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Book Cover
E-book
Author International Conference on Computational and Bio Engineering (2nd : 2019)

Title Advances in computational and bio-engineering : proceeding of the International Conference on Computational and Bio Engineering, 2019. Volume 1 / S. Jyothi, D.M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya, editors
Published Cham : Springer, 2020

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Description 1 online resource (650 pages)
Series Learning and Analytics in Intelligent Systems ; v. 15
Learning and analytics in intelligent systems ; v. 15.
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
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
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
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
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
Summary This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes
Notes International conference proceedings
4.1 Proposed Algorithm
Print version record
Subject Computer science -- Congresses
Biomedical engineering -- Congresses
Artificial intelligence.
Biomedical engineering.
Maths for engineers.
Maths for scientists.
Technology & Engineering -- Engineering (General)
Technology & Engineering -- Biomedical.
Mathematics -- Applied.
Ingeniería biomédica
Tecnología, Transferencia de -- Matemáticas para ingenieros
Biomedical engineering
Computer science
Genre/Form Electronic books
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Jyothi, S., editor
Mamatha, D. M., editor
Satapathy, Suresh Chandra, 1964- editor.
Raju, K. Srujan, editor
Favorskaya, Margarita N., editor
ISBN 9783030469399
3030469395