UID:
almahu_9949287405302882
Umfang:
XX, 651 p. 364 illus., 287 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9789811696695
Serie:
Smart Innovation, Systems and Technologies, 282
Inhalt:
The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2021), held at Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India, during 17 - 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.
Anmerkung:
An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms -- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu -- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems -- Design and synthesis of random number generator using LFSR -- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model -- Advertisement Click Fraud Detection Using Machine Learning Algorithms -- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation -- Analysis of different methodologies for Sentiment in Hindi Language -- A dynamic model and algorithm for real time traffic management -- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management -- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System -- Pulmonary Nodule Detection using Laplacian of Gaussian and Deep Convolutional Neural Network.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789811696688
Weitere Ausg.:
Printed edition: ISBN 9789811696701
Weitere Ausg.:
Printed edition: ISBN 9789811696718
Sprache:
Englisch
DOI:
10.1007/978-981-16-9669-5
URL:
https://doi.org/10.1007/978-981-16-9669-5
URL:
Volltext
(URL des Erstveröffentlichers)
