Θέματα: '; “...Education Research Methodology...”
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Θέματα: '; “...Economic forecasting Methodology...”
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Θέματα: '; “...Social sciences Research Methodology...”
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Θέματα: '; “...Social sciences Research Methodology...”
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Θέματα: '; “...Sociology Research Methodology...”
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Πίνακας περιεχομένων: '; “...: Expressions -- Chapter 4: Elemental Types -- Chapter 5: Composite Types -- Chapter 6: Functions -- Chapter 7...”
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“...04421nam a2200325 a 4500001000800000008004100008020001800049035001000067040001200077082001200089245025400101260002900355300002400384490005200408500297700460504005103437650003403488650004003522650006903562650007303631700001503704700001903719700003803738700002103776700002903797711008003826830005603906852008603962856004704048#30;1/49513#30;201102s2020 enk b 00010 eng #30; #31;a9783030469382#30; #31;l52523#30; #31;aGR-PeUP#30;00#31;a004 ADV#30;00#31;aAdvances in computational and bio-engineering :#31;bproceeding of the International Conference on Computational and Bio Engineering, 2019. Volume 1 /#31;cS. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya, editors.#30;0 #31;aCham :#31;bSpringer,#31;c2020.#30; #31;a667 σ. ;#31;c24 εκ.#30;1 #31;aLearning and Analytics in Intelligent Systems ;#30; #31;aContents: Intro -- Contents -- Polycystic Ovarian Follicles Segmentation Using GA -- 1 Introduction -- 2 Image Segmentation -- 2.1 Edge Detection with Sobel Operator -- 2.2 Edge Detection with Canny Operator -- 2.3 Genetic Algorithm for Edge Detection -- 3 Result and Discussions -- 4 Conclusion -- References -- An Evolutionary Optimization Methodology for Analyzing Breast Cancer Gene Sequences Using MSAPSO and MSADE -- 1 Introduction -- 2 Soft Computing Techniques for Gene Sequence Analysis -- 2.1 Particle Swarm Optimization (PSO) -- 2.2 Differential Evolution (DE) -- 3 MSA for Gene Sequence Analysis Contents: 4 Proposed Evolutionary Methodology -- 4.1 Implementation of Evolutionary Methodologies MSAPSO and MSADE -- 4.2 Algorithm for MSAPSO -- 4.3 Algorithm for MSADE -- 4.4 Flow Chart for MSAPSO -- 4.5 Flow Chart for MSADE -- 5 Result Analysis -- 5.1 Representation of Resultant Values in a Table Using Hybridized Algorithm MSAPSO -- 5.2 Representation of Resultant Values in a Table Using Hybridized Algorithm MSADE -- 6 Conclusion -- References -- Performing Image Compression and Decompression Using Matrix Substitution Technique -- 1 Introduction -- 2 Compression of an Image Contents: 3 Decompression of an Image -- 4 Computational Results -- 4.1 Different Compression Ratios of an Image -- 4.2 Output Results -- 4.3 Error Measurement -- 4.4 Comparison of Results -- 5 Conclusion -- References -- Classification of Cotton Crop Pests Using Big Data Analytics -- 1 Introduction -- 2 Literature Survey -- 3 Problem Domain -- 3.1 Description of Cotton Pests Dataset -- 4 Methodology -- 4.1 Big Data Analytics -- 4.2 Classification of Cotton Crop Pests -- 4.3 Machine Learning -- 5 Experimental Results -- 5.1 Decision Tree Classifier for Pest Classification -- 5.2 Test Results and Analysis Contents: 6 Conclusion -- References -- Effect of Formulation Variables on Optimization of Gastroretentive In Situ Rafts of Bosentan Monohydrate HCl by 32 Factorial Design -- 1 Introduction -- 2 Experimental -- 2.1 Materials -- 2.2 Optimization of Variables Using 32 Factorial Design -- 2.3 Method of Preparation -- 2.4 Methods of Evaluation -- 2.5 Drug Content -- 2.6 Overall Desirability (OD) Factor -- 2.7 Drug-Excipient Compatibility Studies -- 2.8 In-Vivo Studies -- 2.9 Short Term Stability Studies -- 3 Results and Discussion -- 3.1 Effect of Polymer Ratio (X1) on Y1-Y4 Contents: 3.2 Effect of Quantity of Effervescent (X2) on Y1-Y4 -- 3.3 Comparison of Effect of X1 and X2 -- 3.4 Other Parameters -- 3.5 Characterization of the Best Selected Formulation -- 3.6 Compatibility Studies -- 3.7 In Vivo Studies -- 3.8 Stability Studies -- 4 Conclusion -- References -- Performance Analysis of Apache Spark MLlib Clustering on Batch Data Stored in Cassandra -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Apache Spark Machine Learning Library -- 3.2 Clustering Models -- 3.3 Apache Cassandra -- 3.4 Spark Cassandra Integration -- 4 Proposed System#30; #31;aΠεριέχει βιβλιογραφία.#30; 4#31;aComputer science#31;vCongresses.#30; 4#31;aBiomedical engineering#31;xCongresses.#30; 4#31;aΕπιστήμη υπολογιστών#31;xΣυνέδρια.#30; 4#31;aΒιοϊατρική τεχνολογία#31;xΣυνέδρια.#30;1 #31;aJyothi, S.#30;1 #31;aMamatha, D. M.#30;1 #31;aSatapathy, Suresh Chandra,#31;d1964-#30;1 #31;aRaju, K. Srujan.#30;1 #31;aFavorskaya, Margarita N.#30;2 #31;aInternational Conference on Computational and Bio Engineering (2nd : 2019).#30; 2#31;aLearning and analytics in intelligent systems ;#31;v15#30; #31;aINST#31;bUNIPILB#31;cMAIN#31;e20201102#31;h004 ADV#31;p00183750#31;q00183750#31;tLOAN#31;vv.1:#31;y0#31;zv.1#31;41#30;4 #31;d/webopac/covers/03/52523_9783030469382.jpg#30;#29;...”
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“...7 vol; 22cm....”
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Πίνακας περιεχομένων: '; “...Τ.1. Methodology, tools and case studies in product development /...”
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Θέματα: '; “...Personnel management Research Methodology Congresses...”
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Θέματα: '; “...Social sciences Research Methodology...”
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Θέματα: '; “...Research Methodology...”
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