AIMC Topic:
Fuzzy Logic
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Neuro-Fuzzy Networks and Their Applications in Medical Fields.
Advances in experimental medicine and biology
Jan 1, 2020
The fusion of artificial neural networks and fuzzy logic systems allows researchers to model real-world problems through the development of intelligent and adaptive systems. Artificial neural networks are able to adapt and learn by adjusting the inte...
An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler.
Current medical imaging
Jan 1, 2020
BACKGROUND: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of th...
Computational Intelligence Techniques for Assessing Anthropometric Indices Changes in Female Athletes.
Current medical imaging
Jan 1, 2020
BACKGROUND: Physical characteristics including body size and configuration, are considered as one of the key influences on the optimum performance in athletes. Despite several analyzing methods for modeling the slimming estimation in terms of reducti...
Intelligent infusion controller with a physiological information feedback function.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2020
BACKGROUND: In hospitals, some problems still exist, such as transfusion reaction that cannot be dealt with in time, medical staff cannot observe the physiological information of the infusion patients in real time, and the infusion speed cannot be co...
Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.
Journal of cancer research and therapeutics
Jan 1, 2020
CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.
Fuzzy cognitive map based approach for determining the risk of ischemic stroke.
IET systems biology
Dec 1, 2019
Stroke is the third major cause of mortality in the world. The diagnosis of stroke is a very complex issue considering controllable and uncontrollable factors. These factors include age, sex, blood pressure, diabetes, obesity, heart disease, smoking,...
Granular computing-neural network model for prediction of longitudinal dispersion coefficients in rivers.
Water science and technology : a journal of the International Association on Water Pollution Research
Nov 1, 2019
Successful application of one-dimensional advection-dispersion models in rivers depends on the accuracy of the longitudinal dispersion coefficient (LDC). In this regards, this study aims to introduce an appropriate approach to estimate LDC in natural ...
Fuzzy Gaussian Lasso clustering with application to cancer data.
Mathematical biosciences and engineering : MBE
Sep 30, 2019
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...
[Research on the cardiovascular function evaluation system based on noninvasive detection indices].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aug 25, 2019
Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on...
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