| 000 | 04513nam a22004935i 4500 | ||
|---|---|---|---|
| 999 |
_c334825 _d334825 _x1 |
||
| 001 | 334825 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114752.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 210205s2021 si | s |||| 0|eng d | ||
| 020 | _a9789811604195 | ||
| 024 | 7 |
_a10.1007/978-981-16-0419-5 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ325.5 _b2021 EB |
|
| 245 | 0 | 0 |
_aMachine Learning and Metaheuristics Algorithms, and Applications : _bSecond Symposium, SoMMA 2020, Chennai, India, October 14-17, 2020, Revised Selected Papers _cedited by Sabu M Thampi, Selwyn Piramuthu, Kuan-Ching Li, Stefano Berretti, Michal Wozniak, Dhananjay Singh |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2021 |
|
| 300 |
_a1 recurso en línea (X, 247 páginas) _b23 ilustraciones |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0929 _v1366 |
|
| 505 | 0 | _aLearning 3DMM Deformation Coefficients for Action Unit Detection -- Smart Security and Surveillance System in Laboratories Using Machine Learning -- Deep Neural Networks with Multi-Class SVM for Recognition of Cross-Spectral Iris Images -- Gaze Fusion-Deep Neural Network Model for Glaucoma Detection -- Emotion Recognition from Facial Expressions Using Siamese Network -- Activity Modeling of Individuals in Domestic Households Using Fuzzy Logic -- Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models -- An Improved Salp Swarm Algorithm Based on Adaptive β-Hill Climbing for Stock Market Prediction -- Data Driven Methods for Finding Pattern Anomalies in Food Safety -- Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-Optimization Algorithm -- Big Data: Does BIG Matter for Your Business? -- Modelling Energy Consumption of Domestic Households via Supervised and Unsupervised Learning: A Case Study -- Machine Learning and Soft Computing Techniques for Combustion System Diagnostics and Monitoring: A Survey -- Traffic Sign Classification Using ODENet -- Analysis of UNSW-NB15 Dataset Using Machine Learning Classifiers -- Concept Drift Detection in Phishing Using Autoencoders -- Detection of Obfuscated Mobile Malware with Machine Learning and Deep Learning Models -- CybSecMLC: A Comparative Analysis on Cyber Security Intrusion Detection Using Machine Learning Classifiers. | |
| 520 | 3 | _aThis book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aAprendizaje automático _9166090 |
|
| 650 | 7 |
_2embne _9467159 _aProgramación metaheurística |
|
| 700 | 1 |
_aThampi, Sabu M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPiramuthu, Selwyn _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLi, Kuan-Ching _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aBerretti, Stefano _eeditor literario _0(orcid)0000-0003-1219-4386 _1https://orcid.org/0000-0003-1219-4386 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aWozniak, Michal _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSingh, Dhananjay _eeditor literario _0(orcid)0000-0003-3822-9348 _1https://orcid.org/0000-0003-3822-9348 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811604188 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811604201 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0419-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b06/2021 _dz _eIG _zSI |
||