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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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The implementation of post-processing data thinning for multibeam echo sounding data
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In this study, vegetation indices, tasseled cap transformation, hybrid classification as a combination of k-means and support vector machine algorithms,and post-classification comparison were respectively implemented to detect and assess LULC in Halabja. …”
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The effects of compiler optimizations in face recognition system
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Improving Channel Assignment for Vehicular Ad-hoc Sensor Network in Disaster Management System
Published 2024“…LTE-A Improved Channel (LTE-AIC) was suggested and implemented with proposed algorithms and methods to compare with conventional LTE-A and LTE as a benchmark. …”
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Detection and analysis of fake reviews on online service portal
Published 2022“…Nowadays, the use of the World Wide Web and online service platforms has been quite popular, especially during the Covid-19 outbreak, which resulted in the implementation of lockdown, social isolation, and other preventive measures across the country. …”
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The largest studentized residual test for bad data identification in state estimation of a power system
Published 2015“…The chi-square and normalized residual tests are the common post estimation procedures usually used for detection and identification of gross errors in the estimation algorithm. …”
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A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf.
Published 2013“…Eventually, the maximum likelihood classifier was implemented during pre and post correction steps to examine the capability of the proposed approach. …”
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Modeling of Functional Electrical Stimulation (FES): Powered Knee Orthosis (PKO) assisted gait exercise in post-stroke rehabilitation / Adi Izhar Che Ani
Published 2023“…The improvement of the model was implemented by incorporating different sliding windows on the model's input parameters. …”
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Determination of CCT due to interconnected link tripping using the OMIB and EAC
Published 2018“…The computation of important numerical development of CCT is deduced from the entails three fault situations, which are; pre-fault, during fault and post-fault situations, with the main focus on pre-fault situation. …”
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Some numerical methods for temperature and mass transfer simulation on the dehydration of herbs
Published 2010“…This study focuses on the implementation of sequential algorithms on the simulation. 3D geometric visualization by COMSOL Multiphysics and graphical numerical results of FDM approximation in mass and heat transfer demonstrate the results of this study. …”
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Numerical methods for solving temperature and mass transfer simulation on dehydration process of tropical fruits
Published 2009“…This study focuses on the implementation of sequential algorithms on the simulation. 3D geometric visualization by COMSOL Multiphysics and graphical numerical results of FDM approximation in mass and heat transfer demonstrates the results of this research. …”
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Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022
Published 2023“…Despite gradual declines in the number of cases for both diseases from 2016 to 2021, there were notable surges observed during the post-COVID-19 pandemic era. Conclusion: Understanding local dynamics is crucial as infectious disease transmission is influenced by various factors, leading to geographical variations in infection risk. …”
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Identifying Features Eligiblity For Blood Donors' Preferences Using Artificial Neural Networks Prediction Performances
Published 2017“…Blood donation is an activity that has required people to contribute blood to help others during need for critical and near with fatal conditions such as organ transplant, post-partum haemorrhage, thalassemia, bowel operation, and orthopaedic surgery. …”
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