Search Results - (( using stream based algorithm ) OR ( java application sensor algorithm ))
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On density-based data streams clustering algorithms: A survey
Published 2017“…Recently, a lot of density-based clustering algorithms are extended for data streams. …”
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MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…However, existing density-based data stream clustering algorithms are not without problem. …”
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A study of density-grid based clustering algorithms on data streams
Published 2011“…In this paper we review the grid based clustering algorithms that use density-based algorithms or density concept for the clustering. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…This study proposes a density-based algorithm for clustering evolving data streams. …”
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Design of Improved Stream Cipher Algorithms for GSM Communication
Published 2024thesis::master thesis -
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Analysis and Modification of Grain - 128 Stream Cipher Algorithm
Published 2024thesis::master thesis -
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Video streaming performance under wellknown packet scheduling algorithms
Published 2011“…This paper evaluates video streaming performance under three well-known algorithms that are more practical to be used in the OFDMA based wireless IP networks due to their reduced complexity. …”
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CC_TRS: continuous clustering of trajectory stream data based on micro cluster life
Published 2017“…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…The AGMB algorithm is built upon three algorithms: 1) Grid-Multi-Buffer Stream Clustering (GMBSC), 2) Cautious Grid-Multi-Buffer Stream Clustering (C-GMBSC) and 3) Adaptive-Grid-Multi-Buffer Stream Clustering (A-GMBSC). …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube
Published 2023“…To fill this gap, an online clustering algorithm for handling evolving data streams using a tempo?…”
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Comparison analysis of stream cipher algorithms for digital communication
Published 2007“…The stream cipher algorithms evaluated are based on the linear feedback shift register (LFSR) with nonlinear combining function. …”
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An Improved Linear Feedback Shift Register (LFSR- based) Stream Cipher Generator
Published 2009“…Linear feedback shift register ( LFSR-based) stream cipher an improved design for a random key generator in a stream cipher algorithm. …”
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A New Proposed Design Of A Stream Cipher Algorithm: Modified Grain-128
Published 2024“…The objective of this research is to propose a new algorithm based on the existing Grain - 128 stream cipher algorithm. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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A study on channel and delay-based scheduling algorithms for live video streaming in the fifth generation long term evolution-advanced
Published 2022“…These algorithms were developed for use in the legacy wireless networks and minor changes were made to enable these algorithms to perform packet scheduling in the downlink 5G LTE-A. …”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…To avoid such overheads many techniques have been used, however in this thesis stream-based data processing model is used in which data is processed in the form of continuous instances of data items. …”
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