UID:
almahu_9949272440902882
Umfang:
XXI, 719 p. 352 illus., 286 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9789811684036
Serie:
Lecture Notes on Data Engineering and Communications Technologies, 106
Inhalt:
This book is a collection of high-quality peer reviewed contributions from the academicians, researchers, practitioners, and industry professionals, accepted in the International Conference on Advances in Data Computing, Communication and Security (I3CS2021) organized by the Department of Electronics and Communication Engineering in collaboration with the Department of Computer Engineering, National Institute of Technology, Kurukshetra, India during 08-10 Sep 2021. The fast pace of advancing technologies and growing expectations of the next-generation requires that the researchers must continuously reinvent themselves through new investigations and development of the new products. The theme of this conference is devised as "Embracing Innovations" for the next-generation data computing and secure communication system.
Anmerkung:
TRACK 1: DATA COMPUTING -- Chapter 1. OntoIntAIC: An Approach for Ontology Integration Using Artificially Intelligent Cloud -- Chapter 2. Identifying the Most Frequently Used Words in Spam Mail Using Random Forest Classifier and Mutual Information Content -- Chapter 3. Comparative Analysis of Intelligent Learning Techniques for Diagnosis of Liver Tumor from CT Images -- Chapter 4. A New Model for COVID-19 Detection Using Chest X-Ray Images with Transfer Learning -- Chapter 5. Violence detection in videos using Transfer Learning and LSTM -- Chapter 6. Kernel functions for clustering of incomplete data: A comparative study -- Chapter 7. Neuroimaging (Anatomical MRI) based classification of Alzheimer's diseases and Mild Cognitive Impairment using Convolution Neural Network -- Chapter 8. Design and Implementation of Stop Words Removal Method for Punjabi Language Using Finite Automata -- Chapter 9. Arrhythmia Fibrillation for Cardiac Disease Classification using Oversampling Method for Multiple Classifiers based on Machine Learning -- Chapter 10. Unsupervised modeling of workloads as an enabler for supervised ensemble-based prediction of resource demands on a cloud -- Chapter 11. A Technique for Find Out Low Frequency Rare Words in Medical Cancer Text Document Classification -- Chapter 12. Image Based Spammer Analysis using Suitable Features Selection by Genetic Algorithm in OSNs -- Chapter 13. An Improved Firefly Algorithm Based Cluster Analysis Technique -- Chapter 14. Stock Market Analysis of Beauty Industry during COVID-19 -- Chapter 15. An OWA based feature extraction and ranking for performance evaluation of the players in cricket.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789811684029
Weitere Ausg.:
Printed edition: ISBN 9789811684043
Sprache:
Englisch
DOI:
10.1007/978-981-16-8403-6
URL:
https://doi.org/10.1007/978-981-16-8403-6
URL:
Volltext
(URL des Erstveröffentlichers)
