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| 020 | _a9789811651205 | ||
| 024 | 7 |
_a10.1007/978-981-16-5120-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA75.5 _b2022 EB |
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| 245 | 1 | 0 |
_aProceedings of International Conference on Data Science and Applications : _bICDSA 2021, Volume 1 _cedited by Mukesh Saraswat, Sarbani Roy, Chandreyee Chowdhury, Amir H. Gandomi |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIV, 859 páginas) _b423 ilustraciones, 324 ilustraciones a color |
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| 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 |
_aLecture Notes in Networks and Systems _x2367-3389 _v288 |
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| 505 | 0 | _aChapter 1. A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation -- Chapter 2. QoS Parameter Analysis of TCP and UDP Traffic over Open flow Enabled Software Defined Network -- Chapter 3. The Challenges of Data Analytics Implementations: A Preliminary Literature Review -- Chapter 4. In depth opinion mining and sentiment analysis of Twitter data -- Chapter 5. An Extensive Review on: Low Noise Amplifier for Millimeter and Radio Frequency Waves -- Chapter 6. UWB applications and bird eye view on high frequency LNA applications -- Chapter 7. Ocean Wave Modeling from Satellite images using Data Assimilation -- Chapter 8. Design of a Laser Projection System for Intelligent Learning Environments -- Chapter 9. Medical Image Enhancement: A Review -- Chapter 10. A Computer Vision Approach Towards Maturity Stage Classification of Tomatoes Using Second Order Wavelet Features -- Chapter 11. Vigorous deep learning models for identifying tomato leaf diseases -- Chapter 12. Automatic distres analysis using Text Mining -- Chapter 13. Prediction of student's performance in an academic using data science and machine learning -- Chapter 14. Performance Enhancement by Tuning Hyperparameters of Random Forest Classifier for Hardware Trojan Detection -- Chapter 15. Low Complexity Hybrid Beamforming Technique for Massive MIMO System. | |
| 520 | _aThis book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9139268 _aInformática _vCongresos y asambleas |
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| 650 | 7 |
_2embne _9495511 _aDatos masivos _vCongresos y asambleas |
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| 650 | 7 |
_2embne _9162648 _aData mining _vCongresos y asambleas |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811651199 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811651212 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5120-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b01/2023 _dz _eIG _zSI |
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