Suchergebnisse - "fuzzy clustering algorithm"

A survey of fuzzy clustering validity evaluation methods von Wang, Hong-Yu, Wang, Jie-Sheng, Wang, Guan

“… As an unsupervised learning method, clustering does not need to know prior knowledge of the datasets in advance. How determining the optimal number of clusters …”
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A Fuzzy Clustering Algorithm-Based Dynamic Equivalent Modeling Method for Wind Farm With DFIG von Zou, Jianxiao, Peng, Chao, Xu, Hongbing, Yan, Yan

“… With the increasing capacity of grid connected wind farms, the influence of wind power to stable operation of an electric power system is becoming more and …”
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A Combined Approach to Precipitation Forecasting: Enhancing FB–Prophet With Fuzzy Clustering to Capture Sudden Changes and Seasonal Patterns in Climate Data von El Motaki, Saloua, El‐Fengour, Abdelhak, El Motaki, Hanifa

“… Accurate precipitation prediction is vital for effective water resource management, agricultural planning, and natural disaster mitigation. Traditional …”
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A novel heat load prediction algorithm based on fuzzy C-mean clustering and mixed positional encoding informer von Song, Jiancai, Wang, Kangning, Bian, Tianxiang, Li, Wen, Dong, Qianxing, Chen, Lei, Xue, Guixiang, Wu, Xiangdong

“… With the rapid urbanization in China, sustainable energy development and environmental challenges arising from the massive amount of energy consumed by …”
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Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation von Mahata, Nabanita, Kahali, Sayan, Adhikari, Sudip Kumar, Sing, Jamuna Kanta

“… •A Fuzzy clustering algorithm using local contextual information and Gaussian function is devised for bias field and brain MR image segmentation.•The algorithm …”
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Sorting and grouping optimization method for second-use batteries considering aging mechanism von Jiang, Tao, Sun, Jinlei, Wang, Tianru, Tang, Yong, Chen, Saihan, Qiu, Shengshi, Liu, Xinwei, Lu, Siqi, Wu, Xiaogang

“… •The multi-factor sorting method considering capacity, internal resistance and aging mechanism is presented.•The effectiveness of a fuzzy clustering algorithm …”
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PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors von Ma, Ning, Wu, Kaijun, Yuan, Yubin, Li, Jiawei, Wu, Xiaoqiang

“… Fuzzy clustering algorithms are widely applied in the field of traffic driving, aiding in the classification of driving behaviors from massive traffic data and …”
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Design of Music Melody Contour Extraction Algorithm Based on Fuzzy Clustering Algorithm von Yao, Sanjun

“… Now is the era of big data, and a large amount of data will be generated in any industry. How to mine useful information from this huge amount of data is a …”
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Using machine learning to trace the pollution sources of disinfection by-products precursors compared to receptor models von Xiao, Yuan, Ma, Shunjun, Yang, Shumin, He, Huan, He, Xin, Li, Cheng, Feng, Yuheng, Xu, Bin, Tang, Yulin

“… To increase the efficiency of managing backup water resources, it is critical to identify and allocate pollution sources. Source apportionment of dissolved …”
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Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image von Xu, Ganbin, Lin, Jianwei

“… The rapid development of Virtual Reality (VR) technology has heightened interest in immersive video applications. Current dynamic video segmentation methods …”
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A modified Sage-Husa adaptive Kalman filter for state estimation of electric vehicle servo control system von Wang, Xingyu, Wang, Anna, Wang, Dazhi, Xiong, Yingjie, Liang, Bingxue, Qi, Yufei

“… Kalman filter algorithm is widely used in state estimation of electric vehicles (EV) servo system as dynamic estimation of power system. In order to improve …”
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Modeling and Correction of Label Noise Uncertainty for SAR ATR von Yue YU, Chen WANG, Jun SHI, Chongben TAO, Liang LI, Xinxin TANG, Liming ZHOU, Shunjun WEI, Xiaoling ZHANG

“… The success of deep supervised learning in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) relies on a large number of labeled samples …”
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SAR ATR中标签噪声不确定性建模与纠正 von 于跃, 王琛, 师君, 陶重犇, 李良, 唐欣欣, 周黎明, 韦顺军, 张晓玲

“… TN957.52; 深度监督学习在合成孔径雷达自动目标识别任务中的成功依赖于大量标签样本.但是,在大规模数据集中经常存在错误(噪声)标签,很大程度降低网络训练效果.该文提出一 …”
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Review of medical image recognition technologies to detect melanomas using neural networks von Efimenko, Mila, Ignatev, Alexander, Koshechkin, Konstantin

“… Background Melanoma is one of the most aggressive types of cancer that has become a world-class problem. According to the World Health Organization estimates, …”
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An investigation on data mining and operating optimization for wet flue gas desulfurization systems von Qiao, Zongliang, Wang, Xingchao, Gu, Hui, Tang, Youfei, Si, Fengqi, Romero, Carlos E., Yao, XueZhong

“… •The optimal target database of operating conditions for WFGD was investigated.•An improved fuzzy clustering (IFC) algorithm was proposed for data …”
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A personalized recommendation system for teaching resources in sports using fuzzy C-means clustering technique von Chen, Jiayong, Zhou, Guangzhen, Zhong, Yize

“… Due to the fast-growing Internet speed, processing power, and the use of sophisticated algorithms, information is generated at a very fast speed. This …”
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An intrusion detection method for internet of things based on suppressed fuzzy clustering von Liu, Liqun, Xu, Bing, Zhang, Xiaoping, Wu, Xianjun

“… In order to improve the effectiveness of intrusion detection, an intrusion detection method of the Internet of Things (IoT) is proposed by suppressed fuzzy …”
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Research on Mining and Analyzing Tourists’ Consumption Habits in Tourism Management von Ma, Lijuan

“… The rapid development of the tourism industry has led to a continuous change in the way of tourism consumption. This paper takes the information of tourists’ …”
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Outlier Based Skimpy Regularization Fuzzy Clustering Algorithm for Diabetic Retinopathy Image Segmentation von Hemamalini, Selvamani, Kumar, Visvam Devadoss Ambeth

“… Blood vessels are harmed in diabetic retinopathy (DR), a condition that impairs vision. Using modern healthcare research and technology, artificial …”
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Diagnosis of neonatal hyperbilirubinemia using CNN model along with color card techniques von Bharani Nayagi, S., Shiny Angel, T.S.

“… •The Random forest classifier is essential for imbalanced data.•During performance metric evaluation, F-measure is implemented to handle imbalanced normal and …”
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