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020			_a9789811598739
024	7		_a10.1007/978-981-15-9873-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2021 EB
245	1	0	_aData Driven Approach Towards Disruptive Technologies : _bProceedings of MIDAS 2020 _cedited by T P Singh, Ravi Tomar, Tanupriya Choudhury, Thinagaran Perumal, Hussain Falih Mahdi.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XI, 597 páginas) _b295 ilustraciones, 182 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Autonomic Data-driven and Industrial Computing _x2730-6437
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. Design and Fabrication of Hybrid Land-Air Vehicle -- Chapter 2. Pixel Value Differencing of Image Steganography in Substitution Technique : A Survey -- Chapter 3. Newspaper Text Recognition Printed in Gurumukhi Script: SVM vs. MLP -- Chapter 4. Bound Constructive Fraud and Implementing Dual Accessibility Approach on Biometric Credit/Debit Cards -- Chapter 5. Automatic dimension detection of fish images -- Chapter 6. Privacy-Preserving of Cloud Storage Security -- Chapter 7. Mitigating Security Challenges in Smart Home Management Through Smart Lock -- Chapter 7. Quality efficiency of VoIP application using Hybrid Co-ordination Function -- Chapter 8. A Review of Algorithms for Secure Data Transmission in IoT Devices -- Chapter 9. The new phase of manufacturing: industry 4.0 -- Chapter 10. Summarization and Analysis of text using Network Theory.
520	3		_aThis book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700			_aSingh, T P _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681685
700			_aTomar, Ravi _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681686
700			_aChoudhury, Tanupriya _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681688
700	1		_aPerumal, Thinagaran _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9680530
700			_aMahdi, Hussain Falih _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681690
776	0	8	_iPrinted edition: _z9789811598722
776	0	8	_iPrinted edition: _z9789811598746
776	0	8	_iPrinted edition: _z9789811598753
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-9873-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE