AIMC Topic: Uncertainty

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Traceable machine learning real-time quality control based on patient data.

Clinical chemistry and laboratory medicine Jul 19, 2022
OBJECTIVES: Patient-based real-time quality control (PBRTQC) has gained attention as an alternative/integrative tool for internal quality control (iQC). However, it is still doubted for its performance and its application in real clinical settings. W...
Humans Machine Learning Algorithms China Quality Control Uncertainty
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Adaptive-observer-based consensus tracking with fault-tolerant network connectivity of uncertain time-delay nonlinear multiagent systems with actuator and communication faults.

ISA transactions Jul 18, 2022
In this study, a distributed output-feedback design approach for ensuring fault-tolerant initial network connectivity and preselected-time consensus tracking performance is proposed for a class of uncertain time-delay nonlinear multiagent systems (TD...
Neural Networks, Computer Computer Simulation Communication Consensus Uncertainty
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Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.

Medical image analysis Jul 16, 2022
The performance of deep learning for cardiac magnetic resonance imaging (MRI) segmentation is oftentimes degraded when using small datasets and sparse annotations for training or adapting a pre-trained model to previously unseen datasets. Here, we de...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Uncertainty
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Interval Valued Intuitionistic Fuzzy Line Graphs.

BMC research notes Jul 15, 2022
OBJECTIVES: In the field of graph theory, an intuitionistic fuzzy set becomes a useful tool to handle problems related to uncertainty and impreciseness. We introduced the interval-valued intuitionistic fuzzy line graphs (IVIFLG) and explored the resu...
Fuzzy Logic Uncertainty
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An Innovative Decision-Making Approach Based on Correlation Coefficients of Complex Picture Fuzzy Sets and Their Applications in Cluster Analysis.

Computational intelligence and neuroscience Jul 8, 2022
In modern times, the organizational managements greatly depend on decision-making (DM). DM is considered the management's fundamental function that helps the businesses and organizations to accomplish their targets. Several techniques and processes a...
Algorithms Fuzzy Logic Cluster Analysis Uncertainty
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Rainfall prediction using multiple inclusive models and large climate indices.

Environmental science and pollution research international Jul 6, 2022
Rainfall prediction is vital for the management of available water resources. Accordingly, this study used large lagged climate indices to predict rainfall in Iran's Sefidrood basin. A radial basis function neural network (RBFNN) and a multilayer per...
Neural Networks, Computer Algorithms Climate Uncertainty Hydrology
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Observer-Based Fixed-Time Neural Control for a Class of Nonlinear Systems.

IEEE transactions on neural networks and learning systems Jul 6, 2022
This article is concerned with an issue of fixed time adaptive neural control for a class of uncertain nonlinear systems subject to hysteresis input and immeasurable states. The state observer and neural networks (NNs) are used to estimate the immeas...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics Uncertainty
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Handling Imbalanced Data: Uncertainty-Guided Virtual Adversarial Training With Batch Nuclear-Norm Optimization for Semi-Supervised Medical Image Classification.

IEEE journal of biomedical and health informatics Jul 1, 2022
In manyclinical settings, a lot of medical image datasets suffer from imbalance problems, which makes predictions of trained models to be biased toward majority classes. Semi-supervised Learning (SSL) algorithms trained with such imbalanced datasets ...
Humans Algorithms Supervised Machine Learning Entropy Uncertainty
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Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller.

Computational intelligence and neuroscience Jul 1, 2022
The present study aims to design a robust adaptive controller employed in the active tuned mass damper (ATMD) system to overcome undesirable vibrations in multistory buildings under seismic excitations. We propose a novel adaptive type-2 neural-fuzzy...
Neural Networks, Computer Algorithms Computer Simulation Uncertainty
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DC Motor Control Technology Based on Multisensor Information Fusion.

Computational intelligence and neuroscience Jul 1, 2022
To solve these uncertain problems by studying the motor fault diagnosis technology, so as to ensure the normal operation of the motor equipment is the primary problem to be solved in the field of motor fault diagnosis. The traditional DC motor is one...
Neural Networks, Computer Algorithms Technology Signal Processing, Computer-Assisted Uncertainty
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