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020 _a9783030246433
024 7 _a10.1007/978-3-030-24643-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5105.5
_b2020 EB
245 0 0 _aProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018)
_cedited by A.Pasumpon Pandian, Tomonobu Senjyu, Syed Mohammed Shamsul Islam, Haoxiang Wang.
250 _a1st ed. 2020.
264 1 _aCham
_bSpringer International Publishing
_c2020.
300 _a1 recurso en línea (XXII, 1078 páginas)
_b506 ilustraciones, 317 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4512
_v31
490 0 _aEngineering (Springer-11647)
505 0 _aComprehensive Survey on Detection of Living or Dead Humans and Animals Using Different Approaches -- Biometric Passport Security Using Encrypted Biometric Data Encoded in the HCC2D Code -- Brain tumour Identification through MRI Images Using Convolution Neural Networks -- Contagious Diseases Prediction in Healthcare over Big Data -- Recognition of Characters in a Securely Transmitted Medical Image -- Efficiency Improvement in Code Emulation by Soft Computing Technique -- Energy Aware Routing Applications for Internet of Things -- Ameliorated Domain Adaptation Using Adaptive Classification Algorithm -- Biometric Image Processing Recognition in Retinal Eye using Machine Learning Technique.
520 _aThis book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19-20, 2018 in Madurai, India. In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In this context, increasing the ubiquity of emerging internet applications with an enhanced capability to communicate in a distributed environment has become a major need for existing networking models and applications. To achieve this, Internet of Things [IoT] models have been developed to facilitate a smart interconnection and information exchange among modern objects - which plays an essential role in every aspect of our lives. Due to their pervasive nature, computer networks and IoT can easily connect and engage effectively with their network users. This vast network continuously generates data from heterogeneous devices, creating a need to utilize big data, which provides new and unprecedented opportunities to process these huge volumes of data. This International Conference on Computer Networks, Big Data, and Internet of Things [ICCBI] brings together state-of-the-art research work, which briefly describes advanced IoT applications in the era of big data. As such, it offers valuable insights for researchers and scientists involved in developing next-generation, big-data-driven IoT applications to address the real-world challenges in building a smartly connected environment. .
650 7 _2embne
_aRedes informáticas
_9141354
700 1 _aPandian, A.Pasumpon
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSenjyu, Tomonobu
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aIslam, Syed Mohammed Shamsul
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Haoxiang
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030246426
776 0 8 _iPrinted edition:
_z9783030246440
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-24643-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
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_h0
_b01/2020
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