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_c394959 _d394959 |
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| 003 | ES-MaUEC | ||
| 005 | 20240111050231.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210823s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030766535 | ||
| 024 | 7 |
_a10.1007/978-3-030-76653-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ335 _b2022 EB |
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| 245 | 0 | 2 |
_aA Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems _cedited by Pardeep Kumar, Ahmed Jabbar Obaid, Korhan Cengiz, Ashish Khanna, Valentina Emilia Balas. |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing, _c2022 |
|
| 300 |
_a1 recurso en línea (XVI, 461 páginas) _b219 ilustraciones, 143 ilustraciones a color |
||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aIntelligent Systems Reference Library _x1868-4408 _v210 |
|
| 505 | 0 | _aIoT for better Mobile Health Applications -- Energy Efficient hybrid IoT System for ambient Living: Smart Geyser -- Analysis of Agriculture Production and Impacts of Climate Change in South Asian Region: A Concern related with Healthcare 4.0 Using ML and Sensors -- Block Chain Application in Automobile Registration: A novel Approach for Sustainable Smart Cities with Industry 4.0 -- Nonparametric Test for Change-Point Detection of IoT Time-Series Data. . | |
| 520 | _aThis book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030766528 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030766542 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030766559 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76653-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2023 _dz _eh _zSI |
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