| 000 | 04106nam a22004455i 4500 | ||
|---|---|---|---|
| 999 |
_c362457 _d362457 |
||
| 001 | 362457 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121545.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210619s2021 si | s |||| 0|eng d | ||
| 020 | _a9789811608667 | ||
| 024 | 7 |
_a10.1007/978-981-16-0866-7 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aTS176 _b2021 EB |
|
| 245 | 1 | 0 |
_aIntelligent Manufacturing and Mechatronics _bProceedings of SympoSIMM 2020 / _cedited by Muhammad Syahril Bahari, Azmi Harun, Zailani Zainal Abidin, Roshaliza Hamidon, Sakinah Zakaria. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Pulishing _c2021 |
|
| 300 |
_a1 recurso en línea (XXI, 1332 páginas) _b819 ilustraciones, 624 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aLecture Notes in Mechanical Engineering _x2195-4364 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aDiagnosis of Heart Disease Using Machine Learning Methods -- Investigation of Geomorphological features of Kerian River using Satellite Images -- Review on the Potential of a Tidal Energy Harnessing System in Malaysia -- An Experimental Study of Deep Learning Approach for Indoor Positioning System using WI-FI System -- Defect Factor Analysis using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production -- Automatic Counting of Palm Oil Tree Using Satellite Aerial Imagery -- Optimal Design of Step - Cone Pulley Problem using the Bees Algorithm -- Adapting Travelling Salesmen Problem for Realtime UAS Path Planning using Genetic Algorithm -- Predicting the Cycle Time at A Production Line Through the Development of the 3-3-1 Multilayer Perceptron Artificial Neural Networks with Formulated Momentum Rate -- Internet of Things Security: Modelling Smart Industrial Thermostat for Threat vectors and Common Vulnerabilities -- Single Channel Magnetic Induction Measurement for Meningitis Detection -- Reconstruction of Patient-Specific Cerebral Aneurysm Model through Image Segmentation -- Obstacle Avoiding 4-Legged Mobile Robot using 4-Bar Mechanism -- Improving the Infant-Wrap (InfaWrap) Device for Neonates using MyI-Wrap -- Research Objective in Assembly Line Balancing Problem: A Short Review. | |
| 520 | 3 | _aThis book presents the proceedings of SympoSIMM 2020, the 3rd edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on "Strengthening Innovations Towards Industry 4.0", the book presents studies on the details of Industry 4.0's current trends. Divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, artificial intelligence, instrumentation and controls, intelligent manufacturing, modelling and simulation, and robotics, the book will be a valuable resource for readers wishing to embrace the new era of Industry 4.0. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _9496877 _aMecatrónica |
|
| 700 |
_aBahari, Muhammad Syahril _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682626 |
||
| 700 |
_aHarun, Azmi _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682627 |
||
| 700 |
_aZainal Abidin, Zailani _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682628 |
||
| 700 |
_aHamidon, Roshaliza _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682629 |
||
| 700 |
_aZakaria, Sakinah _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682630 |
||
| 776 | 0 | 8 |
_iPrinted edition: _z9789811608650 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811608674 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0866-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||