AIMC Topic: Uncertainty

Clear Filters Showing 371 to 380 of 706 articles

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.

IEEE transactions on medical imaging Feb 2, 2022
Although deep networks have been shown to perform very well on a variety of medical imaging tasks, inference in the presence of pathology presents several challenges to common models. These challenges impede the integration of deep learning models in...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Uncertainty Brain Neoplasms Deep Learning
View on PubMed DOI

An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.

Environmental science and pollution research international Jan 20, 2022
The formalization and solution of supplier selection problems (SSPs) based on sustainable (economic, environmental, and social) indicators have become a fundamental tool to perform a strategic analysis of the whole supply chain process and maximize t...
Pandemics COVID-19 Humans Sustainable Development Uncertainty Fuzzy Logic Decision Making
View on PubMed DOI

DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks.

Scientific reports Jan 7, 2022
Recent years have seen a steep rise in the number of skin cancer detection applications. While modern advances in deep learning made possible reaching new heights in terms of classification accuracy, no publicly available skin cancer detection softwa...
Uncertainty Image Interpretation, Computer-Assisted Photography Diagnosis, Computer-Assisted Skin Neoplasms Deep Learning Humans Reproducibility of Results Decision Support Techniques Predictive Value of Tests Internet
View on PubMed DOI

Underwater gliders linear trajectory tracking: The experience breeding actor-critic approach.

ISA transactions Dec 28, 2021
This paper studies the underwater glider trajectory tracking in currents field. The objective is to ensure that trajectories fit to the straight target track. The underwater glider model is introduced to demonstrate the vehicle dynamic properties. Co...
Neural Networks, Computer Computer Simulation Reward Uncertainty
View on PubMed DOI

Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation.

Neural networks : the official journal of the International Neural Network Society Dec 21, 2021
This paper investigates the problem of adaptive tracking control for a class of nonlinear multi-input and multi-output (MIMO) state-constrained systems with input delay and saturation. During the process of the control scheme, neural network is emplo...
Nonlinear Dynamics Uncertainty Neural Networks, Computer Physical Phenomena Computer Simulation
View on PubMed DOI

Robust Adaptive Self-Structuring Neural Network Bounded Target Tracking Control of Underactuated Surface Vessels.

Computational intelligence and neuroscience Dec 21, 2021
This paper studies the target-tracking problem of underactuated surface vessels with model uncertainties and external unknown disturbances. A composite robust adaptive self-structuring neural-network-bounded controller is proposed to improve system p...
Nonlinear Dynamics Neural Networks, Computer Uncertainty Computer Simulation
View on PubMed DOI

DSC-based RBF neural network control for nonlinear time-delay systems with time-varying full state constraints.

ISA transactions Dec 20, 2021
The presented control scheme in this paper aims at stabilizing uncertain time-delayed systems requiring all states to change within the preset time-varying constraints. The controller design framework is based on the backstepping method, drastically ...
Nonlinear Dynamics Uncertainty Computer Simulation Feedback Neural Networks, Computer
View on PubMed DOI

A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA).

Journal of environmental management Dec 8, 2021
Bayesian Model Averaging (BMA) is used to study inherent uncertainties using the Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study area related to Lake Urmia. BMA is naturally an Inclusive Multiple Modelling (IMM) s...
Uncertainty Artificial Intelligence Groundwater Environmental Monitoring Bayes Theorem
View on PubMed DOI

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Understanding the ageing process is a very challenging problem for biologists. To help in this task, there has been a growing use of classification methods (from machine learning) to learn models that predict whether a gene influences the process of ...
Drosophila melanogaster Uncertainty Humans Machine Learning Yeasts Mice Aging Computational Biology Genome, Human Algorithms Protein Interaction Maps Animals
View on PubMed DOI

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.

Sensors (Basel, Switzerland) Nov 30, 2021
Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty that communicate how much to ...
Forecasting Deep Learning Reproducibility of Results Air Pollution Bayes Theorem Uncertainty
View on PubMed DOI
Popular Topics
Recent Journals