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Search results for: cluster
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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: 2015, Volume: 15, Number: 4
... The push-pull decision in the chunk- of developing disconnected islands. RTT ranking-based peer wise protocol is made on an individual chunk basis; chunk selection would form a cluster of proximal peers somewhat rarity is measured in terms of the number of a particular isolated from the rest of the network. This network chunk's occurrences in the ...
Year: 2021, Volume: 21, Number: 4
... in simulation and wind turbine system must be transmitted into the grid or experimental work with capacitor voltage balancing in the load by ensuring some conditions such as desired voltage clusters under fixed and variable speed operation. and frequency. For this purpose, a generator is necessary to Contribution of [17] is to present a novel ...
Year: 2023, Volume: 23, Number: 2
... that determines the positive Here αt, is the weight coefficient of ht(x). and negative features of the data containing one density images in two different clusters. Therefore, SVM with HOG V. HISTOGRAM OF GRADIENT features is used in this study to obtain a decision function. This classifier is an algorithm that ...
Year: 2024, Volume: 24, Number: 1
... Cleaner Production, vol. 308, pp. Cosine-Barnacles Algorithm Optimizer with disruption operator for 127215, 2021. doi:10.1016/j.jclepro.2021.127215 global optimization and automatic data clustering," Expert Systems [20] A. Aldosary, M. Rawa, Z. M. Ali, M. latifi, A. Razmjoo, ...
Year: 2024, Volume: 24, Number: 1
... motion estimation Selvakumar, "A study and analysis on block matching algorithms for and de-hazing algorithms and architectures," Digital Signal motion estimation in video coding," Cluster Computing, vol. 22, pp. Processing, pp. 104130, 2023. doi:10.1016/j.dsp.2023.104130 11773-11780, 2019. doi:10.1007/ ...
Year: 2008, Volume: 8, Issue: 2
... Analysis and Partitioning Around Medoids. The differentially expressed between the tumor and normal diana and pam implementations respectively, offered by the samples. The significant differentially expressed pathways cluster R package, were employed for this task. For both in the 45 features dataset are presented in Table 4. methods we carried out the experiments using ...
Year: 2023, Volume: 23, Number: 3
... Mean Co-occurrence Matrix (GLCM) and k-means to discover the Square Error (RMSE), Mean Absolute Error (MAE), highest correlation with surrounding roads by clustering the Relative Absolute Error (RAE), and R-squared (R2). The surrounding roads to be used as a feature in designing a experimental results showed ...
Year: 2023, Volume: 23, Number: 3
... appropriate model for the considering load balancing for SDN: A minimum graph-based ant problem. This study used the UNI1 and UNI2 datasets as the colony optimization," Cluster Computing-The Journal of Networks Software Tools And Applications, vol. 24, no. 3, pp. 2293-2312, training and test datasets. The classifier model ...
Year: 2023, Volume: 23, Number: 2
... , and of machine learning tasks [17-18] such as categorization, DNA. Several algorithms are used to solve quadratic prediction, novelty detection, ranking, and clustering. In programming based on decomposition techniques, such as their general form, Binary SVM extends an optimal linear sequential minimal optimization SMO implemented in the hypothesis, ...
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