Search Results - (( basic evaluation method algorithm ) OR ( data visualization matching algorithm ))

Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

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KNN Algorithm to Determine Optimum Agricultural Commodities in Smart Farming by Cucus, Ahmad, Al Fahim, Mubarak Ali, Afrig, Aminuddin, Pristyanto, Yoga, Abdulloh, Ferian Fauzi, Zafril Rizal, M. Azmi

“…At the end of this study, data visualization showed the types of plants that match the case examples from a field. …”
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

“…This demonstrate the intensity of the correlation between that aspect of data and a specific cluster. In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes by Dooraki A.R., Hooshyar D., Yousefi M.

“…Big data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithms…”

Converged Classification Network For Matching Cost Computation by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

“…The stereo matching algorithm capable of producing the disparity or depth map in computer. …”
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

“…Finally, a binary search algorithm was used to match and display images requested. …”
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Preserving the topology of self-organizing maps for data analysis: A review by Bariah, Yusob, Zuriani, Mustaffa, Siti Mariyam, Shamsuddin

“…This paper presents detail explanation on SOM learning algorithm and its applications. Some issues related to SOM's architecture are also discussed, namely the formulation of training data from input samples, and the Best Matching Unit (BMU) identification for better visualization of large datasets, and improvement made to the SOM algorithm.…”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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Fuzzy matching scheme for stereo vision based electronic travel aid by Balakrishnan, G., Sainarayanan, G., Nagarajan, R., Sazali, Yaacob

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Wifi4U: Broadband recommendation system by using rule-based and cosine similarity / Putri Nur Syarfa Maizan by Maizan, Putri Nur Syarfa

“…In this system, Forward Chaining in Rule-Based algorithm is used to filter user’s preferences and Web-Scraping technique is used to extract data and information from websites. …”
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

“…Voltage stability margin (VSM) can be basically identified by the multi-solution load flow calculation method. …”
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Wood species recognition based on phase - only correlation (POC) technique by Nik Kamariah, Nik Ismail

“…Each step contains specific calculations and algorithms to obtain details on the wood’s features and match them with the possible matching species. …”
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Job-Applicant matchmaking system using natural language processing by Wooi, Zhuang Ru

“…The system is built using Python as the primary language, with the backend consisting of web-scraping, NLP, and data visualization/dashboard libraries such as Selenium, BeautifulSoup, SpaCy, Scikit-Learn, Natural Language Toolkit (NLTK), Gensim, and Streamlit. …”
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A novel lip geometry approach for audio-visual speech recognition by Mohd Zamri, Ibrahim

“…Lip geometry features including height, width, ratio, area, perimeter and various combinations of these features were evaluated to determine which performs best when representing speech in the visual domain. Second, a novel template matching techniqLie able to adapt dynamic differences in the way words are uttered by speakers has been developed, which determines the best fit of an unseen feature signal to those stored in a database template. …”
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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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Text to Image Generation Using Machine Learning by Rishab, Tiwari, Chitra, K.

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Data depublication using : Hashing algorithm / Naimah Nayan by Nayan, Naimah

“…The recommendation for future work is to evaluate various type of data and different type of hashing algorithm.…”
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An ensemble feature selection method to detect web spam by Oskouei, Mahdieh Danandeh, Razavi, Seyed Naser

“…Moreover, the best values of evaluation metrics in our proposed method are optimal in comparison to the other methods reported in this paper. …”
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Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

“…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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