Del 15 - Learning and Analytics in Intelligent Systems

Advances in Computational and Bio-Engineering

Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1

Inbunden, Engelska, 2020

AvS. Jyothi,D. M. Mamatha,Suresh Chandra Satapathy,K. Srujan Raju,Margarita N. Favorskaya

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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.

Produktinformation

Utgivningsdatum2020-07-20
Mått155 x 235 x 42 mm
Vikt1 174 g
FormatInbunden
SpråkEngelska
SerieLearning and Analytics in Intelligent Systems
Antal sidor667
FörlagSpringer Nature Switzerland AG
ISBN9783030469382

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Teknik: allmänt inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Chapter 1: Sequential Pattern Mining for U.S. presidential elections using Google Cloud Platform (GCP).- Chapter 2: An evolutionary optimization methodology for analysing breast canr gene sequens using MSAPSO and MSADE.- Chapter 3: Performing Image Compression and Decompression Using Matrix Substitution Technique.- Chapter 4: Classification of Cotton Crop Pests using Big Data Analytics.- Chapter 5: Effect Of Formulation Variables on Optimization of Gastroretentive in Situ Rafts of Bosentan Monohydrate HCL by 32 Factorial Design.- Chapter 6: Performan Analysis of Apache Spark ML lib Clustering on Batch Data Stored in Cassandra.- Chapter 7: A study on Opinion of B.Sc Nursing studentson Health Informatics and EMR to included in Nursing Education.- Chapter 8: A Comprehensive Hybrid Ensemble Method with Feature Selection Techniques.- Chapter 9: DNA based Quick Response (QR) code for Screening of Potential Parents for Evolving new Silkworm Ras ofhigh Productivity.- Chapter 10: Big Data Analysis for Land Use Classification Using Machine Learning Algorithms.