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| 001 | 111593 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113519.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190511s2019 gw a o |||| 0|eng d | ||
| 020 |
_a9783030198619 _9 |
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| 024 | 7 |
_a10.1007/978-3-030-19861-9 _2doi |
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| 040 |
_bspa _aES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aQA75.5 _b2019 EB |
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| 245 | 0 | 0 |
_aRecent Advances in Information and Communication Technology 2019 : _bProceedings of the 15th International Conference on Computing and Information Technology (IC2IT 2019) _cedited by Pongsarun Boonyopakorn, Phayung Meesad, Sunantha Sodsee, Herwig Unger. |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019. |
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| 300 |
_a1 recurso en línea (XI, 270 páginas) _b142 ilustraciones,98 ilustraciones a color |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aAdvances in Intelligent Systems and Computing _x2194-5357 _v936 |
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| 505 | 0 | _aChapter 1: Dual Increment Shapelets: A Scalable Shapelet Discovery for Time Series Classification -- Chapter 2: Analyzing and visualizing anomalies and events in time series of network traffic -- Chapter 3: The Grid-Based Spatial ARIMA Model: An Innovation for Short-Term Prediction of Ocean Current Patterns with Big HF Radar Data -- Chapter 4: Parameter-Free Outlier Scoring Algorithm Using the Acute Angle Order Difference Distance -- Chapter 5: Improved Weighted Least Square Radiometric Calibration Based Noise and Outlier Rejection by Adjacent Comparagraph and Brightness Transfer Function -- Chapter 6: Fuzzy TF-IDF Weighting in Synonym for Diabetes Question and Answers -- Chapter 7: Feature Comparison for Automatic Bug Report Classification -- Chapter 8: Instance-based Learning for Blood Vessel Segmentation in Retinal Images -- Chapter 9: Secure Electronic Health Records using Combinational Approaches -- Chapter 10: Hiding Patient Injury Information in Medical Images with QR Code. | |
| 520 | 3 | _aThis book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Thosedevelopments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems. | |
| 650 | 7 |
_aInformática _xCongresos y asambleas _2embne |
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| 700 | 1 |
_aBoonyopakorn, Pongsarun _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMeesad, Phayung _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _999730 |
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| 700 | 1 |
_aSodsee, Sunantha _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aUnger, Herwig _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _999732 |
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| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030198602 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030198626 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-19861-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 942 |
_2lcc _cLE |
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| 988 | _aPrimersemestre_2019_Robotics | ||
| 998 |
_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0 |
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| 999 |
_c111593 _d111593 _x1 |
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