Search Results - "Improved Fuzzy C-means clustering algorithm"

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm by Alam, Md Shahariar, Rahman, Md Mahbubur, Hossain, Mohammad Amazad, Islam, Md Khairul, Ahmed, Kazi Mowdud, Ahmed, Khandaker Takdir, Singh, Bikash Chandra, Miah, Md Sipon

“…In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that…”
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Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning by Miao, Jiaqing, Zhou, Xiaobing, Huang, Ting-Zhu

“…Image segmentation is an active research topic in image processing. The Fuzzy C-means (FCM) clustering analysis has been widely used in image segmentation. As…”
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Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems by Zhang, Hongkang, Huang, Shao-Lun

“…The fuzzy c-means (FCM) clustering algorithm is adversely affected by its sensitivity to initial values and its low clustering accuracy. To mitigate these…”
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Improved fuzzy C-means clustering algorithm based on t-SNE for terahertz spectral recognition by Yi, Cancan, Tuo, Shuai, Tu, Shan, Zhang, Wentao

“…[Display omitted] •t-distributed Stochastic Neighbor Embedding (t-SNE) can be utilized to dimensionality reduction of Terahertz spectroscopy.•An improved FCM…”
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Research on Daily Load Curve Classification Based on Improved Fuzzy C-means Clustering Algorithm by Li, Mingcong, Hu, Heng, Shi, Haoran, Wang, Xi, Ye, Lan, Zhou, Feng

“…For the problem of severe unpredictability and three-phase unbalance of user demand in low-voltage distribution networks, a daily load curve clustering…”
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Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C‐means clustering algorithm by Attioui, Sanae, Najah, Said

“…Deep learning methods have recently displayed ground‐breaking results for synthetic aperture radar image change detection problem. However, they still face the…”
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An Improved Fuzzy c-Means Clustering Algorithm Based on Shadowed Sets and PSO by Zhang, Jian, Shen, Ling

“…To organize the wide variety of data sets automatically and acquire accurate classification, this paper presents a modified fuzzy c-means algorithm (SP-FCM)…”
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Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation by Forouzanfar, Mohamad, Forghani, Nosratallah, Teshnehlab, Mohammad

“…A traditional approach to segmentation of magnetic resonance (MR) images is the fuzzy c-means (FCM) clustering algorithm. The efficacy of FCM algorithm…”
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Data Processing Method of Mine Wind Speed Monitoring Based on an Improved Fuzzy C-Means Clustering Algorithm by Zhang, Wei, Li, Yucheng, Li, Junqiao

“…Analyzing and processing mine wind speed monitoring data is the key to realizing intelligent ventilation and real-time calculation of the ventilation network…”
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An Improved Fuzzy C-Means Clustering Algorithm Based on Multi-chain Quantum Bee Colony Optimization by Feng, Yufang, Lu, Houqing, Xie, Wenbin, Yin, Hong, Bai, Jingbo

“…The fuzzy c-means (FCM) algorithm is the most popular clustering method. Many studies of FCM had been done. However, the FCM algorithm and its studies are…”
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Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause by Mei, Li, Wang, Kaixiang, Gu, Yongjian

“…The application effect of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on the improved fuzzy C-mean clustering (GA-PFCM) algorithm in…”
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Improved Fuzzy C-means Clustering Algorithm Based on Density-Sensitive Distance by WANG Zhihe, WANG Shuyan, DU Hui

“…The Fuzzy C-means(FCM) clustering algorithm cannot identify non-convex data,and its similarity measure based on Euclidean distance only considers the local…”
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CT Image under Improved Fuzzy C-Means Clustering Algorithm for Evaluation of the Relationship between Cerebrospinal Fluid Change and Communicating Hydrocephalus after Decompressive Craniectomy in Patients with Traumatic Brain Injury by Zhang, Yanmin, Zhang, Chunyue, Wang, Yan

“…This study was aimed to realize the automatic segmentation of communicating hydrocephalus lesions in brain CT after decompressive craniotomy (DC) in patients…”
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A segmentation of pulmonary nodules based on improved fuzzy C-means clustering algorithm by Yang, Tiejun, Cheng, Jinfeng, Zhu, Chunhua

“…According to reports, lung cancer is gradually becoming the first cancer that threatens human life. The early stage of lung cancer is in the form of pulmonary…”
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Power system bad load data detection based on an improved fuzzy C-means clustering algorithm by Zhengrong Wu, Xuzhu Dong, Zhiwen Liu, Xiangyu Kong, Yi Zeng, Qi'an Hu, Ying Chen

“…Massive electricity information are measured, and lots of bad data still exist. The mathematical method of hill-climbing to determine the initial clustering…”
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An improved fuzzy C-means clustering algorithm for assisted therapy of chronic bronchitis by Lu, Weijia, Yan, Zhuangzhi

“…Bronchitis is considered a non-specific inflammation in the peripheral tissues of the trachea and bronchus. Many therapeutic schemes for chronic bronchitis…”
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Segmentation of multicolor fluorescence in situ hybridization images using an improved fuzzy C-means clustering algorithm by incorporating both spatial and spectral information by Li, Jingyao, Lin, Dongdong, Wang, Yu-Ping

“…Multicolor fluorescence hybridization (M-FISH) is a multichannel imaging technique for rapid detection of chromosomal abnormalities. It is a critical and…”
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Industrial solid waste recycling using digital servitisation for decarbonisation to promote Net zero in the circular economy by Gao, Pengqun, Zhou, Yang, Sun, Lipeng, Alahmari, Saad, Innab, Nisreen, Venkatachalam, K., Ferrara, Massimiliano

“…•Research integrates AI, blockchain, and data analytics for efficient stakeholder coordination in recycling.•The project has 3 phases: Returned product…”
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A New Transformer Faults Diagnosis Method based on an Improved Fuzzy C-Means Clustering Algorithm by Abdul-hussian Hassan, Ali, Mohamed Hussein Nasralla, Ali, Hassan Habeb, Abdul-hussien

“…The correct functioning of transformers guarantees the proper operation of the power sector. The accurate diagnosis of the problems associated with the…”
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Planar array capacitive imaging method based on data optimization by Zhang, Yuyan, Zhao, Zhenhao, Yao, Xu, Wen, Yintang, Luo, Xiaoyuan

“…This paper studies the problem of unstable capacitance data collected by the planar array capacitance imaging system, and proposes a method of capacitance data…”
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