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04421nam a2200325 a 4500 |
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201102s2020 enk b 00010 eng |
| 020 |
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|a 9783030469382
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| 035 |
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|l 52523
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| 040 |
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|a GR-PeUP
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| 082 |
0 |
0 |
|a 004 ADV
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| 245 |
0 |
0 |
|a Advances in computational and bio-engineering :
|b proceeding of the International Conference on Computational and Bio Engineering, 2019. Volume 1 /
|c S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya, editors.
|
| 260 |
0 |
|
|a Cham :
|b Springer,
|c 2020.
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| 300 |
|
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|a 667 σ. ;
|c 24 εκ.
|
| 490 |
1 |
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|a Learning and Analytics in Intelligent Systems ;
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| 500 |
|
|
|a Contents: 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
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| 504 |
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|a Περιέχει βιβλιογραφία.
|
| 650 |
|
4 |
|a Computer science
|v Congresses.
|
| 650 |
|
4 |
|a Biomedical engineering
|x Congresses.
|
| 650 |
|
4 |
|a Επιστήμη υπολογιστών
|x Συνέδρια.
|
| 650 |
|
4 |
|a Βιοϊατρική τεχνολογία
|x Συνέδρια.
|
| 700 |
1 |
|
|a Jyothi, S.
|
| 700 |
1 |
|
|a Mamatha, D. M.
|
| 700 |
1 |
|
|a Satapathy, Suresh Chandra,
|d 1964-
|
| 700 |
1 |
|
|a Raju, K. Srujan.
|
| 700 |
1 |
|
|a Favorskaya, Margarita N.
|
| 711 |
2 |
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|a International Conference on Computational and Bio Engineering (2nd : 2019).
|
| 830 |
|
2 |
|a Learning and analytics in intelligent systems ;
|v 15
|
| 852 |
|
|
|a INST
|b UNIPILB
|c MAIN
|e 20201102
|h 004 ADV
|p 00183750
|q 00183750
|t LOAN
|v v.1:
|y 0
|z v.1
|4 1
|
| 856 |
4 |
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|d /webopac/covers/03/52523_9783030469382.jpg
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