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Primitive structural method for high capacity text steganography by Roslan, Nuur Alifah, Mahmod, Ramlan, Udzir, Nur Izura, Ahmad Zulkarnain, Zuriati

“…We propose a Primitive Structural algorithm for Arabic text steganography to encounter this issue. …”
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3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

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Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review by Ahmad, Rabiah, Abd Hamid, Nazirah, Selamat, Siti Rahayu

“…A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining.The current trend in role based access control is the role mining problem that can be described as the difficulty to uncover an optimum set of roles from the userpermission assignment.To solve this problem,the researchers have proposed role mining algorithms to produce role set and among the existing algorithms there is an intrinsic topic of the common perception to evaluate the goodness of the generated role set.Eventually,the value of the identified roles could be measured by the preferred metric of optimality namely the number of roles,sizes of userassignment and permission-assignment and Weighted Structural Complexity.Until now, there is some disagreement on the optimization metric but notably many researchers have agreed on the minimization of the number of roles as a solid metric.This paper discusses an overview of the current state-of-the-art on the recent role mining algorithms that focus on role minimization as an optimization metric to evaluate the goodness of the identified roles. …”
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An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail, Nur Halilah, Chen, Soong Der, Ng, Liang Shing, Ramli, Abd Rahman

“…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. Current IQA to detect presence of unnatural contrast enhancement: Lightness Order Error (LOE), Structure Measure Operator (SMO) and Statistical Naturalness Measure (SNM). …”
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The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

“…The database-indexing algorithm designed to be independent to the database. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

“…The comparison of results is based on the different user's perceptions, their involvement in the VIGA-20 and the difference of the fitness convergence as compared to Simple Genetic Algorithm.…”
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An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail N.H.B., Chen S.-D., Ng L.S., Ramli A.R.

“…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. Current IQA to detect presence of unnatural contrast enhancement: Lightness Order Error (LOE), Structure Measure Operator (SMO) and Statistical Naturalness Measure (SNM). …”

The role of vibrato in the perception of violin timbral quality by Law, Michele Soo Ling

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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

“…DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. …”
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Intelligent road recognition system for automous vehicle by Soon, Adrian Bee Toing

“…An optimized set of image quality and the ANN network structures are chosen.…”
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Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors by Lateef, Saheed Ademola

“…The objective of the study is to investigate the skills, Knowledge and ethics requirements from the perception of forensic accountants and auditors on fraud prevention in the Nigerian public sector. …”
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Classification of Parkinson's Disease (PD) Based on Multilayer Perception (MLPs) Neural Network and Anova as a feature extraction / Zahari Abu Bakar ... [et al.] by Abu Bakar, Zahari, Ibrahim, Nur Farahiah, Ispawi, Dzufi Iszura, Md. Tahir, Nooritawati

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Single image integrated deblurring algorithm in non-uniform environment by Rechard Lee, Celine Wong

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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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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

“…Based on the prosody analysis, a grammar-based prosody modification rules are proposed by integrating grammatical structure. Consequently, new rules and algorithm that is MustFront rule, limitation rule, and two-steps pitch contour algorithm are introduced to increase the synthesized speech quality. …”
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Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni by Mad Rosni, Nurul Najihah

“…There are numerous applications of AI in analysis, loading capacity prediction, and damage level prediction of existing structures for retrofitting. AI algorithms and models could function to enhance the analysis of buckling and fatigue of structural components. …”
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Overview of Evolutionary Algorithms and Neural Networks for Modern Mobile Communication by Lida Kouhalvandi, Ibraheem Shayea, Serdar Ozoguz, Hafizal Mohamad

Environmental sustainability and its antecedents among millennial and gen-z students in a public higher learning institution by Naziatul Aziah Mohd Radzi, Suziana Hassan, Mohamad Syahrul Nizam Ibrahim, Normaizatul Akma Saidi, Hasif Rafidee Hasbollah

“…We designed a questionnaire and gathered information through an online survey. We used the Structural Equation Modelling Partial Least Square (SEM-PLS) algorithm, specifically SMART PLS 3.2.7, to analyze the data for hypothesis testing. …”
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A technique for checking the adequacy of formal model by Shkarupylo, Vadym V., Jamil Alsayaydeh, Jamil Abedalrahim, Dusheba, Valentyna V., Tomičić, Igor, Chemeris, Alexander A.

“…To prove the proposed technique, the case study has been conducted. To this end, the algorithms from the spacecraft domain have been considered. …”
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Synthetic authenticity and audience trust in AI-generated intangible cultural heritage: a qualitative multimodal study by Chuyao, Wang, Adzharuddin, Nor Azura

“…Using a qualitative multi-method approach, it analyzes two notable Chinese AI-ICH cases—Baidu Baike’s AI Museum and Guangming Online’s Intangible Heritage Revived series—via multimodal content analysis and open coding of semi-structured interviews. Results identify four thematic aspects shaping audience perceptions: perceived authenticity, emotional resonance, platform credibility, and participatory co-creation. …”
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