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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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Diagnosis security problems in cloud computing for business cloud
Published 2023“…Secondly , they prefer to develop the multi-key cipher algorithm in order to manage the encryption based on the level of security. � 2005 - 2016 JATIT & LLS. …”
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Mapping of oil palm land cover using integration of cloud computing, machine learning and big data
Published 2019“…However, the expansion of oil palm plantation has been recognised as a threat to the wildlife species and had caused massive amount of deforestations. A tropical country with humid weather, Malaysia has been listed as one of the top three countries with the highest rate of deforestation in the world. …”
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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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5
Establishment of perez du-mortier calibration algorithm as a sunphotometers calibration protocol at a altitude above sea level
Published 2017“…However, it is impenetrable to find cloud free condition at near sea level altitude especially tropical country due to cloud loading and rainfall throughout the year. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…In FFB and PO models, the data used 15 variables, namely: percentage of mature area and percentage of immature area, rainfall, rainy days, humidity, radiation, temperature, surface wind speed, evaporation and cloud cover, O3, CO, NO2, SO2, and PM10. The study used input energy data from 8 variables for developing energy models. …”
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