Search Results - (( developing green visualization algorithm ) OR ( java implementation phase algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Analysis and modeling of database storage optimization power consumption usage for green data centers
Published 2014“…The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Monitoring urban green space (UGS) changes by using high resolution aerial imagery: a case study of Kuala Lumpur, Malaysia
Published 2019“…The study used available aerial imagery data for 2002, 2012, and 2017, and database record of green space. The study had classified UGS by using the Support Vector Machine (SVM) algorithm. …”
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Color recognition wearable device using machine learning for visually impaired person
Published 2018“…The results for RGB to HSV color conversion algorithm were performed with 3 different colors (red, blue, and green). …”
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Pseudo-colour with K-means Clustering Algorithm for Acute Ischemic Stroke Lesion Segmentation in Brain MRI
Published 2021“…Colourization is the method of adding colours to greyscale images which allocate luminance or intensity for red, green, and blue channels. The greyscale image is converted to pseudo-colour is to intensify the visual perception and deliver more information. …”
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Computer vision automation system for sorting partially overlapping tiles
Published 2019“…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…The new method, named as Adaptive K-means, is developed based on clustering approach. This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…Attackers use code obfuscation to conceal malicious code, making it difficult for conventional systems and machine learning classifiers to detect threats. Developing a visual dataset with parallel deep learning (PDL) techniques may help overcome these challenges. …”
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Review on computational strategies for bi-layered metal powder compaction
Published 2024“…Development on materials is vital for modern appliances through inventiveness of experimental process, analyzation and optimization encompassing association of its investigated sub-materials. …”
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