000			02797nam a22003735i 4500
001			395200
003			ES-MaUEC
005			20230110120131.0
007			cr nn 008mamaa
008			210727s2022 sz | s |||| 0|eng d
020			_a9783030747619
024	7		_a10.1007/978-3-030-74761-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aRA644.C67 _b2022 EB
245	1	0	_aUnderstanding COVID-19: The Role of Computational Intelligence _cedited by Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham.
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 569 páginas) _b234 ilustraciones, 173 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v963
505	0		_aCOVID-19 Pandemic: Theory, Concepts and Challenges -- SARS-CoV-2 Infection and Antibody-Dependent Enhancement -- Application of Deep Learning Techniques for COVID-19 Management -- Geographic spread and control of 2019-nCoV in the absence of vaccine -- An integrated GIS/GPS based e-Governance approach for different agencies to fight againstCOVID-19 -- Deep Learning for COVID-19. .
520			_aThis book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers. .
776	0	8	_iPrinted edition: _z9783030747602
776	0	8	_iPrinted edition: _z9783030747626
776	0	8	_iPrinted edition: _z9783030747633
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-74761-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c395200 _d395200