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A wavelet based watermarking algorithm for video
Published 2005“…In this paper, a video watermarking algorithm based on wavelets is proposed. In this algorithm, to achieve better imperceptibility and robustness a binary image watermark is inserted into the middle frequency subband coefficients of the blue component of the video frame. …”
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Algorithm in the fluidized-bed reactor for the polymerization of propylene
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Model-Based Design (MBD) for autonomous underwater vehicle
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Image clustering comparison of two color segmentation techniques
Published 2010“…In the software development testing we examine image based clustering, as we can used clustering by distance base, by pixel (red, green, blue) value etc., The problem is solved by region based method which is based on connect component and background detection techniques. …”
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Microcrack Detection And Noise Reduction In Integrated Circuit Packages
Published 2018“…Three algorithms are tested and evaluated in terms of microcrack detection and noise reduction which are probability based thresholding, histogram equalization, and modified Perona-Malik’s anisotropic diffusion methods. …”
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Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.]
Published 2004“…The digital images were separated into three bands namely red, green and blue bands for multispectral algorithm calibration. …”
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Monitoring and determination of CO2 by using optical fibre sensor and artificial neural network / Faiz Bukhari Mohd Suah, Abdul Mutalib Md Jani and Siti Aminah Md Ali
Published 2006“…Changes of ionic strength showed minor effect on the dynamic range of the sensor The sensor also demonstrated good analytical performance with repeatability and reproducibility characters of the sensor yield relative standard deviation (RSD) of 6 ± 0.22 and 6 ± 0 32, respectively Meanwhile the RSD value for this photostability test is pH 7 ± o 19 and it demonstrated no hysteresis when the sensor was cycled from pH 2 00- 12 002 00 (acid- base- acid region) of different pH Performance tests demonstrated a response time of 15 - 150 seconds, depending on the pH and quantity of the immobilized Indicator…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Color recognition wearable device using machine learning for visually impaired person
Published 2018“…In addition, neural network and decision tree algorithms were trained and tested with eight colors (red, green, blue, orange, yellow, purple, white, and black) for the conversion to sound and vibration. …”
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Aplikasi Rangkaian Neural HMLP Untuk Saringan Barah Pangkal Rahim Berdasarkan Imej Thinprep
Published 2006“…The diagnosis is done based on clinical data of image features of ThinPrep test samples. …”
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Analysis of algorithms variation in multilayer perceptron neural network for agarwood oil qualities classification
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Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code
Published 2022“…The encoder algorithm was designed based on dynamic fuzzy logic and it was able to encode up to four data layers to overcome the size limitation. …”
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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. The enhanced harmony search (EHS) algorithm is employed to tune hyperparameters and increase model performance while mitigating overfitting in the EPDL model. …”
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models
Published 2024“…Logistic Regression, Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), and Decision Trees have been developed to detect infected chickens using the chromaticity data. Based on the X and Z chromaticity data from the chromaticity analysis, the color of the infected chicken�s comb converged from red to green and yellow to blue. …”
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models
Published 2023“…Logistic Regression, Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), and Decision Trees have been developed to detect infected chickens using the chromaticity data. Based on the X and Z chromaticity data from the chromaticity analysis, the color of the infected chickens comb converged from red to green and yellow to blue. …”
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Steganography : concealing texts within an image using least significant BIT technique on BMP image format / Farabi Aizat Mohd Aminnuddin
Published 2019“…There were seven scenarios tested regarding the color channel combination and size of text files. …”
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