Search Results - (( development implementation max algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations.
Published 2013“…Awide-spectrum of WiMAX simulators have been developed to provide analysis for advanced WiMAX system development, including the open source tool ns-2, and commercial software such as QualNet and OPNET Modeler. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…In this work, two AP selection algorithms are proposed which are Max Kernel and Kernel Logistic Discriminant that implement the knowledge of kernel density estimate and logistic regression machine learning classification. …”
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Design And Implementation Of Low Passband Ripple Digital Down Converter Filter For Software Defined Radio Transceiver
Published 2011“…The proposed DDC filters incorporate of Remez algorithm and Mini-max algorithm to reduce the error rate in the filter response. …”
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MBIST implementation and evaluation in FPGA based on low-complexity March algorithms
Published 2024“…They were implemented in the Intel Max 10 DE10-Lite FPGA Development Board. …”
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Designing and Developing an Intelligent Congkak
Published 2011“…and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. …”
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Effective downlink resource management for wimax networks
Published 2018“…Therefore, EDRM maximised the data transfer rate and reached effective transmission and utilisation in all the developed functions. Optimistically, the comprehensive resource management for downlink communication in WiMAX such as EDRM can have notable advantages and achieve substantial performance that lead to improved user satisfaction.…”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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Assessment of dynamic spectrum allocation technique in heterogeneous network
Published 2017“…The second research explained more about the implementation of Dynamic Resource Allocation in the uplink and downlink configuration, and are tested using three algorithms; Max-sum, max-min and maxproduct. …”
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Article -
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Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks
Published 2013“…The survey revealed that the currently proposed VHD algorithms either lacked a comprehensive consideration of several network parameters or studies’ reporting these problems lacks sufficient detail for implementation.…”
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Development of colorization of grayscale images using CNN-SVM
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Book Chapter -
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CPLD based controller for single phase inverters
Published 2007“…The involved software, hardware, and suitable algorithm to implement and generate the PWM are developed in details. …”
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Thesis -
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CPLD based controller for single phase inverters
Published 2007“…The involved software, hardware, and suitable algorithm to implement and generate the PWM are developed in details. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Thesis -
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph
