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020 _a9783030246433
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024 7 _a10.1007/978-3-030-24643-3
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050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
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072 7 _aTJK
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082 0 4 _a621.382
_223
245 1 0 _aProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018)
_h[electronic resource] /
_cedited by A.Pasumpon Pandian, Tomonobu Senjyu, Syed Mohammed Shamsul Islam, Haoxiang Wang.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXII, 1078 p. 506 illus., 317 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v31
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 0 _aTelecommunication.
_910437
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aPandian, A.Pasumpon.
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700 1 _aSenjyu, Tomonobu.
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700 1 _aIslam, Syed Mohammed Shamsul.
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_944078
700 1 _aWang, Haoxiang.
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710 2 _aSpringerLink (Online service)
_944080
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030246426
776 0 8 _iPrinted edition:
_z9783030246440
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v31
_944081
856 4 0 _uhttps://doi.org/10.1007/978-3-030-24643-3
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