LEADER 01315nam a2200349 i 4500 001 991001003759707536 005 20020507181451.0 008 981111s1996 us ||| | eng 020 $a0821802593 035 $ab10787719-39ule_inst 035 $aLE01305584$9ExL 040 $aDip.to Matematica$beng 082 0 $a530.15 084 $aAMS 70-06 084 $aQA851.I57 100 1 $aMarsden, Jerrold E.$07790 245 10$aIntegration algorithms and classical mechanics /$cJerrold E. Marsden, George W. Patrick, William F. Shadwick, editors 260 $aProvidence, R.I. :$bAmerican Mathematical Society,$cc1996 300 $axii, 244 p. :$bill. ;$c27 cm 490 0 $aFields Institute communications,$x1069-5265 ;$v10 500 $aIncludes bibliographical references 650 4$aAnalytic mechanics 650 4$aDifferentiable dynamical systems 650 4$aInitial value problems 700 1 $aPatrick, George W. 700 1 $aShadwick, W. F. 907 $a.b10787719$b23-02-17$c28-06-02 912 $a991001003759707536 945 $aLE013 70-XX MAR11 (1996)$g1$i2013000103020$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10888007$z28-06-02 996 $aIntegration algorithms and classical mechanics$9922297 997 $aUNISALENTO 998 $ale013$b01-01-98$cm$da $e-$feng$gus $h0$i1 LEADER 05176nam 22008055 450 001 9910483313703321 005 20251113203752.0 010 $a981-15-9774-X 024 7 $a10.1007/978-981-15-9774-9 035 $a(CKB)4100000011918766 035 $a(MiAaPQ)EBC6606011 035 $a(Au-PeEL)EBL6606011 035 $a(OCoLC)1250085500 035 $a(PPN)255884826 035 $a(DE-He213)978-981-15-9774-9 035 $a(EXLCZ)994100000011918766 100 $a20210504d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEmerging Technologies in Data Mining and Information Security $eProceedings of IEMIS 2020, Volume 3 /$fedited by Joćo Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (973 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v164 311 0 $a981-15-9773-1 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Layered Ensemble Learning for Effective Binary Classi?cation -- Chapter 2. A Preliminary Study of Knowledge Graphs and their Construction -- Chapter 3. A Simple Ensemble Learning Algorithm for a Real time High Dimensional Data -- Chapter 4. Promising Highest Resilient Network using preventive Route selection algorithm- IPSDSDV in MANET -- Chapter 5. An ANN Approach of Twisted Fiestel Block Ciphering -- Chapter 6. Musical Instrument Classification Based On Machine Learning Algorithm -- Chapter 7. Analytical Survey and Comparative Analysis of Socialized Network via Data Mining and Machine Learning Techniques -- Chapter 8. Assessment of Severity Classification of Traffic Accidents on the basis of K-means Clustering and Adaptive Neuro-Fuzzy Inference System -- Chapter 9. Design and Implementation of Login Based Wi-Fi Hotspot Network for an University Campus -- Chapter 10. A Framework to Capture the Shift in Dynamics of a Multi-Phase Protest - A Case Study of Hong Kong Protests -- Chapter11. A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification -- Chapter 12. ECG Signal Denoising Using A Novel Solution To The Heat Equation Through Wavelet Transform -- Chapter 13. Design and Implementation of Chao-Cryptic Architecture on FPGA for Secure Audio Communication -- Chapter 14. Diffusion + Confusion: Chaos Assisted Two Fold Cryptosystem for Secure Video Transmission -- Chapter 15. Chaos Blend LFSR ? Duo Approach on FPGA for Medical Image Security. 330 $aThis book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security. . 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v164 606 $aComputational intelligence 606 $aData structures (Computer science) 606 $aInformation theory 606 $aArtificial intelligence 606 $aComputer networks$xSecurity measures 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aInformation storage and retrieval systems 606 $aComputational Intelligence 606 $aData Structures and Information Theory 606 $aArtificial Intelligence 606 $aMobile and Network Security 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aInformation Storage and Retrieval 615 0$aComputational intelligence. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aArtificial intelligence. 615 0$aComputer networks$xSecurity measures. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aInformation storage and retrieval systems. 615 14$aComputational Intelligence. 615 24$aData Structures and Information Theory. 615 24$aArtificial Intelligence. 615 24$aMobile and Network Security. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aInformation Storage and Retrieval. 676 $a006.3 702 $aTavares$b Joa?o Manuel R. S. 712 12$aInternational Conference on Emerging Technologies in Data Mining and Information Security$f(2020 :$eKolkata, India) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483313703321 996 $aEmerging technologies in data mining and information security$92571987 997 $aUNINA