Suchergebnisse - "fuzzy k-means algorithm"

An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images von Vishnuvarthanan, G., Rajasekaran, M. Pallikonda, Subbaraj, P., Vishnuvarthanan, Anitha

“… •Novel SOM based FKM algorithm for tissue segmentation and tumor identification in magnetic resonance brain images (T1-w, T2-w, FLAIR and MPR sequences) is …”
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An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images von Vishnuvarthanan, Anitha, Rajasekaran, M. Pallikonda, Govindaraj, Vishnuvarthanan, Zhang, Yudong, Thiyagarajan, Arunprasath

“… [Display omitted] •A new approach in Computer Aided Diagnosis.•Concurrent tumor detection and tissue segmentation using an automated hybrid algorithm.•The …”
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A fuzzy K-Means algorithm based on Fisher distribution for the identification of rock discontinuity sets von Klen, André Monteiro, Bonduà, Stefano, Kasmaeeyazdi, Sara, Lana, Milene Sabino, Menezes, Danielle Aparecida de, Carvalho, Pedro Gabriel de

“… Rock discontinuities significantly impact the mechanical and hydraulic behavior of rock masses. A crucial aspect of rock engineering involves classifying …”
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Adaptive deep Q-networks for accurate electric vehicle range estimation von Urvashi Khekare, Rajay Vedaraj I. S.

“… It is critical that electric vehicles estimate the remaining driving range after charging, as this has direct implications for drivers' range anxiety and thus …”
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Study of an Adaptive Financial Recommendation Algorithm Using Big Data Analysis and User Interest Pattern with Fuzzy K-Means Algorithm von Yang, Jinyong

“… In an ever-changing financial market, big data is set to revolutionize user interest management by sparking innovation and reshaping recommendations for the …”
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FFKM: A Software for Automatic Discontinuity Set Identification and Stereographic Projection Analysis von André Monteiro Klen, Bonduà, Stefano, Kasmaeeyazdi, Sara, Aparecida De Menezes, Danielle

“… Discontinuities significantly influence the mechanical and hydraulic behavior of rock masses. Identifying and classifying discontinuities into sets with …”
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New set of adapted Gegenbauer–Chebyshev invariant moments for image recognition and classification von Hjouji, Amal, Bouikhalene, Belaid, EL-Mekkaoui, Jaouad, Qjidaa, Hassan

“… Orthogonal moments and their invariants to geometric transformations for gray-scale images are widely used in many pattern recognition and image processing …”
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One-day-ahead hourly forecasting for photovoltaic power generation using an intelligent method with weather-based forecasting models von Huang, Chao-Ming, Chen, Shin-Ju, Yang, Sung-Pei, Kuo, Chung-Jen

“… An intelligent method is proposed in this study to predict one-day-ahead hourly photovoltaic (PV) power generation. The proposed method comprises data …”
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Optimization of regional economic industrial structure based on fuzzy k-means algorithm von Wang, Yin

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Quantification of Epicardial and Thoracic Adipose Tissue using WOA Optimized CNN

“… Cardiac fat depots are associated with the heart diseases. Epicardial fat and thoracic fat plays the major role in the development of cardiovascular disease …”
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Integrating Fuzzy K-Means, Particle Swarm Optimization, and Imperialist Competitive Algorithm for Data Clustering von Emami, Hojjat, Derakhshan, Farnaz

“… In this paper, we proposed two hybrid data clustering algorithms that are called ICAFKM and PSOFKM. ICAFKM combined the advantageous aspects of Fuzzy K-Means …”
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Establishment and application of fuzzy decision rules: an empirical case of the air passenger market in Taiwan von Chiang, Wen-Yu

“… ABSTRACT This paper develops a framework for creating fuzzy decision rules by socio‐economic variables, transactional record variables and customer benefit …”
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Compliant Navigation Mechanisms Utilizing Probabilistic Motion Patterns of Humans in a Camera Network von Liang, Zhiwei, Ma, Xudong, Dai, Xianzhong

“… Motion trajectories provide rich spatio-temporal information about a person's activities. In this paper we first employ an algorithm for learning collections …”
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FKM-Based Clustering Case Retrieval of the High-Rise Building Structural Intelligent Scheme Design von Liu, Shu Jun, Ou, Jin Ping, Zhang, Shi Zhong, Zhang, Shi Hai

“… Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was …”
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A new method for image segmentation von Wang Guitang, Zhu Jianlin, Wei Qingchun, Xin Huasheng, Cao Peiliang

“… On the basis of analyzing the blur images with noise, this paper presents a new segmentation method which is based on the morphology method, fuzzy K-means …”
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Geometric-Based Segmentation of Polarization-Encoded Images von Ainouz, S., Morel, O., Meriaudeau, F.

“… In the framework of Mueller parameters imaging, polarization-encoded images have sixteen channels. The relevancy of such multidimensional structure comes from …”
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A novel intrusion detection method based on clonal selection clustering algorithm von Ji-Qing Xian, Feng-Hua Lang, Xian-Lun Tang

“… This paper presents a novel unsupervised fuzzy clustering method based on clonal selection algorithm for anomaly detection in order to solve the problem of …”
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Optimization for the Deployment and Transmitting Power of AP Based on Green WLAN von Lin Ma, Xiuming Zheng, Yang Lu, Xuezhi Tan

“… Wireless local networks (WLANs) that contain a high-density of access points (APs) are being deployed rapidly all around the world, where large numbers of idle …”
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