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Image Encrytion Using Block Based Transformation Algorithm
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Data Transformation Model For Addressing Incomplete And Inconsistent Quality Issues Of Big Data
Published 2024“…A new algorithm using ontology and clustering methods is used to identify and correct incomplete and inconsistent data, which resolves the availability and comprehensiveness of data, similarity between data items, and missing specific attributes of data. …”
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Security Analysis Between Static And Dynamic S-boxes In Block Ciphers
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. …”
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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Enhancement of cryptography and transform domain in steganography for higher embedding capacity
Published 2012“…In the field of Data Communication, security issues are the top priority.Cryptography and steganography address the necessary elements for secure communication namely privacy, confidentiality,key exchange,authentication,and non-repudiation but reveals the fact that communication is happening.This study proposes a combination of Steganography and Cryptography to enhance security of the transmitted information.Hence this work is composed of two parts:cryptographic and steganographic.In the cryptographic part,an improvement has been proposed to the Hill cipher algorithm to be more secured by using a large and random key with large data block,and also extending it by including the special characters and digits.For the steganographic part,a new method has been proposed by combining Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT),to take the advantageous of both algorithms.The original image is decomposed into four bands using the Haar wavelet LL,HL,LH and HH.Three of these sub-bands have been selected to hiding data (LH,HL and HH)which are less effect to the image than LL sub-band.Then,DCT transform is applied to the selected DWT sub-band,the process of hiding will be in the least significant bit of the DCT coefficients to each sub-band. …”
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The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV)
Published 2017“…The most common PIV cross-correlation algorithm, the standard Fast-Fourier Transform (FFT) is evaluated by measuring the displacement of particles in synthetically generated PIV images. …”
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Final Year Project -
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Enhancement of cryptography and transform domain in steganography for higher embedding capacity
Published 2012“…In the field of Data Communication, security issues are the top priority.Cryptography and steganography address the necessary elements for secure communication namely privacy, confidentiality,key exchange,authentication,and non-repudiation but reveals the fact that communication is happening.This study proposes a combination of Steganography and Cryptography to enhance security of the transmitted information.Hence this work is composed of two parts:cryptographic and steganographic.In the cryptographic part,an improvement has been proposed to the Hill cipher algorithm to be more secured by using a large and random key with large data block,and also extending it by including the special characters and digits.For the steganographic part,a new method has been proposed by combining Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT),to take the advantageous of both algorithms.The original image is decomposed into four bands using the Haar wavelet LL,HL,LH and HH.Three of these sub-bands have been selected to hiding data (LH,HL and HH)which are less effect to the image than LL sub-band.Then,DCT transform is applied to the selected DWT sub-band,the process of hiding will be in the least significant bit of the DCT coefficients to each sub-band. …”
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Undergraduates Project Papers -
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Waste management using machine learning and deep learning algorithms
Published 2020“…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli
Published 2025“…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
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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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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…The hybrid method, IDBA-AFW, aims to enhance the original IDBA by incorporating the Adaptive Floyd-Warshall algorithm for graph transformation and optimization. …”
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A new descriptor for smile classification based on cascade classifier in unconstrained scenarios
Published 2021“…In this paper, an adaptive model for smile classification is suggested that integrates a row-transform-based feature extraction algorithm and a cascade classifier to increase the precision of facial recognition. …”
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Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems
Published 2024“…The nature of the Cubature Kalman filter (CKF) allows the use of small values for parameters P(0), Q, and R. In the MACKO algorithm, Cubature Transformation Techniques (CTT) are employed. …”
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…Data gathering is among the issues constantly acquiring attention in the area of Wireless Sensor Networks (WSNs) due to its impact and ability to transform many areas associated with the human life. …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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