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Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach / Muhammad Asyraf Janai
Published 2019“…This algorithm is then used to study the complex relationship of device features and efficiencies. …”
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Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach
Published 2018“…This study demonstrates the applicability of machine learning algorithm in extracting underlying complex correlations in blue PhOLEDs.…”
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Simple Screening Method of Maize Disease using Machine Learning
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Results of studying color segmentation using machine-learning algorithm and color space analysis is presented in this thesis. …”
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Implementation of hashed cryptography algorithm based on cryptography message syntax
Published 2019“…The problematic message uses light blue representation in simulation. The sent message uses the red color representation in the simulation. …”
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Color recognition wearable device using machine learning for visually impaired person
Published 2018“…The user can also hear the name of the color along with ‘feeling’ the vibration. Two algorithms were used to distinguish between colors; RGB to HSV color conversion in comparison with neural network and decision tree based machine learning algorithms. …”
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An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…Upon converting PE files to images, the deep learning pixel-matching algorithm identifies obscured malware features. …”
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Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation
Published 2025“…Haze severely degrades image quality by reducing contrast, obscuring details, and introducing a blue-shift color cast caused by atmospheric scattering. …”
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An annotated image dataset of pests on different coloured sticky traps acquired with different imaging devices
Published 2024“…When investigating the automatic identification and counting of pests on sticky traps using computer vision and machine learning, two aspects can strongly influence the performance of the model – the colour of the sticky trap and the device used to capture the images of the pests on the sticky trap. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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UV-vis spectrophotometric and artificial neural network for estimation of ammonia in aqueous environment using cobalt(II) ions
Published 2024“…A set of absorbance data for the [Co(NH3)(6)](2+) complex at selected wavelengths was input for ANN training using a back-propagation algorithm. The trained network with 22 hidden neurons, a 28 500 epoch number and 0.001% learning rate has extended the dynamic NH3 concentration range to 0.6-5.9 mM with a calibration error as low as 0.0649 x 10(-3). …”
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