LEADER 01652nam a2200373 i 4500 001 991000891329707536 005 20020507175333.0 008 930916s1959 us ||| | eng 020 $a082181401X 035 $ab10771864-39ule_inst 035 $aLE01303914$9ExL 040 $aDip.to Matematica$beng 082 0 $a512.2 084 $aLC QA171.F52 084 $aAMS 20-06 084 $aAMS 20D 111 2 $aFinite groups Symposium $d<1959 ;$cNew York>$0535382 245 10$aFinite groups. $b[Proceedings of a Symposium in pure mathematics of the American Mathematical Society. $cCosponsored by the Institute for Defense Analyses, under contract Nonr 2631(00) with the Office of Naval Research. Editorial Committee: A. A. Albert and Irving Kaplansky] 260 $aProvidence, R. I. :$bAmerican Mathematical Society,$cc1959 300 $avii, 110 p. :$bdiagrs. ;$c26 cm. 490 0 $aProceedings of symposia in pure mathematics,$x0082-0717 ;$v1 504 $aIncludes bibliographies. 650 0$aAbstract finite groups$xCongresses 650 0$aGroup theory$xCongresses 700 1 $aAlbert, Abraham Adrian 700 1 $aKaplansky, Irving 710 2 $aAmerican Mathematical Society 907 $a.b10771864$b23-02-17$c28-06-02 912 $a991000891329707536 945 $aLE013 20-XX ALB11 C.1 (1959)$g1$i2013000072449$lle013$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i10870325$z28-06-02 945 $aLE013 20-XX ALB11 C.2 (1959)$g2$i2013000132099$lle013$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i12099715$z20-12-02 996 $aFinite groups$9922460 997 $aUNISALENTO 998 $ale013$b01-01-93$cm$da $e-$feng$gus $h0$i1 LEADER 04507nam 22005775 450 001 9910366577303321 005 20251230064042.0 010 $a3-030-24643-4 024 7 $a10.1007/978-3-030-24643-3 035 $a(CKB)4100000008869933 035 $a(MiAaPQ)EBC5844356 035 $a(DE-He213)978-3-030-24643-3 035 $a(PPN)238490831 035 $a(EXLCZ)994100000008869933 100 $a20190731d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018) /$fedited by A. Pasumpon Pandian, Tomonobu Senjyu, Syed Mohammed Shamsul Islam, Haoxiang Wang 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (1,096 pages) $cillustrations 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v31 311 08$a3-030-24642-6 327 $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. 330 $aThis book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19?20, 2018 in Madurai, India. In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In this context, increasing the ubiquity of emerging internet applications with an enhanced capability to communicate in a distributed environment has become a major need for existing networking models and applications. To achieve this, Internet of Things [IoT] models have been developed to facilitate a smart interconnection and information exchange among modern objects ? which plays an essential role in every aspect of our lives. Due to their pervasive nature, computer networks and IoT can easily connect and engage effectively with their network users. This vast network continuously generates data from heterogeneous devices, creating a need to utilize big data, which provides new and unprecedented opportunities to process these huge volumes of data. This International Conference on Computer Networks, Big Data, and Internet of Things [ICCBI] brings together state-of-the-art research work, which briefly describes advanced IoT applications in the era of big data. As such, it offers valuable insights for researchers and scientists involved in developing next-generation, big-data-driven IoT applications to address the real-world challenges in building a smartly connected environment. . 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v31 606 $aTelecommunication 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aCommunications Engineering, Networks 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aTelecommunication. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aCommunications Engineering, Networks. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a004 676 $a004.678 702 $aPandian$b A.Pasumpon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSenjyu$b Tomonobu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIslam$b Syed Mohammed Shamsul$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Haoxiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910366577303321 996 $aProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018)$92517767 997 $aUNINA