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54 articles for “Extraction Optimization”
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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
Research ArticleOpen accessIn the abstractA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtraction, Purification and Characterization of Fish Chymotrypsin: A ReviewLiang Zhou, Suzanne M. Budge, Abdel E. Ghaly et al.Problem statement: Solid fish waste is generated from the unwanted parts of fish including heads, tails, fins, frames, offal (guts, kidney and liver) and skin. It accounts for up to 80% of material from production of surimi, 66% from production of fillet and 27% from production of headed and gutted fish. Currently, fish wastes are disposed off in land-based waste … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 3 · 22 Sep 2011 · 10,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolution of Microbial Biomasses C and N during the Composting of Municipal solid WastesOlfa Fourti, Naceur Jedidi, Abdennaceur HassenProblem statement: The aim of this study was mainly focused on the evolution of microbial biomasses C and N during the composting of municipal solid wastes. Approach: The carbon and the nitrogen of the microbial biomass (BC and BN) were studied using the fumigation-extraction method. Results: The dynamics of the BC/BN ratio, index of the chemical composition of the whole … …American Journal of Environmental Sciences, Vol. 7, Issue 1 · 28 Feb 2011 · 6,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated 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
Review ArticleOpen accessIn the abstractChronological Advancement in Image Processing from Lime Stone Mofits to Superpixel ClassificationEr. Sumit Kaur, R. K. BansalImage processing is widely used method for representation and extraction of information. To get the information from the areas and objects which are not possible to be physically contact directly remote sensing image processing is used. While extracting the information from the remote sensed images the major issues that affect the accuracy of the classification is the presence of mixed … …Journal of Computer Science, Vol. 11, Issue 11 · 19 Jan 2016 · 6,778 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature ConcatenationMuhammad Ahtsam Naeem, Muhammad Asim Saleem, Jarrar Amjad et al.The potato is a widely grown crop in many regions of the world. In recent decades, potato farming has gained incredible traction in the world. Potatoes are susceptible to several illnesses that stunt their development. This plant seems to have significant leaf disease. Early Blight and Late Blight are two prevalent leaf diseases that affect potato plants. The early detection … …Journal of Computer Science, Vol. 21, Issue 5 · 12 May 2025 · 5,171 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTemperature Optimization for Bioethanol Production from Corn Cobs Using Mixed Yeast StrainsClarence S. Yah, Sunny E. Iyuke, Emmanuel I. Unuabonah et al.Problem statement: Dilute sulphuric acid and enzymatic hydrolysis methods were used for sugar extraction. Xylose and glucose sugars were obtained from corn cobs. Approach: Acid hydrolysis of corn cobs gave higher amount of sugars than enzymatic hydrolysis. Results: The results showed that optimal temperature and time for sugar fermentation were approximately 25°C and 50 h by two yeast strains (S. … …OnLine Journal of Biological Sciences, Vol. 10, Issue 2 · 30 Jun 2010 · 9,339 accessesView PDFCite