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15 results for “3D particle extraction”
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Research ArticleOpen accessEvery word in the titleImproving Term Extraction Using Particle Swarm Optimization TechniquesMohammad Syafrullah, Naomie SalimProblem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,138 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomated 3D Particle Field Extraction and Tracking System Using Digital in-line HolographyHesham EldeebDigital holography for 3D particle field extraction and tracking is an active research topic. It has a great application in realizing characterization of micro-scale structures in microelectromechanical systems (MEMS) with high resolution and accuracy. In-line configuration is studied in this study as the fundamental structure of a digital holography system. Digital holographic approach, not only eliminates wet chemical processing and … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,536 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRule Extraction from Radial Basis Functional Neural Networks by Using Particle Swarm OptimizationM. R. Senapati, I. Vijaya, P. K. DashRadial basis functional neural networks (RBFNN) provide an outstanding possibility for generating rules for solving pattern classification problems. One of the most important factors in RBFNN is finding out the center and spread. This paper examines rules extracted from RBF networks trained by Particle swarm Optimization (PSO). The selection of the RBFNN centers, spreads and the network weights can be … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Different Extraction Methods on the Quality of Peony Seed Oil and Its Emulsion PropertiesKang Li, Chao Du, Shuxian Pang et al.Peony seed oil, as a functional oil rich in ω-3 polyunsaturated fatty acids and natural antioxidant components, has its extraction process directly affecting the maintenance of bioactive substances and the added value of the product. In this analysis, the effects of wet milling-micronized continuous leaching method (MCI), solvent extraction (SE), soxhlet extraction (SOXE) and ethanol-assisted enzymatic hydrolysis (EAH) on the … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 1,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltrasound-Assisted Enzymatic Extraction of Polysaccharides from Waste Corn Bract: Process Optimization, Characterization, Antioxidant and Anti-Diabetic PotentialsYihui Liu, Yayi Li, Na Niu et al.Corn bract is the main agricultural waste of corn production and processing. Little information is focused on its value-added utilization. In the present study, the Ultrasound-Assisted Enzymatic Extraction (UAEE) was used for the first time to extract Corn Bract Polysaccharides (CBPs). The optimum conditions of UAEE for CBPs extraction were: Cellulase amount of 0.7%, enzymolysis for 58 min, and ultrasound … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 28 Jun 2022 · 6,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtraction Optimization of Essential Oil from Medicago hispida and Preliminary Inhibitory Mechanism Against Escherichia coliXiulan Chu, Qianfeng Chen, Tong Wang et al.In this study, the extraction optimization, characterization, antioxidant evaluation and preliminary inhibitory mechanism against Escherichia coli of the essential oil from dried Medicago hispida (EOMH) were explored to uncover the pending questions that had been raised in our previous work and to enlarge the industrial potential of EOMH production. The optimal parameters for EOMH extraction were: Extraction time of 7 … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 4 · 20 Nov 2021 · 5,789 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing the Lignin Fraction Extracted from Brazilian Energy CropsDiogo José Horst, Jhon Jairo Ramírez Behainne, Pedro Paulo de Andrade Junior, Luís Filippe SerpeThis study quantifies the extraction performance and some properties of the lignin obtained from six crops with potential for generating thermal energy in Brazil. A full factorial design (22) with four replicates including two extraction methods and two particles size distributions was adopted for assessing the fraction of lignin, as well as its Higher Heating Value (HHV) and composition given … …American Journal of Environmental Sciences, Vol. 11, Issue 1 · 27 Apr 2015 · 7,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARATIVE ANALYSIS OF OPTIMIZATION TECHNIQUES FOR ARTIFICIAL NEURAL NETWORK IN BIO MEDICAL APPLICATIONSV. Saishanmuga Raja, S. P. RajagopalanIn this study we compare the performance of three evolutionary algorithms such as Genetic Algorithm (GA) Particle Swarm Optimization (PSO) and Ant-Colony Optimization (ACO) which are used to optimize the Artificial Neural Network (ANN). Optimization of Neural Networks improves speed of recall and may also improve the efficiency of training. Here we have used the Ant colony optimization, Particle Swarm … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 7,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractFEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORKYogapriya Jaganathan, Ila VennilaFeature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research field. The proposed CBMIR is used a unified approach based on extraction of visual features, optimized feature selection, classification of optimized features and similarity … …Journal of Computer Science, Vol. 9, Issue 11 · 24 Sep 2013 · 6,982 accessesView PDFCite