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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Ajith Abraham,Paramartha Dutta,Soumi Dutta Conference p

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樓主: 游牧
21#
發(fā)表于 2025-3-25 05:32:31 | 只看該作者
Horticultural Approach for Detection, Categorization and Enumeration of On Plant Oval Shaped FruitsThresholding of RGB color space has been used in the process of singulation and thresholding of YCbCr color space has been used in the process of categorization. In the process of enumeration, edge detection and dilation operations have been used. Results obtained were satisfactory basing upon various performance metrics.
22#
發(fā)表于 2025-3-25 09:47:49 | 只看該作者
EEG Signal Analysis Using Different Clustering Techniquestivity of brain is checked with the help of electrodes attached to the scalp and recorded in computer. With increasing database performance of K-Means, and FCM is not efficient. In this paper we propose spatial clustering algorithm for EEG signals to improve the efficiency.
23#
發(fā)表于 2025-3-25 13:23:37 | 只看該作者
A Graph Based Approach on Extractive Summarizationes to create a representative summary or abstract of the entire document, by finding the most informative sentences by means of infomap clustering after a graphical representation of the entire document.
24#
發(fā)表于 2025-3-25 16:22:31 | 只看該作者
25#
發(fā)表于 2025-3-25 21:30:29 | 只看該作者
26#
發(fā)表于 2025-3-26 03:12:20 | 只看該作者
27#
發(fā)表于 2025-3-26 07:19:28 | 只看該作者
28#
發(fā)表于 2025-3-26 10:12:56 | 只看該作者
A Computational Approach for Project Work Performance Analysis Based on Online Collaborative Dataues. In this paper, we aim to present a framework which exploits this data to transform it into understandable format and use it for students’ performance analysis and assessment. The result of k-means algorithm of clustering identifies the different levels of project groups as well as individual group members.
29#
發(fā)表于 2025-3-26 13:00:12 | 只看該作者
30#
發(fā)表于 2025-3-26 18:13:38 | 只看該作者
2194-5357 ractitioners.Inspires young scholars to discover newly creat.The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25
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