Search Results - (( web application sensor algorithm ) OR ( _ applications learning algorithm ))*
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Web service applications and consumer environments based on ICT-driven optimization
Published 2022“…Therefore, this paper proposes a service recommendation model based on the hybrid embedding of multiple networks and designs a multinetwork hybrid embedding recommendation algorithm. First, the user social relationship network and the user service heterogeneous information network are constructed; then, the embedding vectors of users and services in the same vector space are obtained through multinetwork hybrid embedding learning; finally, the representation vectors of users and services are applied to recommend services to target users. …”
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How Can Unmanned Aerial Vehicles Be Used for Detecting Weeds in Agricultural Fields?
Published 2024Article -
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How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?
Published 2021“…Most of the weed images were captured using red, green, and blue (RGB) camera, i.e., 48.28% and main classification algorithm was machine learning techniques, i.e., 47.90%. …”
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Human health status IoT device using data optimization algorithm / Albin Lemuel Kushan ... [et al.]
Published 2021“…This project aims to produce a device that can be used to identify the current health status of a person using sensor and a data optimization algorithm. Furthermore, this project uses CT-UNO (Arduino Uno) microcontroller as its base together with the LM-35 Body Temperature sensor and the Pulse Sensor for reading heart rate, and a web system to manage the data collected. …”
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Book Section -
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Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device
Published 2024journal::journal article -
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Charge-coupled device based on optical tomography system for monitoring two-phase flow
Published 2024Article -
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Internet of things (IoT) based grid tension monitoring system
Published 2022“…The project method relies on the transfer of data from the sensor module to the microcontroller, where it is recorded and displayed on a website and mobile application that users may access to monitor sensor readings. …”
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Undergraduates Project Papers -
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Partitioning detection and connectivity restoration algorithm for WSAN
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Conference or Workshop Item -
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Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…Data transmission was orchestrated via a Python script, sensor_app.py’ which communicated the data to a dedicated web interface. …”
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar
Published 2021“…Conventional AR-IoT applications only specialize in the localized area for the on-site application and not applicable for a remote monitoring system. …”
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Thesis -
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E4ML: Educational Tool for Machine Learning
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Conference or Workshop Item -
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Development of an aeration system for smart aquaculture farming
Published 2022“…The main components of the smart aeration system were NodeMCU, sensors, power supply, motor and impeller. The system could connect to the Blynk IoT cloud platform to both transmit data from the sensors to be displayed on the web interface or mobile application and receive instructions from the user wirelessly. …”
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Final Year Project / Dissertation / Thesis -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. …”
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Proceeding Paper -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
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Working Paper -
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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Thesis
