
Models, Theoretical Uncertainty Algorithms Predictive Value of Tests Robotics Computer Simulation Neural Networks, Computer Robotic Surgical Procedures Machine Learning
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Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty.

Medical image analysis Oct 7, 2020
The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the similarity between a segmentation and a predefined ground truth is measure...
Uncertainty Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions.

Environmental science and pollution research international Oct 3, 2020
Accurate prediction of the dust concentration (DC) is necessary to reduce its undesirable environmental effects in different geographical areas. Although the adaptive neuro-fuzzy inference system (ANFIS) is a powerful model for predicting dust events...
Iran Uncertainty Algorithms Dust Fuzzy Logic
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