Normal view MARC view ISBD view

Computational Intelligence and Big Data Analytics : Applications in Bioinformatics.

By: Satyanarayana, Ch.
Contributor(s): Rao, Kunjam Nageswara | Bush, Richard G.
Material type: TextTextSeries: eBooks on Demand.SpringerBriefs in Applied Sciences and Technology Ser: Publisher: Singapore : Springer, 2018Copyright date: ©2019Description: 1 online resource (139 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9789811305443.Subject(s): Computational intelligence | Big data | Data miningGenre/Form: Electronic books.Additional physical formats: Print version:: Computational Intelligence and Big Data Analytics : Applications in BioinformaticsDDC classification: 006.3019 LOC classification: TA1-2040Online resources: Click here to view this ebook.
Contents:
Intro -- Contents -- 1 A Novel Level-Based DNA Security Algorithm Using DNA Codons -- 1.1 Introduction -- 1.2 Related Work -- 1.3 Proposed Algorithm -- 1.3.1 Encryption Algorithm -- 1.3.2 Decryption Algorithm -- 1.4 Algorithm Implementation -- 1.4.1 Encryption -- 1.4.2 Decryption -- 1.5 Experimental Results -- 1.5.1 Encryption Process -- 1.5.2 Decryption Process -- 1.5.3 Padding of Bits -- 1.6 Result Analysis -- 1.7 Conclusions -- References -- 2 Cognitive State Classifiers for Identifying Brain Activities -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 fMRI-EEG Analysis -- 2.2.2 Classification Algorithms -- 2.3 Results -- 2.4 Conclusion -- References -- 3 Multiple DG Placement and Sizing in Radial Distribution System Using Genetic Algorithm and Particle Swarm Optimization -- 3.1 Introduction -- 3.2 DG Technologies -- 3.2.1 Number of DG Units -- 3.2.2 Types of DG Units -- 3.3 Mathematical Analysis -- 3.3.1 Types of Loads -- 3.3.2 Load Models -- 3.3.3 Multi-objective Function (MOF) -- 3.3.4 Evaluation of Performance Indices Can Be Given by the Following Equations -- 3.4 Proposed Methods -- 3.4.1 Genetic Algorithm (GA) -- 3.4.2 Particle Swarm Optimization (PSO) -- 3.5 Results and Discussions -- 3.5.1 33-Bus Radial Distribution System -- 3.5.2 69-Bus Radial Distribution System -- 3.6 Conclusions -- References -- 4 Neighborhood Algorithm for Product Recommendation -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Existing System -- 4.4 Proposed System -- 4.5 Experiments and Results -- 4.6 Conclusion and Future Work -- References -- 5 A Quantitative Analysis of Histogram Equalization-Based Methods on Fundus Images for Diabetic Retinopathy Detection -- 5.1 Introduction -- 5.1.1 Extracting the Fundus Image From Its Background -- 5.1.2 Image Enhancement Using Histogram Equalization-Based Methods -- 5.2 Image Quality Measurement Tools (IQM)-Entropy.
5.3 Results and Discussions -- 5.4 Conclusion -- References -- 6 Nanoinformatics: Predicting Toxicity Using Computational Modeling -- 6.1 Introduction -- 6.2 Identification of Properties -- 6.2.1 Physicochemical Properties -- 6.2.2 Theoretical Chemical Descriptor -- 6.3 Computational Techniques -- 6.4 Prediction on the Basis of Live Cells -- 6.5 Experimental Analysis -- 6.6 Affirmation of the Model -- 6.7 Conclusion -- References -- 7 Stock Market Prediction Based on Machine Learning Approaches -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Conclusion -- References -- 8 Performance Analysis of Denoising of ECG Signals in Time and Frequency Domain -- 8.1 Introduction -- 8.2 Denoising -- 8.3 Denoising Filters -- 8.4 Proposed Algorithm in Time Domain -- 8.5 Denoising in Frequency Domain -- 8.6 Proposed Algorithm in Frequency Domain -- 8.7 Results and Discussion -- 8.8 Conclusion -- References -- 9 Design and Implementation of Modified Sparse K-Means Clustering Method for Gene Selection of T2DM -- 9.1 Introduction -- 9.2 Importance of Genetic Research in Human Health -- 9.3 Dataset Description -- 9.4 Implementation of Existing K-Means Clustering Algorithm -- 9.5 Implementation of Proposed Modified Sparse K-Means Clustering Algorithm -- 9.6 Results and Discussion -- 9.6.1 Cluster Error Analysis -- 9.6.2 Selection of More Appropriate Gene from Cluster Vectors -- 9.7 Conclusion -- References -- 10 Identifying Driver Potential in Passenger Genes Using Chemical Properties of Mutated and Surrounding Amino Acids -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Dataset Specification -- 10.2.2 Computational Methodology -- 10.3 Results and Discussions -- 10.3.1 Mutations in Both the Driver and Passenger Genes -- 10.3.2 Block-Specific Comparison Driver Versus Passenger Protein -- 10.4 Conclusion -- References.
11 Data Mining Efficiency and Scalability for Smarter Internet of Things -- 11.1 Introduction -- 11.2 Background Work and Literature Review -- 11.3 Experimental Methodology -- 11.4 Results and Analysis -- 11.4.1 Execution Time -- 11.4.2 Machine Learning Models -- 11.5 Conclusion -- References -- 12 FGANN: A Hybrid Approach for Medical Diagnosing -- 12.1 Introduction -- 12.2 Preprocessing -- 12.3 Genetic Algorithm-Based Feature Selection -- 12.4 Artificial Neural Network-Based Classification -- 12.5 Experimental Results and Analysis -- 12.6 Conclusion -- References.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
TA1-2040 (Browse shelf) https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=5510557 Available EBC5510557

