Search Results - (( training programmes system 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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Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management
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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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Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection
Published 1998“…Error-back propagation algorithm was used to train the network. The objective was to test the robustness of the network in handling pattern variations as well as the feasibility of implementing it on the production floor in tetms of execution speed. …”
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VHDL modeling of EMG signal classification using artificial neural network
Published 2012“…A back-propagation neural network with Levenberg-Marquardt training algorithm has been used for the classification of EMG signals. …”
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
Published 2007“…The system includes a programmable visual stimulator, EEG amplifier with filter system, data acquisition card, and signal processing and classification algorithms. …”
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An Intelligence Technique For Denial Of Service (Dos) Attack Detection
Published 2017“…Most of the current intrusion detection systems implemented nowadays depend on expert systems where new attacks are not detectable. …”
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The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach
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An intelligence technique for denial of service (DoS) attack detection
Published 2018“…Most of the current intrusion detection systems implemented nowadays depend on expert systems where new attacks are not detectable. …”
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FPGA-enabled binarised convolutional neural networks toward real-time embedded object recognition system
Published 2017“…FPGAs consist of a matrix of reconfigurable logic gates allowing parallel computing which befits most image processing algorithms such as the CNN. We train the binarised CNN on one of our datasets that contain images of several kinds of food and beverages. …”
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The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach
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Framework of Designing Multiple Microcontroller Based Applications
Published 2011“…Keywords: - PIC microcontrollers, HC11 microcontrollers, MCS51 microcontrollers Development system, Electronics engineering education…”
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Preliminary study on fault detection using artificial neural network for water-cooled reactors
Published 2020“…This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. Using actual data from the reactor to train the multilayer network model with backpropagation algorithm. …”
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Framework of Multi-Microcontroller Evaluation Tool for a use of Academic Environment
Published 2012“…This project consists of the hardware and software implementation that supports the development and transfer process of the program code from a personal computer to the microcontroller, which led to the evaluation of educational based training kit systems. The first part of the paper focuses on hardware design, which is based on a modular approach, i.e. recomposed for the design of each application, in order to ensure maximum adaptability. …”
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Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Published 2024“…Future studies could aim to incorporate the trap system into pest monitoring, providing more accurate and cost-effective results in a pest management programme. © 2024 The Author(s). …”
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Primary care provider’s barriers to effective management of apparently resistant hypertension in Malaysian public primary health care and strategies to overcome them: a qualitative...
Published 2026“…Key steps include standardising education and training for patients, caregivers, and PCPs (FMS and MO); standardising referral algorithms; establishing multidisciplinary team-based care; improving access to FDC antihypertensive medications; optimising clinic appointment scheduling and virtual consultations; and strengthening continuity of care.…”
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Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem
Published 2022“…Some heuristic methods may use Neural Network (NN), which need system training before start searching. Meta-heuristic method is able to escape the local optima. …”
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Classification of water quality using artificial neural network
Published 2020“…Therefore, this research aims to use the artificial neural network (ANN) algorithm to classify water quality at Pontian Kechil, Batu Pahat and Muar river. …”
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