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A Model for Evaluation of Cryptography Algorithm on UUM Portal by Norliana, Abdul Majid

“…The development of the simulation model consists of seven steps. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

“…This thesis will present the design, development and analysis of performance on a developed Double Stage Filter (DSF) algorithm and other existing stereo matching algorithms. …”
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Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

“…For evaluation and comparison analysis, self-charging with PI and FLC algorithms have been developed too. …”
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Development of hybrid artificial intelligent based handover decision algorithm by Aibinu, Abiodun Musa, Onumanyi, Adeiza J., Adedigba, A. P., Ipinyomi, M., Folorunso, T. A., Salami, Momoh Jimoh Eyiomika

“…The performance of the newly developed k � step ahead ANN based RSS prediction algorithm was evaluated using simulated and real data acquired from available mobile communication networks. …”
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Numerical analysis by Butcher, John

“…These are (a) to keep errors in each step small, (b) to make sure that the overall algorithm is stable and that errors generated in any step do not have an overwhelming affect on the accuracy of later steps and (c) to keep the computational costs as low as possible. …”
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A comparative evaluation of PID-based optimisation controller algorithms for DC motor by Ahamed S.R., Parumasivam P., Hossain Lipu M.S., Hannan M.A., Ker P.J.

A novel embedding method to increase capacity and robustness of low-bit encoding audio steganography technique using noise gate software logic algorithm by Ahmed, M.A., Kiah, M.L.M., Zaidan, B.B., Zaidan, A.A.

“…Audio quality evaluation has used to evaluate our purposed method in two ways. …”
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DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm by Zainuri, M.A.A.M., Radzi, M.A.M., Soh, A.C., Mariun, N., Rahim, N.A.

“…For evaluation and comparison analysis, self-charging with PI and FLC algorithms have been developed too. …”
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Three-dimensional coverage control for multi-unmanned aerial vehicle by Siow, Wen Hao

“…Hence, this research addresses the development and evaluation of a Three-Dimensional (3D) coverage control algorithm for Multi Unmanned Aerial Vehicle (MUAV). …”
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Optimal under voltage load shedding based on stability index by using artificial neural network by Sharman, Sundarajoo

“…The algorithm is working in one step to shed the load. …”
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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

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Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim by Shahirah, Mohamed Hatim

“…This system uses four steps of Genetic Algorithm technique which are initialization, evaluation, crossover and mutation to produce the new timetable. …”
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Development of controller for an underactuated autonomous underwater vehicle (AUV) by Mat-Noh, Maziyah, Zain, Zainah Md, Abd Ghani, N. M., Abdul Wahab, Yasmin, Razali, Akhtar Razul

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Enhancement of Single and Composite Images Based on Contourlet Transform Approach by Melkamu, Hunegnaw Asmare

“…Image enhancement is an imperative step in almost every image processing algorithms. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

“…Conclusively, the experimental and statistical evaluations performed in this study proved the capability of the developed NPO in solving real-world optimization problems.…”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

“…In order to develop the proposed methods, the baseline techniques are studied to develop the proposed algorithms. …”
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Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm by Bagherian, Elhaam

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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…The developed localization framework is separately validated and evaluated each optimized step under various evaluation criteria, in terms of accuracy, stability, and cost, etc. …”
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