| 000 | 03205nam a22004095i 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Engineering_2020 | ||
| 999 |
_c116873 _d116873 _x1 |
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| 001 | 116873 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040249.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190703s2020 si | s |||| 0|eng d | ||
| 020 | _a9789811395390 | ||
| 024 | 7 |
_a10.1007/978-981-13-9539-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTS176 _b2020 EB |
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| 245 | 0 | 0 |
_aIntelligent Manufacturing and Mechatronics : _bProceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics - SympoSIMM 2019, 8 July 2019, Melaka, Malaysia _cedited by Zamberi Jamaludin, Mohd Najib Ali Mokhtar. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore _c2020. |
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| 300 |
_a1 recurso en línea (XVII, 601 páginas) _b403 ilustraciones, 319 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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| 490 | 0 |
_aLecture Notes in Mechanical Engineering _x2195-4356 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aNiblack Algorithm Modification Using Maximum-Minimum (Max-Min) Intensity Approaches on Low Contrast Document Images -- Predicting Outcomes in Patients with Traumatic Brain Injury Using Machine Learning Models -- Blood Vessel Detection Monitoring System and Mobile Notification for Diabetic Retinopathy Diagnosis -- Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter -- Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer Path Tracking Simulation of the Buggy Car by using Fuzzy Information of the Steering Wheel -- The Classification of Skateboaording Trick Manoeuvres Through the Integration of IMU and Machine Learning -- Predicting Serious Injuries due to Road Traffic Accidents in Malaysia by means of Artificial Neural Network. | |
| 520 | _aThis book presents the proceedings of SympoSIMM 2019, the 2nd 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 is a valuable resource for readers wishing to embrace the new era of Industry 4.0. | ||
| 650 | 7 |
_2embne _aProcesos de fabricación _9163432 |
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| 700 | 1 |
_aJamaludin, Zamberi _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aAli Mokhtar, Mohd Najib _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811395383 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811395406 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-9539-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eIG _zSI |
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