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_aQ335 _b2020 EB |
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_aIntelligence Enabled Research : _bDoSIER 2019 _cedited by Siddhartha Bhattacharyya, Sushmita Mitra, Paramartha Dutta. |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020. |
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_a1 recurso en línea (XVIII, 131 páginas) _b73 ilustraciones, 31 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1109 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aChapter 1. Vehicle Pollution Detection from Images using Deep Learning -- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance -- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics -- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization -- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set -- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method -- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks -- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases -- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem -- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study -- Chapter 12. Temporal Sentiment Analysis of the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools -- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency -- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification. | |
| 520 | 3 | _aThis book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies. . | |
| 988 | _aPrimersemestre_2020_Robotics | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
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| 700 | 1 |
_aBhattacharyya, Siddhartha, _d1975- _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100498 |
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| 700 | 1 |
_aMitra, Sushmita. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100055 |
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| 700 | 1 |
_aDutta, Paramartha _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100499 |
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| 773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9789811520204 |
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_iPrinted edition: _z9789811520228 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-2021-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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