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_c399478 _d399478 |
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| 003 | ES-MaUEC | ||
| 005 | 20240426144100.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230429s2023 si | fo |1|| 0|eng d | ||
| 020 | _a9789819902484 | ||
| 024 | 7 |
_a10.1007/978-981-99-0248-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aR856 .A2 _b2023 EB |
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| 245 | 0 | 0 |
_aProceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics : _bICEBEHI 2022, 5-6 October, Surabaya, Indonesia _cedited by Triwiyanto Triwiyanto, Achmad Rizal, Wahyu Caesarendra |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer Nature Singapore _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aLecture Notes in Electrical Engineering _x1876-1119 _v1008 |
|
| 505 | 0 | _aA Preliminary Study of Vehicle License Plate Detection and Identification -- Feature Selection using Extra Trees Classifier for Research Productivity Framework in Indonesia -- A Survey on Big Data Analytics for Load Prediction in Smart Grids -- Analysis of Three Phase Induction Motor Speed Performance with Load Torque Changes Using Inverter Space Vector Pulse Width Modulation (SVPWM) Control -- Assessing the Effect on Cognitive Workload Index, EEG Band Ratio's, Band Frequencies Using Band Power and Implementing Machine Learning Classification -- Fetal ECG Signal Processing Using One-Dimensional Convolutional Neural Network (1-D CNN) for Fetal Arrhythmias Detection -- Diabetic Retinopathy Classification based on Fundus Image using Convolutional Neural Network (CNN) With MobilenetV2 -- Image Improvement and Dose Reduction on Computed Tommography Mastoid Using Interactive Reconstruction -- Classification of Pneumonia Based on X-Ray Images with ResNet-50 Architecture -- A Model Convolutional Neural Network for Early Detection of Chili Plant Diseases in Small Datasets -- Early Risk Pregnancy Prediction Based on Machine Learning Built on Intelligent Application using Primary Health Care Cohort Data. | |
| 520 | _aThis book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2022 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (a) Electronics, (b) Biomedical Engineering, and (c) Health Informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the fields of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development. | ||
| 988 | _aSpringer_BiomedLife_2023 | ||
| 650 | 7 |
_2embne _9143820 _aIngeniería biomédica _vCongresos y asambleas |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-0248-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b04/2024 _dz _eb _zSI |
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