Search Results - (( surface identification based algorithm ) OR ( java implication based algorithm ))
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…Hence, the development of DIS algorithm has successfully help in producing the edges features on a particular surface topography that are accurate and in line with what has been agreed based on human perception.…”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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Modelling of cupping suction system based on system identification method
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Texture-based classification of workpiece surface images using the support vector machine
Published 2015“…Identifying the specific machining processes used to produce specific workpiece surfaces is very useful in materials inspection. Machine vision can be used to semi- or fully automate this identification process by firstly extracting features from captured workpiece images, followed by analysis using machine learning algorithms. …”
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Modeling of cupping suction system based on system identification method
Published 2022“…Cupping suction plant identification utilizing a nonlinear model based on the modified Sine Cosine Algorithm (mSCA). …”
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Image reconstruction for liquid-gas regime identification based on multiple excitation sources in electrical resistance tomography system
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Maass cusp form on asymmetric hyperbolic torus
Published 2017“…The computation of MCF is an adapted algorithm of Hejhal and Then, i.e. based on implicit automorphy and finite Fourier series. …”
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Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM)
Published 2016“…Currently, there are several segmentation techniques which have been used in object identification such as thresholding and clustering techniques.However, the conventional techniques have difficulties in segmenting fruit images which captured under natural illumination due to the existence of non-uniform illumination on the object surface.The presence of different illuminations influences the appearance of the interest objects and thus misleads the object analysis.Therefore, this research has produced an innovative segmentation algorithm for fruit images which is able to increase the segmentation accuracy.The developed algorithm is an integration of modified thresholding and adaptive K-means method.The integration of both methods is required to increase the segmentation accuracy for fruits images with different surface colour.The results showed that the innovative method is able to segment the fruits images with high accuracy value.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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DEVELOPMENT OF POINT CLOUD DESCRIPTORS FOR ROBUST 3D RECOGNITION
Published 2015“…Among many surface descriptors proposed in the literature, orientation based descriptors are the most commonly used, however they are represented with large and sparse histograms. …”
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Assessment of Trace Metals in Water and Sediment in a Tropical River Potentially Affected by Land Use Activities in Northern Sarawak, Malaysia
Published 2017“…The background values of metals in water were determined based on 95th percentile of unaffected samples. For sediment, the baseline values were derived from the cumulative distribution curves with kneedle algorithm incorporated to improve the identification of background thresholds for assessment of contamination. …”
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…—In today's digital landscape, the identification of malicious software has become a crucial undertaking. …”
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…In today's digital landscape, the identification of malicious software has become a crucial undertaking. …”
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