Search Results - (( visualization implementation level algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…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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The Development Of System For Algorithms Visualization Using Simjava by Jamil Alsayaydeh, Jamil Abedalrahim, Ahmad Idil, Abdul Rahman, Zainon, Maslan, Aziz, Azwan, Zikri Abadi, Baharudin, Oliinyk, Andrii

“…Algorithm visualization which is a form of high-level dynamic visualization of software that uses user interface techniques to portray and monitor the computational steps of algorithms. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

“…At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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AMOR: an adaptive, multimodal architecture for visual object recognition by James Mountstephens

“…The specific objectives of this research were to design, implement and evaluate the proposed architecture. The architecture design was formalised mathematically and algorithmically in the form of "reclassification", implemented in custom Matlab code and evaluated by comparison to existing visual-only methods for object recognition. …”
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Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview by Ejaz, M.M., Tang, T.B., Lu, C.-K.

“…Finally, we discussed a survey of implemented algorithms of RL in the field of robotics for autonomous visual navigation. …”
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Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview by Ejaz, M.M., Tang, T.B., Lu, C.-K.

“…Finally, we discussed a survey of implemented algorithms of RL in the field of robotics for autonomous visual navigation. …”
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Implementation if PID controller for controlling the liquid level of the coupled tank system by Mohd Izzat, Dzolkafle

“…MATLAB has been used to simulate and verified the mathematical model of the controller. Visual Basic 6 has been used to implement the graphical user interface (GUI) and implementation issues for the controller's algorithms will also be discussed. …”
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Implementation of PID controller for controlling the liquid level of the coupled tank system by Mohd Izzat, Dzolkafle

“…MATLAB has been used to simulate and verified the mathematical model of the controller. Visual Basic 6 has been used to implement the graphical user interface (GUI) and implementation issues for the controller’s algorithms will also be discussed. …”
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An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique by Zamri, Muhamad Najib

“…The purpose of this research is to design, develop and implement an algorithm for enhancing the rendering efficiency of triangle-based LOD technique. …”
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Akhtar, M.N., Ahmed, W., Kakar, M.R., Bakar, E.A., Othman, A.R., Bueno, M.

“…The results showed that the PKIP algorithm decreases the execution time up to 30 to 46 if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. …”
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A new image scrambling technique using block rotation algorithm based on Rubik’s cube by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

“…Also, Most image scrambling algorithms apply one iteration level scrambling that cause a high possibility of occurs the weakness of visual leakage on the image scrambling algorithm which can be reflected by the corresponding scrambled image. …”
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A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface by Ali, Mohammed A. H., Au, Kai Lun

“…A cascading fuzzy logic algorithm with two stages has been implemented to eliminate the effect of the noise in the captured images and thereafter classify the objects into defective and non-defective objects. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…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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Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

“…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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An Approach to Derive Parametric L-System Using Genetic Algorithm by Farooq, H., Zakaria, M.N., Hassan, M.F., Sulaiman, S.

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Camera Independent Face Recognition Algorithm In Visual Surveillance by Yew, Chuu Tian

“…The flandmark facial landmark detector is implemented to determine the location of the eyes and new face images are obtained by cropping the HE pre-processed images. …”
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Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

“…This paper studies the implementation of the Fast Fourier Transform and Artificial Neural Networks into the recognition of fingerprints. …”
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Automated visual defect detection using deep learning by Loh, Xiao

“…Quality control procedures of the industries will be sublimated to another level by the automation of product defect detection.…”
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Analysis of hyperspectral reflectance for disease classification of soybean frogeye leaf spot using Knime analytics by Ang, Yuhao, Mohd Shafri, Helmi Zulhaidi

“…This analysis involved the implementation of machine learning (ML) algorithms, including decision trees, random forests, and stacking, to classify soybean FLS severity levels. …”
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