Intro -- Contents -- 1 A Novel Level-Based DNA Security Algorithm Using DNA Codons -- 1.1 Introduction -- 1.2 Related Work -- 1.3 Proposed Algorithm -- 1.3.1 Encryption Algorithm -- 1.3.2 Decryption Algorithm -- 1.4 Algorithm Implementation -- 1.4.1 Encryption -- 1.4.2 Decryption -- 1.5 Experimental Results -- 1.5.1 Encryption Process -- 1.5.2 Decryption Process -- 1.5.3 Padding of Bits -- 1.6 Result Analysis -- 1.7 Conclusions -- References -- 2 Cognitive State Classifiers for Identifying Brain Activities -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 fMRI-EEG Analysis -- 2.2.2 Classification Algorithms -- 2.3 Results -- 2.4 Conclusion -- References -- 3 Multiple DG Placement and Sizing in Radial Distribution System Using Genetic Algorithm and Particle Swarm Optimization -- 3.1 Introduction -- 3.2 DG Technologies -- 3.2.1 Number of DG Units -- 3.2.2 Types of DG Units -- 3.3 Mathematical Analysis -- 3.3.1 Types of Loads -- 3.3.2 Load Models -- 3.3.3 Multi-objective Function (MOF) -- 3.3.4 Evaluation of Performance Indices Can Be Given by the Following Equations -- 3.4 Proposed Methods -- 3.4.1 Genetic Algorithm (GA) -- 3.4.2 Particle Swarm Optimization (PSO) -- 3.5 Results and Discussions -- 3.5.1 33-Bus Radial Distribution System -- 3.5.2 69-Bus Radial Distribution System -- 3.6 Conclusions -- References -- 4 Neighborhood Algorithm for Product Recommendation -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Existing System -- 4.4 Proposed System -- 4.5 Experiments and Results -- 4.6 Conclusion and Future Work -- References -- 5 A Quantitative Analysis of Histogram Equalization-Based Methods on Fundus Images for Diabetic Retinopathy Detection -- 5.1 Introduction -- 5.1.1 Extracting the Fundus Image From Its Background -- 5.1.2 Image Enhancement Using Histogram Equalization-Based Methods -- 5.2 Image Quality Measurement Tools (IQM)-Entropy.

5.3 Results and Discussions -- 5.4 Conclusion -- References -- 6 Nanoinformatics: Predicting Toxicity Using Computational Modeling -- 6.1 Introduction -- 6.2 Identification of Properties -- 6.2.1 Physicochemical Properties -- 6.2.2 Theoretical Chemical Descriptor -- 6.3 Computational Techniques -- 6.4 Prediction on the Basis of Live Cells -- 6.5 Experimental Analysis -- 6.6 Affirmation of the Model -- 6.7 Conclusion -- References -- 7 Stock Market Prediction Based on Machine Learning Approaches -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Conclusion -- References -- 8 Performance Analysis of Denoising of ECG Signals in Time and Frequency Domain -- 8.1 Introduction -- 8.2 Denoising -- 8.3 Denoising Filters -- 8.4 Proposed Algorithm in Time Domain -- 8.5 Denoising in Frequency Domain -- 8.6 Proposed Algorithm in Frequency Domain -- 8.7 Results and Discussion -- 8.8 Conclusion -- References -- 9 Design and Implementation of Modified Sparse K-Means Clustering Method for Gene Selection of T2DM -- 9.1 Introduction -- 9.2 Importance of Genetic Research in Human Health -- 9.3 Dataset Description -- 9.4 Implementation of Existing K-Means Clustering Algorithm -- 9.5 Implementation of Proposed Modified Sparse K-Means Clustering Algorithm -- 9.6 Results and Discussion -- 9.6.1 Cluster Error Analysis -- 9.6.2 Selection of More Appropriate Gene from Cluster Vectors -- 9.7 Conclusion -- References -- 10 Identifying Driver Potential in Passenger Genes Using Chemical Properties of Mutated and Surrounding Amino Acids -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Dataset Specification -- 10.2.2 Computational Methodology -- 10.3 Results and Discussions -- 10.3.1 Mutations in Both the Driver and Passenger Genes -- 10.3.2 Block-Specific Comparison Driver Versus Passenger Protein -- 10.4 Conclusion -- References.

11 Data Mining Efficiency and Scalability for Smarter Internet of Things -- 11.1 Introduction -- 11.2 Background Work and Literature Review -- 11.3 Experimental Methodology -- 11.4 Results and Analysis -- 11.4.1 Execution Time -- 11.4.2 Machine Learning Models -- 11.5 Conclusion -- References -- 12 FGANN: A Hybrid Approach for Medical Diagnosing -- 12.1 Introduction -- 12.2 Preprocessing -- 12.3 Genetic Algorithm-Based Feature Selection -- 12.4 Artificial Neural Network-Based Classification -- 12.5 Experimental Results and Analysis -- 12.6 Conclusion -- References.

Description based on publisher supplied metadata and other sources.

There are no comments for this item.

Log in to your account to post a comment.