Search Results - (( _ evaluation from algorithm ) OR ( between transformational issues algorithm ))

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

“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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Data Transformation Model For Addressing Incomplete And Inconsistent Quality Issues Of Big Data by Onyeabor, Grace Amina

“…The study was evaluated using the developed model and benchmarked with existing data transformation techniques in the literature. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…The proposed algorithm is designed in order to tackle many limitations of the existing algorithms such as handle inevitable occlusions, model different motions from multiple moving objects, and consider the spatial information.…”
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Mobile data gathering algorithms for wireless sensor networks by Ghaleb, Mukhtar Mahmoud Yahya

“…The performance evaluation of the proposed data gathering algorithms has been done through a detailed and extensive discrete-event-simulation analysis. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

“…As a comparative study, the performance of the algorithms was evaluated based on various standard metrics. …”
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The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

“…The data then underwent stages of data preparation such as data preprocessing and feature extraction to facilitate further data transformation. The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

“…In the future, it is advisable to collect additional contextual information, such as a compilation of public holidays and promotions, implement realtime modifications, evaluate more advanced algorithms and enhance staff training and data literacy. …”
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Low-distortion MMSE speech enhancement estimator based on laplacian prior by Mahmmod, Basheera M., Ramli, Abd Rahman, Abdulhussain, Sadiq H., Syed Mohamed, Syed Abdul Rahman Al-Haddad, A. Jassim, Wissam

“…First, the observation signal is decorrelated through a real transform domain to obtain its transform coefficients. …”
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An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network by Ramli, Sofia Najwa

“…To enhance the overall performance, this thesis also evaluates the uniqueness and the stability of ECG signal using Independent Component Analysis (ICA) and fast Fourier Transform (FFT) algorithm respectively as the signal is applied as inputs of the proposed ECG-based authentication protocol model. …”
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Image Encrytion Using Block Based Transformation Algorithm by Bani Younes, Mohammad Ali, Jantan, Aman

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Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application by SHAMSIAH BINTI, SUHAILI

“…All these design methodologies aim to confirm the effect of HDL coding style on the performance of hardware algorithms implemented on FPGA. This research focuses on unkeyed algorithm hash functions, such as MD5, SHA-1, RIPEMD-160, and SHA-256, to evaluate and compare the design's performance, area implementation, maximum clock frequency, and power consumption. …”
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Security Analysis Between Static And Dynamic S-boxes In Block Ciphers by Nur Hafiza Zakaria, Azuan Ahmad, Azni Hazlizan Ab Halim, Farida Hazwani Mohd Ridzuan

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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems by Tara Othman Qadir, Tara Othman Qadir, N.S.A.M Taujuddin, N.S.A.M Taujuddin

“…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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Data-driven rice yield predictions and prescriptive analytics for sustainable agriculture in Malaysia by Marong, Muhammad, Husin, Nor Azura, Zolkepli, Maslina, Affendey, Lilly Suriani

“…A comprehensive dataset for rice yield prediction in Malaysia was constructed, encompassing yield data from 2014 to 2018. To elucidate the influence of climatic factors, long-term rainfall records spanning 1981 to 2018 were incorporated into the analysis. …”
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Enhancement of cryptography and transform domain in steganography for higher embedding capacity by Khalaf, Emad T

“…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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Transformation of industrial revolution 4.0 in the construction industry: Understanding drivers & barriers with dematel algorithm by Lee, Chia Kuang, Chen, Min Si, Mohd Zainudin, Nurhaizan, Fauzi, M. A., Toh, Tien Choon

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The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV) by MOHD SHARFRI, RAIHAN AMALINA

“…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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Enhancement of cryptography and transform domain in steganography for higher embedding capacity by Khalaf, Emad T

“…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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Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

“…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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