AIMC Topic: Fuzzy Logic
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A Novel Approach of Mathematical Theory of Shape and Neuro-Fuzzy Based Diagnostic Analysis of Cervical Cancer.
Pathology oncology research : POR
Feb 6, 2019
This study aims to detect the abnormal growth of tissue in cervix region for diagnosis of cervical cancer using Pap test of patients. The proposed methodology classifies cervical cancer for pattern recognition either benign or malignant stages using ...
A Brain-Robot Interaction System by Fusing Human and Machine Intelligence.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 4, 2019
This paper presents a new brain-robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and steady-state visual evoked potential (SSVEP) mode conveying a hu...
A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA.
BMC medical genomics
Jan 31, 2019
BACKGROUND: Lots of researches have been conducted in the selection of gene signatures that could distinguish the cancer patients from the normal. However, it is still an open question on how to extract the robust gene features.
Motion Planning of Autonomous Mobile Robot Using Recurrent Fuzzy Neural Network Trained by Extended Kalman Filter.
Computational intelligence and neuroscience
Jan 29, 2019
This paper proposes a novel motion planning method for an autonomous ground mobile robot to address dynamic surroundings, nonlinear program, and robust optimization problems. A planner based on the recurrent fuzzy neural network (RFNN) is designed to...
Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China.
International journal of environmental research and public health
Jan 23, 2019
Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is to determine the quality and suitability of groundwater for drinking purposes within the vicinity of a shallow, unconsolidated aquifer of Quaternary ag...
Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.
Food chemistry
Jan 19, 2019
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. o...
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
International journal of medical informatics
Jan 18, 2019
OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every year. Early detection of melanoma is possible through visual inspection of pigmented lesions over the skin, treated with simple excision of the cance...
Facility Layout Planning with SHELL and Fuzzy AHP Method Based on Human Reliability for Operating Theatre.
Journal of healthcare engineering
Jan 14, 2019
A well-design facility layout planning refers to the reduction of the operation cost in the manufacturing and service industry. This work consists of reliability analysis of facility layout for an operating theatre; it aims at proposing a new evaluat...
A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.
Journal of medical systems
Jan 10, 2019
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making ...
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
IEEE journal of biomedical and health informatics
Jan 9, 2019
Accurate and automatic organ segmentation is critical for computer-aided analysis towards clinical decision support and treatment planning. State-of-the-art approaches have achieved remarkable segmentation accuracy on large organs, such as the liver ...
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