| 000 | 04697nam a22004695i 4500 | ||
|---|---|---|---|
| 999 |
_c381634 _d381634 |
||
| 001 | 381634 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121907.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 220730s2022 si | s |1|| 0|eng d | ||
| 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 |
||