Search Results - (( using all perceptions algorithm ) OR ( java implication based algorithm ))
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Students’ perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making
Published 2024“…Abstract Aim: The present study aimed to explore the perceptions of dental students regarding the ethical considerations associated with the use of artificial intelligence (AI) algorithms in clinical decision-making. …”
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Demand analysis of flood insurance by using logistic regression model and genetic algorithm
Published 2018“…The analysis was done by using logistic regression model, and to estimate model parameters, it is done with genetic algorithm. …”
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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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Density based subspace clustering: a case study on perception of the required skill
Published 2014“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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Density subspace clustering: a case study on perception of the required skill
Published 2014“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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Dual vector control strategy for a three-stage hybrid cascaded multilevel inverter
Published 2010“…This paper presents a voltage control algorithm for a hybrid multilevel inverter based on a staged-perception of the inverter voltage vector diagram. …”
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An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement
Published 2023“…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
Published 2018“…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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Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Comparative analysis of evaluation indicators for all trading algorithms has been assessed and discussed. …”
thesis::master thesis -
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Object Isolation In A Random Environment Using Manipulation Primitives Approach
Published 2019“…The algorithm was demonstrated using a KUKA Youbot with a camera fitted above the workspace. …”
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Development of an Electronic Visual Aid for Monocular Visual Impaired Patients
Published 2023“…In terms of software, the algorithms for the field of vision and depth perception was focused. …”
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DEVELOPMENT OF AN ELECTRONIC VISUAL AID FOR MONOCULAR VISUAL IMPAIRED PATIENTS
Published 2023“…In terms of software, the algorithms for the field of vision and depth perception was focused. …”
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Particle-based perception of garment folding for robotic manipulation purposes
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Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
Published 2023“…The radial basis function (RBF) neural network�whale algorithm (WA) model, the multilayer perception (MLP�WA) model, and genetic programming (GP) were used to predict GWL. …”
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A univariate marginal approach for pairwise testing of software product lines
Published 2017“…This is due to the very large number of possible products that can be produced or configured using a combination of features in the SPL. Pairwise Testing is a type of Combinatorial Testing, influenced by the perception that two factors (or features in the context of SPL testing) stimulate most faults. …”
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Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators
Published 2023“…Yet with all the potential benefits that AI and machine learning (ML) may provide students, there remains a general reticence to adopt this technology because of misconceptions and perceptions that elementary educators will need expensive equipment, robust support from IT, or to retool and learn programming or coding. …”
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Does organizational culture matter in the relationship between trust and SMEs performance
Published 2018“…Findings – The research findings were established using SmartPLS Algorithm and bootstrapping functions. …”
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