000			03390nam a22004575i 4500
999			_c381571 _d381571
001			381571
003			ES-MaUEC
005			20230102121904.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			220702s2022 sz | s |||| 0|eng d
020			_a9783030993290
024	7		_a10.1007/978-3-030-99329-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2022 EB
245	0	0	_aNew Trends and Applications in Internet of Things (IoT) and Big Data Analytics _cedited by Rohit Sharma, Dilip Sharma
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 271 páginas) _b110 ilustraciones, 88 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v221
505	0		_aPQD Analysis in Smart Grid System Using Attention-based Neural Network -- Internet of Things Waste Detection and Classification using Optimal Deep Learning Model -- A Smart Record System for Driver Accidental Using Blockchain.
520			_aThis book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle-and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.
988			_aSpringer_Robotics_2022
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9495511 _aDatos masivos
700	1		_aSharma, Rohit _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682548 _c(Assistant professor of electronics)
700	1		_aSharma, Dilip _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030993283
776	0	8	_iPrinted edition: _z9783030993306
776	0	8	_iPrinted edition: _z9783030993313
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-99329-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _eIG _zSI