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| 003 | ES-MaUEC | ||
| 005 | 20230110120109.0 | ||
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| 008 | 210828s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811630712 | ||
| 024 | 7 |
_a10.1007/978-981-16-3071-2 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aInternational Conference on Innovative Computing and Communications _bProceedings of ICICC 2021, Volume 3 _cedited by Ashish Khanna, Deepak Gupta, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal. |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXXII, 893 páginas) _b389 ilustraciones, 285 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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_aarchivo de texto _bPDF |
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_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1394 |
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| 505 | 0 | _aChapter 1. Explanation Based Serendipitous Recommender System (EBSRS) -- Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease -- Chapter 3. Campus Placement Prediction System using Deep Neural Networks -- Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model -- Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm -- Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT -- Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System -- Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review -- Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition -- Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores -- Chapter 11. Sanskrit Stemmer Design : A Literature Perspective -- Chapter 12. Predicting Prior Academic Failure of Students' using Machine Learning Approach -- Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach -- Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model -- Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD) -- Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems -- Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks -- Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence -- Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques -- Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm -- Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks -- Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python. | |
| 520 | _aThis book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20-21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. | ||
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_iPrinted edition: _z9789811630705 |
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_iPrinted edition: _z9789811630729 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3071-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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| 988 | _aSpringer_Robotics_2022 | ||
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