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Search results for: cluster
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Year: 2021, Volume: 21, Number: 4
... distances dissatisfy the predefined criteria. In our robust line disth are grouped to one cluster. Then we calculate clustering algorithm, each candidate line is refined by the ... Adan et al. [25] are calculated via boundary detection. Then a clustering presented an integrated system that automatically provides process and redundancy removing are performed to ...
Year: 2021, Volume: 21, Number: 4
... J.Chen, J. Zhao, X. Z. Jia, Z. L. Li, "Multi-step wind speed SWT-ISSA-LSTM 0.7597 0.9608 6.7425 forecast based on sample clustering and an optimized hybrid system," Renewable Energy, 2021, 165: 595-611. Finally, compared with SWT-SSA-LSTM model, the doi:10.1016/j.renene.2020.11.038 ...
Year: 2021, Volume: 21, Number: 3
... . Public Kaggle Dataset detection technique based on the combined approach of particle swarm optimization and Fuzzy C-Means (FCM) The Kaggle dataset contains 35,126 high resolution Clustering algorithm. Rajendra acharya et al. [9] proposed a colored retinal fundus image with resolution of about 3500 technique to identify stages of diabetic retinopathy disease ...
Year: 2021, Volume: 21, Number: 3
... , the data and J48 algorithms were used as the methods and obtained from the cluster, rule extraction from the decision comparative analysis results of these algorithms were tree ... properties of each DNS packet were methods. In the study, first, a clustering method (K-Means) used. Support Vector Machine (SVM), Naive ...
Year: 2021, Volume: 21, Number: 3
... Security analysis of prealigned fingerprint cancelable biometrics," EURASIP J. on Info. Security, vol. 2011, no. template using fuzzy vault scheme," Cluster Comput, vol. 22, no. S5, 1, p. 3, Dec. 2011. doi:10.1186/1687-417X-2011-3 pp. 12817 – ...
Year: 2021, Volume: 21, Number: 3
... color. Each slice has Lat and Lng for each cluster separately. If there are two contained 1, ... Identification Systems by a [6 ], Window-based encounter clustering [3] and KMeans novel clustering model using ... the set of coordinates and K is the number of clusters values. The data has been transferred from the ...
Year: 2021, Volume: 21, Number: 2
... the following steps: can be made via local-global color histograms, partitioning  State transition – prediction, using the adopted motion of color spaces and use of a clustering algorithm, etc. [45]. model; The color histogram is most frequently used for this purpose  A computing of selected image features; due ...
Year: 2021, Volume: 21, Number: 1
... . J. Chanu, "A survey on image segmentation compression techniques: Lossy and lossless," Int. J. Comput. Appl., methods using clustering techniques," Eur. J. Eng. Res. Sci., vol. 2, vol. 142, no. 6, pp. 23 ...
Year: 2021, Volume: 21, Number: 1
... of the applicability of some advanced techniques, means of matrix-factorization with temporal course-wise particularly clustering, bi-clustering, matrix factorization, influence (MFTCI) has been addressed in ... 10] by graph-theoretic, and fuzzy techniques in recommender representing students and courses in a latent knowledge systems. However, the applicability of matrix factorization space. ( ...
Year: 2021, Volume: 21, Number: 1
... , M. Curado, and E. Monteiro, "Cross-layer routing [4] K. A. Yitayih and M. Libsie, "Towards developing enhanced cluster- metrics for mesh networks: Current status and research directions," based QoS-Aware routing in MANET," Journal of Computer Computer Communications, vol. 34 ...
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