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020 _a9789811684036
024 7 _a10.1007/978-981-16-8403-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ325.5
_b2022 EB
245 0 0 _aAdvances in Data Computing, Communication and Security :
_bProceedings of I3CS2021
_cedited by Pankaj Verma, Chhagan Charan, Xavier Fernando, Subramaniam Ganesan
250 _aFirst edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXI, 719 páginas)
_b352 ilustraciones, 286 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4520
_v106
505 0 _aTRACK 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.
520 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9166090
_aAprendizaje automático
_vCongresos y asambleas
650 7 _2embne
_9666069
_aInformática en la nube
_vCongresos y asambleas
700 1 _aVerma, Pankaj
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCharan, Chhagan
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFernando, Xavier
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGanesan, Subramaniam
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811684029
776 0 8 _iPrinted edition:
_z9789811684043
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-8403-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_eIG
_zSI