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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

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

“…In the field of stereo vision, some of existing stereo matching algorithms are designed with less accuracy of algorithm. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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An introduction to swarming robotics: application development trends by Zainal Abidin, Zulkifli

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A review on the treatments for monocular visual impairment for the development of a visual aid by Ravindran N., Mohamed H.

“…Investigations include reviewing the principle required to be embedded into the visual aid such as the distance and depth perception. Stereoscopic cameras and algorithms are also further discussed to interlink with the concepts of depth perception. …”

Intelligent road recognition system for automous vehicle by Soon, Adrian Bee Toing

“…For an autonomous vehicle to move with flexibility or to adapt to a new road environment, it needs to have human-like perception and intelligence. This project proposes an intelligent visual perception system for an autonomous vehicle. …”
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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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The application of Hough Transform for corner detection by Jamaludin, Mohad Fuad

“…Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. To illustrate the problem, the interface program is developed by using Microsoft Visual C++ 6.0.…”
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Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

“…For object classification, some methods have the ability to identify objects as good as human experts who normally classify objects based on visual perception. …”
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The effects of COVID-19 in global warming through the application of data science by Rafia, Tasnim, Mahmood Hasan, Tanveer, Hassan, Raini

“…The focal point is concerning two contrasted states of global warming whether Covid-19 has any influence in this regard. Some contemporary temperature datasets, Nitrogen Dioxide emission datasets, that incorporate years (2016 to 2021), have been analysed, using machine learning algorithms in order to accomplish the assertion. …”
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Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

“…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Development of gender and race recognition system using speech and recognition by using frequency spectrum by Ng Siew Fong

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A real time deep learning based driver monitoring system by Mohd Hanafi, Mohamad Faris Fitri, Md. Nasir, Mohammad Sukri Faiz, Wani, Sharyar, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Gulzar, Yonis, Hamid, Yasir

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Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

“…Partial Least Squares Method (PLS) algorithm was used for testing of the study‘s hypotheses. …”
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Intelligent mining of large-scale bio-data: bioinformatics applications by Hashemi, Farahnaz Sadat Golestan, Ismail, Mohd Razi, Yusop, Mohd Rafii, Hashemi, Mahboobe Sadat Golestan, Shahraki, Mohammad Hossein Nadimi, Rastegari, Hamid, Miah, Gous, Aslani, Farzad

“…The present paper argues how artificial intelligence can assist bio-data analysis and gives an up-to-date review of different applications of bio-data mining. It also highlights some future perspectives of data mining in bioinformatics that can inspire further developments of data mining instruments. …”
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Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh by Mohammed Saleh, Mohammed Ahmed

“…All of those encryption algorithms are classified as asymmetric and symmetric algorithms. …”
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