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| 020 | _a9789811904899 | ||
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_a10.1007/978-981-19-0489-9 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQ342 _b2022 EB |
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| 245 | 0 | 0 |
_aIntelligence Enabled Research : _bDoSIER 2021 _cedited by Siddhartha Bhattacharyya, Gautam Das, Sourav De |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIV, 178 páginas) _b109 ilustraciones, 47 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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_aStudies in Computational Intelligence _x1860-9503 _v1029 |
|
| 505 | 0 | _aSolving Graph Coloring Problem Using Ant Colony Optimization, Simulated Annealing And Quantum Annealing - A Comparative Study -- Computer Assisted Diagnosis and Neuroimaging of Baby Infants -- Early Prediction of Ebola Virus Using Advanced Recurrent Neural Networks -- A Three-Step Fuzzy based BERT Model for Sentiment Analysis -- Mayfly Algorithm Based PID Controller for LFC of Multi Sources Single Area Power System -- Group Key Management Techniques for Secure Load Balanced Routing Model -- Search Techniques for Data Analytics with focus on Ensemble Methods -- A Survey on Underwater Object Detection -- COVACDISER: A Machine Learning based Web Application to Recommend the Prioritization of COVID-19 Vaccination -- Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method -- A Single Qubit Quantum Perceptron for OR and XOR Logic -- Societal Gene Acceptance Index Based Crossover in GA for Traveling Salesman Problem -- The method of automated neuro-fuzzy calibration of geometrically distorted images of digital X-ray tomographs. | |
| 520 | _aThis book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12-13, 2021). 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 inspires future studies. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _vCongresos y asambleas _9413115 |
|
| 700 | 1 |
_aBhattacharyya, Siddhartha, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100498 _d1975- |
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| 700 | 1 |
_aDas, Gautam Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9680784 |
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| 700 | 1 |
_aDe, Sourav _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101763 _d1979- |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811904882 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811904905 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811904912 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-0489-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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