Search Results - (( evolution optimization svm algorithm ) OR ( program visualization matching algorithm ))
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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5
The Development of Color Based Visual Search Utility
Published 2001“…Finally, a binary search algorithm was used to match and display images requested. …”
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Examination timetable scheduling system (ETSS) / Fong Teng Heng
Published 2000“…ETSS uses Visual Basic 6.0 as a programming language. The database is stored in Access 97.…”
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8
OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Design And Evaluation Of A Modified Csma/Cd Mac Protocol On Single-Channel Optical Local Area Network
Published 2003“…The algorithm was developed in Visual Basic 6.0v programming language. …”
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Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri
Published 2017“…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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Bottleneck adjacent matching heuristics for scheduling a re-entrant flow shop with dominant machine problem
Published 2009“…Third, bottleneck approach was utilised in the study and the analysis using Visual Basic macro programming indicated that this method produced good results. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The system has integrated GIS, RS, DEM, data management capability and a dynamic basin model within a common Windows environment. The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
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