AIMC Topic: Fuzzy Logic

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FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Journal of medical systems Sep 2, 2015
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In medical areas, social media allows non-experts to access, interpret, and generate medical information f...
Humans Information Storage and Retrieval Semantics Consumer Health Information Fuzzy Logic Social Media
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An Inversion Scheme for Hybrid Fluorescence Molecular Tomography Using a Fuzzy Inference System.

IEEE transactions on medical imaging Sep 1, 2015
The imaging performance of fluorescence molecular tomography (FMT) improves when information from the underlying anatomy is incorporated into the inversion scheme, in the form of priors. The requirement for incorporation of priors has recently driven...
Tomography, Optical Image Processing, Computer-Assisted Mice Molecular Imaging Fuzzy Logic Animals Phantoms, Imaging Mice, Nude
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Semi-Supervised Fuzzy Clustering with Feature Discrimination.

PloS one Sep 1, 2015
Semi-supervised clustering algorithms are increasingly employed for discovering hidden structure in data with partially labelled patterns. In order to make the clustering approach useful and acceptable to users, the information provided must be simpl...
Cluster Analysis Models, Theoretical Artificial Intelligence Fuzzy Logic Algorithms
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Fuzzy Inference System Approach for Locating Series, Shunt, and Simultaneous Series-Shunt Faults in Double Circuit Transmission Lines.

Computational intelligence and neuroscience Aug 30, 2015
Many schemes are reported for shunt fault location estimation, but fault location estimation of series or open conductor faults has not been dealt with so far. The existing numerical relays only detect the open conductor (series) fault and give the i...
Algorithms Fuzzy Logic Humans Equipment Failure Analysis Chi-Square Distribution Computer Simulation Neural Networks, Computer
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A Complex Network Approach to Stylometry.

PloS one Aug 27, 2015
Statistical methods have been widely employed to study the fundamental properties of language. In recent years, methods from complex and dynamical systems proved useful to create several language models. Despite the large amount of studies devoted to...
Natural Language Processing Models, Theoretical Fuzzy Logic Humans
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A Machine Learning Method for Power Prediction on the Mobile Devices.

Journal of medical systems Aug 26, 2015
Energy profiling and estimation have been popular areas of research in multicore mobile architectures. While short sequences of system calls have been recognized by machine learning as pattern descriptions for anomalous detection, power consumption o...
Humans Neural Networks, Computer Machine Learning Electric Power Supplies Cell Phone Fuzzy Logic Models, Statistical
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Fuzzy Counter Propagation Neural Network Control for a Class of Nonlinear Dynamical Systems.

Computational intelligence and neuroscience Aug 20, 2015
Fuzzy Counter Propagation Neural Network (FCPN) controller design is developed, for a class of nonlinear dynamical systems. In this process, the weight connecting between the instar and outstar, that is, input-hidden and hidden-output layer, respecti...
Fuzzy Logic Nonlinear Dynamics Machine Learning Computer Simulation Neural Networks, Computer
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A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors.

Journal of medical systems Aug 15, 2015
The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an interval Type-2 fuzzy automated tumor detection system. This system consists of three modules: working memory, knowledge base, and inference engine. ...
Fuzzy Logic Expert Systems Image Processing, Computer-Assisted Magnetic Resonance Imaging Astrocytoma Humans Algorithms Brain Neoplasms
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A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

Artificial intelligence in medicine Aug 14, 2015
OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expe...
Vocabulary, Controlled Semantics Biological Ontologies Fuzzy Logic Information Storage and Retrieval Humans Artificial Intelligence Diagnosis, Computer-Assisted Algorithms Diabetes Mellitus
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Applying the Back-Propagation Neural Network model and fuzzy classification to evaluate the trophic status of a reservoir system.

Environmental monitoring and assessment Aug 13, 2015
The trophic state index, and in particular, the Carlson Trophic State Index (CTSI), is critical for evaluating reservoir water quality. Despite its common use in evaluating static water quality, the reliability of the CTSI may decrease when water tur...
Eutrophication Environmental Monitoring Fuzzy Logic Neural Networks, Computer Water Resources Water Quality Conservation of Natural Resources
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