Search Results - (( basic location selection algorithm ) OR ( java applications mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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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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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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Vision Based Calibration and Localization Technique for Video Sensor Networks
Published 2009“…The camera network is assumed randomly deployed. One a-priori selected node chooses to act as the core of the network and starts to locate some other two reference nodes. …”
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Optimal selection of location, sizing and power factor for solar PV plants using differential evolution
Published 2023Conference Paper -
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…A user-friendly Graphical User Interface (GUI) is developed using Microsoft Visual Basic software to load and display the algorithm under test and display the result. …”
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11
Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph
Published 2016“…In this case, long-term meteorological data from six selected locations across the six climatic zones of Nigeria (Sokoto, Maiduguri, Jos, Iseyin, Enugu and Port-Harcourt) were first examined to determine the feasibility of utilizing the energy resources (solar and wind) to power a typical rural healthcare facilities at respective remote locations. …”
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Performance enhancement of adaptive cluster formation and routing protocols in wireless networks
Published 2017“…An enhanced algorithm which is used to improve the video quality was proposed, namely, Effective Broadcast Control Routing algorithm (EBCRA). …”
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13
Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021
Published 2022“…In addition, the review paper will facilitate researchers who are new to machine learning algorithms for brain tumor recognition to understand the basics of the field and pave the way for them to be able to contribute to this vital field of medical research. …”
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Article -
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Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi
Published 2018“…An adaptive set point regulation algorithm and the model reference are prepared to work with Proportional Integral Derivative (PID) controller in basic Labview programming platform. …”
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Comparative study of 3D reconstruction methods from 2D sequential images in sports
Published 2020“…Six recent methods were selected based on they focused on recovery fully automated system for estimating 3D human pose for 2D joint location. …”
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Performance of micro gas turbine trigeneration system and photovoltaic hybrid based system in remote area applications
Published 2020“…The system is analyzed based on the performances obtained from an application-based simulation. Whereby, a resort located on Tioman Island is selected as the demand site. …”
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Thesis -
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In our method, we select data that are located in untrained or “not well-learned” region and discard data at trained or “well-learned” region. …”
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