AIMC Topic:
Fuzzy Logic

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Fuzzy logic-based moving average filters for reducing noise from Tc-99m-sestamibi parathyroid images.

Nuclear medicine communications Aug 1, 2021
INTRODUCTION: The objective of the study was to use fuzzy logic-based moving average filters for reducing noise from Tc-99m-sestamibi parathyroid images and to compare its performance with classical moving average filters.
Humans Image Processing, Computer-Assisted Parathyroid Glands Technetium Tc 99m Sestamibi Fuzzy Logic Signal-To-Noise Ratio
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Investigation on stability and controller design for singular bio-economic systems with stochastic fluctuations.

Mathematical biosciences and engineering : MBE Mar 29, 2021
In this paper, the finite-time stability and control of a kind of singular bio-economic systems with stochastic fluctuations are investigated. When economic profit is no longer a constant but a variable, the system shows distinct dynamic behavior. Fi...
Feedback Fuzzy Logic Algorithms Computer Simulation Models, Statistical
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Hybrid modelling of biological systems using fuzzy continuous Petri nets.

Briefings in bioinformatics Jan 18, 2021
Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts' experience and knowledge. Fuzzy continuous Petri nets ...
Humans Computational Biology Fuzzy Logic Metabolic Networks and Pathways Mercaptopurine
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Review of wheeled mobile robot collision avoidance under unknown environment.

Science progress Jan 1, 2021
Recently, the working scenes of the robot have been emerging as diversity and complexity with gradually mature of robotic control technology. The challenge of robot adaptability emerges, especially in complicated and unknown environments. Among the n...
Robotics Motion Neural Networks, Computer Research Design Fuzzy Logic
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Fuzzy logic and Gagné learning hierarchy for assessing mathematics skills.

Science progress Jan 1, 2021
This study developed a fuzzy logic and Gagné learning hierarchy (FL-GLH) for assessing mathematics skills and identifying learning barrier points. Fuzzy logic was used to model the human reasoning process in linguistic terms. Specifically, fuzzy logi...
Mathematics Humans Fuzzy Logic
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Research on trajectory tracking control of 7-DOF picking manipulator.

Science progress Jan 1, 2021
In order to solve the problem of poor robustness of the traditional method of calculating torque in the mechanical model of 7-DOF picking manipulator, this paper proposes a control strategy of calculating torque plus fuzzy compensation by using adapt...
Robotics Computer Simulation Motion Algorithms Fuzzy Logic
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A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Many technologies, methods, and tools have been developed for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used...
Multifactor Dimensionality Reduction Models, Genetic Multifactorial Inheritance Databases, Genetic Uncertainty Humans Algorithms Polymorphism, Single Nucleotide Software Datasets as Topic Fuzzy Logic Epistasis, Genetic Coronary Artery Disease
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Fuzzy support vector machine with joint optimization of genetic algorithm and fuzzy c-means.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Motor imagery electroencephalogram (MI-EEG) play an important role in the field of neurorehabilitation, and a fuzzy support vector machine (FSVM) is one of the most used classifiers. Specifically, a fuzzy c-means (FCM) algorithm was used ...
Fuzzy Logic Electroencephalography Humans Entropy Algorithms Support Vector Machine
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Recent Advancements in Fuzzy C-means Based Techniques for Brain MRI Segmentation.

Current medical imaging Jan 1, 2021
BACKGROUND: Variations of image segmentation techniques, particularly those used for Brain MRI segmentation, vary in complexity from basic standard Fuzzy C-means (FCM) to more complex and enhanced FCM techniques.
Magnetic Resonance Imaging Fuzzy Logic Brain Image Processing, Computer-Assisted Algorithms Humans
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Brain Tumor Segmentation of T1w MRI Images Based on Clustering Using Dimensionality Reduction Random Projection Technique.

Current medical imaging Jan 1, 2021
BACKGROUND: Early diagnosis of a brain tumor may increase life expectancy. Magnetic resonance imaging (MRI) accompanied by several segmentation algorithms is preferred as a reliable method for assessment. The availability of high-dimensional medical ...
Fuzzy Logic Cluster Analysis Brain Neoplasms Magnetic Resonance Imaging Humans Algorithms
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