AIMC Topic:
Fuzzy Logic

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Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.

Computational intelligence and neuroscience Jan 26, 2015
In IaaS (infrastructure as a service) cloud environment, users are provisioned with virtual machines (VMs). To allocate resources for users dynamically and effectively, accurate resource demands predicting is essential. For this purpose, this paper p...
Artificial Intelligence Algorithms Fuzzy Logic Cluster Analysis Behavior Humans Neural Networks, Computer
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Watershed based intelligent scissors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 21, 2015
Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedur...
Magnetic Resonance Imaging Tomography, X-Ray Computed Humans Pattern Recognition, Automated Algorithms Reproducibility of Results Fuzzy Logic Image Enhancement Sensitivity and Specificity Image Interpretation, Computer-Assisted
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An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

Computer methods and programs in biomedicine Jan 21, 2015
BACKGROUND: There is a growing demand for women to be classified into different risk groups of developing breast cancer (BC). The focus of the reported work is on the development of an integrated risk prediction model using a two-level fuzzy cognitiv...
Expert Testimony Risk Management Neoplasm Grading Computer Simulation Fuzzy Logic Humans Female Models, Statistical Risk Factors Mammography Breast Neoplasms Risk Assessment Computational Biology Algorithms Decision Support Techniques
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Fuzzy logic for characterizing the moderate intensity of physical activity in children.

Journal of science and medicine in sport Jan 20, 2015
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropriate analytical approach. In this perspective, the 6-MWT was selected as a pertinent exercise modality...
Walking Accelerometry Female Male Child Fuzzy Logic Exercise Test Humans
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Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment Jan 20, 2015
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...
Data Mining Spain Air Pollution Particulate Matter Environmental Monitoring Fuzzy Logic Noise Air Pollutants
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Fuzzy Stochastic Optimal Guaranteed Cost Control of Bio-Economic Singular Markovian Jump Systems.

IEEE transactions on cybernetics Jan 15, 2015
This paper establishes a bio-economic singular Markovian jump model by considering the price of the commodity as a Markov chain. The controller is designed for this system such that its biomass achieves the specified range with the least cost in a fi...
Computer Simulation Fuzzy Logic Models, Biological Markov Chains Models, Economic Stochastic Processes Algorithms
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A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.

Physiological measurement Jan 9, 2015
We present a multiclass fuzzy relevance vector machine (FRVM) learning mechanism and evaluate its performance to classify multiple hand motions using surface electromyographic (sEMG) signals. The relevance vector machine (RVM) is a sparse Bayesian ke...
Young Adult Adult Male Humans Female Fuzzy Logic Sample Size Electromyography Middle Aged Time Factors Support Vector Machine Amputees Surface Properties
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Construction of a fuzzy and Boolean logic gates based on DNA.

Small (Weinheim an der Bergstrasse, Germany) Jan 7, 2015
Logic gates are devices that can perform logical operations by transforming a set of inputs into a predictable single detectable output. The hybridization properties, structure, and function of nucleic acids can be used to make DNA-based logic gates....
Signal Processing, Computer-Assisted Fuzzy Logic DNA Equipment Failure Analysis Equipment Design Computers, Molecular
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Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.

IEEE transactions on cybernetics Jan 1, 2015
In this paper, the motion dynamics of a large tanker is modeled by the generalized ellipsoidal function-based fuzzy neural network (GEBF-FNN). The reference model of tanker motion dynamics in the form of nonlinear difference equations is established ...
Ships Neural Networks, Computer Models, Theoretical Algorithms Fuzzy Logic Computer Simulation Motion
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Application of a two-stage fuzzy neural network to a prostate cancer prognosis system.

Artificial intelligence in medicine Dec 30, 2014
OBJECTIVE: This study intends to develop a two-stage fuzzy neural network (FNN) for prognoses of prostate cancer.
Humans Neural Networks, Computer Male Fuzzy Logic Prostatic Neoplasms Machine Learning Algorithms Prognosis
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