AIMC Topic: Models, Theoretical

Clear Filters Showing 1861 to 1870 of 1953 articles

Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines.

The Journal of the Acoustical Society of America Feb 1, 2017
This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted from their acoustic emissions and a Bayesian inference-based one-against-all support vector machine (Bayesian OAASVM) for multi-class classification. The...
Bayes Theorem Acoustics Motion Sound Materials Testing Equipment Failure Analysis Models, Theoretical Support Vector Machine Equipment Failure Time Factors
View on PubMed DOI

Novel switching design for finite-time stabilization: Applications to memristor-based neural networks with time-varying delay.

Chaos (Woodbury, N.Y.) Feb 1, 2017
The aim of this paper is to provide a novel switching control design to solve finite-time stabilization issues of a discontinuous or switching dynamical system. In order to proceed with our analysis, we first design two kinds of switching controllers...
Models, Theoretical Electronics Neural Networks, Computer Time Factors
View on PubMed DOI

Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.

Human factors Feb 1, 2017
OBJECTIVE: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.
Humans Memory, Short-Term Psychomotor Performance Ergonomics Machine Learning Models, Theoretical Electroencephalography
View on PubMed DOI

Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

Inhalation toxicology Jan 1, 2017
BACKGROUND: Galaxolide (HHCB) is used for fragrance in many consumer products. The aim of the current study was to use objective assessments of HHCB to build a predictive model in order to estimate indoor-measured HHCB concentrations from questionnai...
France Humans Perfume Models, Theoretical Data Analysis Benzopyrans Air Pollution, Indoor Forecasting Linear Models Cross-Sectional Studies Surveys and Questionnaires
View on PubMed DOI

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

Studies in health technology and informatics Jan 1, 2017
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state sign...
Magnetic Resonance Spectroscopy Magnetic Resonance Imaging Signal Processing, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Machine Learning Brain Algorithms Models, Theoretical
View on PubMed

Exploring convolutional neural networks for drug-drug interaction extraction.

Database : the journal of biological databases and curation Jan 1, 2017
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...
Neural Networks, Computer Models, Theoretical Support Vector Machine Natural Language Processing Drug Interactions Data Mining Electronic Data Processing
View on PubMed DOI

Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.

Studies in health technology and informatics Jan 1, 2017
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to fully account for interactions between metabolites, rely on a priori selec...
Coronary Artery Disease Aged Male Humans Middle Aged Logistic Models Machine Learning Models, Theoretical Female Metabolomics
View on PubMed

Importance of Matching Physical Friction, Hardness, and Texture in Creating Realistic Haptic Virtual Surfaces.

IEEE transactions on haptics Jan 1, 2017
Interacting with physical objects through a tool elicits tactile and kinesthetic sensations that comprise your haptic impression of the object. These cues, however, are largely missing from interactions with virtual objects, yielding an unrealistic u...
Touch Physical Stimulation Friction Hardness Vibration Male User-Computer Interface Models, Theoretical Robotics Surface Properties Algorithms Computer Simulation Female Humans
View on PubMed DOI

Using a fuzzy comprehensive evaluation method to determine product usability: A proposed theoretical framework.

Work (Reading, Mass.) Jan 1, 2017
BACKGROUND: In order to compare existing usability data to ideal goals or to that for other products, usability practitioners have tried to develop a framework for deriving an integrated metric. However, most current usability methods with this aim r...
Models, Theoretical Fuzzy Logic Evaluation Studies as Topic Humans Decision Support Techniques Surveys and Questionnaires Equipment Design
View on PubMed DOI

Adaptive Neural Network Control for the Trajectory Tracking of the Furuta Pendulum.

IEEE transactions on cybernetics Dec 1, 2016
The purpose of this paper is to introduce a novel adaptive neural network-based control scheme for the Furuta pendulum, which is a two degree-of-freedom underactuated system. Adaptation laws for the input and output weights are also provided. The pro...
Algorithms Computer Simulation Models, Theoretical Neural Networks, Computer Robotics Rotation Mechanical Phenomena
View on PubMed DOI
Popular Topics
Recent Journals