Search Results - (( things application status algorithm ) OR ( java application optimisation algorithm ))
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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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Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
“…Battery life is a key factor in the performance of the Internet of Things (IoT) applications. The size and number of transmitted packets are responsible for most of the energy consumption in IoT applications. …”
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Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
Published 2023“…The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. …”
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Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
Published 2023“…The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. …”
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Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning
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Proceeding Paper
