International Conference on Intelligent and Smart Computing in Data Analytics

Name: International Conference on Intelligent and Smart Computing in Data Analytics
Author: Siddhartha Bhattacharyya

ISCDA 2020

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Paperback, blz. | Engels

Springer Nature Singapore | e druk, 2021

ISBN13: 9789813361751

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Springer Nature Singapore e druk, 2021 9789813361751

Onderdeel van serie Advances in Intelligent Systems and Computing

Verwachte levertijd ongeveer 9 werkdagen

180,99

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This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

Specificaties

ISBN13:9789813361751

Taal:Engels

Bindwijze:paperback

Uitgever:Springer Nature Singapore

Serie:Advances in Intelligent Systems and Computing

Inhoudsopgave

<p>Performance Analysis of Machine Learning Algorithms over a Network Traffic.- Parkinson’s Disease Prediction Using Swarm Intelligence.- An Evolutionary based Additive Tree for Enhanced Disease Prediction.- Novel Defense Frame work for Cross Layer Attacks in Cognitive Radio Networks.- Texture Based Image Retrieval Using GLCM and LBP.- Design and Development of Bayesian Optimization Algorithms for Big data Classification Using Map Reduce Framework.- An IoT Based BLYNK Server Application for Infant Monitoring Alert System to Detect Crying and Wetness of a Baby.- Analysis of DEAP Dataset for Emotion Recognition.- A Machine Learning Approach for Air Pollution Analysis.- Facial Expression Detection Model of Seven Expression Types Using Hybrid Feature Selection and Deep CNN.- Naive Bayes Approach for Retrieval of Video Object Using Trajectories.- An Extensive Survey on IOT Protocols and Applications.</p><p></p>

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International Conference on Intelligent and Smart Computing in Data Analytics

ISCDA 2020

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