Search Results - (( developing detection clustering algorithm ) OR ( java application server algorithm ))
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
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Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method
Published 2017“…The performance of the developed system has been compared with the existing intelligent skin detection systems. …”
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Network game (Literati) / Chung Mei Kuen
Published 2003“…Java applet is a well-known and widely used example of mobile code (a variation on the traditional client-server model). …”
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The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data
“…Clustering algorithms can be used to create an outlier detection procedure in univariate circular data. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
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An Evolutionary Stream Clustering Technique for Outlier Detection
Published 2020“…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
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Abnormalities detection in apert syndrome using hierarchical clustering algorithms
Published 2025“…There are 12 skull angles and these angles are analysed using hierarchical clustering algorithms for identifying the outliers or abnormalities. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model
Published 2017“…Two agglomerative hierarchical clustering algorithms for identifying multiple outliers in circular regression model have been developed in this study. …”
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Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Published 2009“…We find 98.7% of accuracy in the classification of 6 different types of Gas by using K-means cluster algorithm and we find almost the same by using the new clustering algorithm.…”
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An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents
Published 2022“…This work focuses on the FS problem by automatically detecting events through a novel wrapper FS method based on Adapted Binary Bat Algorithm (ABBA) and Adapted Markov Clustering Algorithm (AMCL), termed ABBA-AMCL. …”
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…The accuracy of the algorithm developed in detecting tumour is 94.38% showing that it is relevant for use by radiologists. …”
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning
Published 2021“…This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. …”
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi
Published 2015“…Furthermore, the detection rate of the algorithm is improved by utilizing the proposed clustering procedure. …”
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