AIMC Topic: Uncertainty

Clear Filters Showing 381 to 390 of 706 articles

Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.

Sensors (Basel, Switzerland) Nov 9, 2021
A bilateral neural network adaptive controller is designed for a class of teleoperation systems with constant time delay, external disturbance and internal friction. The stability of the teleoperation force feedback system with constant communication...
Neural Networks, Computer Feedback Mechanical Phenomena Uncertainty Nonlinear Dynamics
View on PubMed DOI

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.

Scientific reports Nov 1, 2021
In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), cal...
Prevalence Nigeria Forecasting SARS-CoV-2 Data Accuracy Uncertainty Models, Statistical South Africa Pandemics Humans COVID-19 Neural Networks, Computer
View on PubMed DOI

Analysis of Communication and Network Securities Using the Concepts of Complex Picture Fuzzy Relations.

Computational intelligence and neuroscience Oct 31, 2021
In our lives, we cannot avoid the uncertainty. Randomness, rough knowledge, and vagueness lead us to uncertainty. In mathematics, the fuzzy set (FS) theory and logics are used to model uncertain events. This article defines a new concept of complex p...
Fuzzy Logic Communication Uncertainty
View on PubMed DOI

Imputation of sensory properties using deep learning.

Journal of computer-aided molecular design Oct 30, 2021
Predicting the sensory properties of compounds is challenging due to the subjective nature of the experimental measurements. This testing relies on a panel of human participants and is therefore also expensive and time-consuming. We describe the appl...
Humans Algorithms Sensory Receptor Cells Quantitative Structure-Activity Relationship Uncertainty Deep Learning
View on PubMed DOI

-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming.

Computational intelligence and neuroscience Oct 30, 2021
The main purpose of this manuscript is to present a novel idea on the -rung orthopair fuzzy rough set (-ROFRS) by the hybridized notion of -ROFRSs and rough sets (RSs) and discuss its basic operations. Furthermore, by utilizing the developed concept,...
Uncertainty Algorithms Fuzzy Logic Decision Making Robotic Surgical Procedures
View on PubMed DOI

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2021
Variational autoencoders (VAEs) are influential generative models with rich representation capabilities from the deep neural network architecture and Bayesian method. However, VAE models have a weakness that assign a higher likelihood to out-of-distr...
Bayes Theorem Uncertainty Neural Networks, Computer
View on PubMed DOI

Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Machine learning (ML) methods are popular in several application areas of multimedia signal processing. However, most existing solutions in the said area, including the popular least squares, rely on penalizing predictions that deviate from the targe...
Image Processing, Computer-Assisted Least-Squares Analysis Machine Learning Uncertainty Multimedia Humans Neural Networks, Computer
View on PubMed DOI

(3, 2)-Fuzzy Sets and Their Applications to Topology and Optimal Choices.

Computational intelligence and neuroscience Oct 27, 2021
The purpose of this paper is to define the concept of (3, 2)-fuzzy sets and discuss their relationship with other kinds of fuzzy sets. We describe some of the basic set operations on (3, 2)-fuzzy sets. (3, 2)-Fuzzy sets can deal with more uncertain s...
Humans Fuzzy Logic Uncertainty
View on PubMed DOI

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.

PLoS computational biology Oct 25, 2021
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventio...
Germany Uncertainty Bayes Theorem Models, Biological COVID-19 Humans Neural Networks, Computer Pandemics
View on PubMed DOI

Epistemic uncertainty quantification in deep learning classification by the Delta method.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters P. We propose a low cost approximation of the Del...
Probability Uncertainty Deep Learning Models, Statistical Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals