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| 003 | ES-MaUEC | ||
| 005 | 20240201134341.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 211001s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811630972 | ||
| 024 | 7 |
_a10.1007/978-981-16-3097-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ334 _b2022 EB |
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| 245 | 0 | 0 |
_aProceedings of Emerging Trends and Technologies on Intelligent Systems : _bETTIS 2021 _cedited by Arti Noor, Abhijit Sen, Gaurav Trivedi |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XI, 362 páginas) _b156 ilustraciones, 116 ilustraciones a color |
||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1371 |
|
| 505 | 0 | _aApplication Layer Ddos Attack Detection And Defense Methods -- Identification and Analysis of Threat Vector for Security Evaluation of LAN -- Review of Stack-Based Binary Exploitation Techniques -- OntoBlogDis: A Knowledge Centric Ontology Driven Socially Aware Framework for Influential Blogger Discovery -- An Ontology based Semantic Approach for First Aid Prediction in Aviation Services incorporating RBFNN over a Cloud Server -- Benchmarking Analysis of CNN Architectures for Artificial Intelligence Platforms -- Welding Defect Inspection using Deep learning -- Image generation using GAN and their classification using SVM and CNN -- VDNet: Vehicle Detection Network using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System -- FCNet: Flower Classification Using Custom Made Convolution Neural Network and Transfer Learning. | |
| 520 | _aThis book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 - 5 March 2021 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _vCongresos y asambleas _9413115 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9789811630965 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811630989 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3097-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2023 _dz _eu _zSI |
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