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| 003 | ES-MaUEC | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 210901s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030772147 | ||
| 024 | 7 |
_a10.1007/978-3-030-77214-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK7871.676 _b2022 EB |
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| 245 | 0 | 0 |
_aSmart Sensor Networks : _bAnalytics, Sharing and Control _cedited by Umang Singh, Ajith Abraham, Arturas Kaklauskas, Tzung-Pei Hong |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing, _c2022 |
|
| 300 |
_a1 recurso en línea (XIII, 227 páginas) _b85 ilustraciones, 62 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aStudies in Big Data _x2197-6511 _v92 |
|
| 505 | 0 | _aAn Overview of Artificial Intelligence Technology Directed at Smart Sensors and Devices from a Modern Perspective -- The Role of Smart Sensors in Smart City -- Impact of AI and Machine Learning in Smart Sensor Networks For Health Care -- ML Algorithms for Smart Sensor Networks -- Energy efficient smart lighting system for rooms -- QUIC Protocol Based Monitoring Probes for Network Devices Monitor & Alerts -- External Threat Detection in Smart Sensor Networks using Machine Learning Approach -- Towards Smart Farming Through Machine Learning-based Automatic Irrigation Planning -- Graph Powered Machine Learning in Smart Sensor Networks. . | |
| 520 | _aThis book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9146216 _aSensores ópticos |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030772130 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030772154 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030772161 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-77214-7 _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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