LEADER 02122 am 22006133u 450 001 9910156503503321 005 20230422032027.0 010 $a90-04-28699-3 024 7 $a10.1163/9789004286993 035 $a(CKB)2670000000575432 035 $a(SSID)ssj0001489284 035 $a(PQKBManifestationID)16478844 035 $a(PQKBTitleCode)TC0001489284 035 $a(PQKBWorkID)11453393 035 $a(PQKB)11231054 035 $a(OCoLC)646903294 035 $a(OCoLC)1305608 035 $a(nllekb)BRILL9789004286993 035 $a(WaSeSS)IndRDA00124334 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/31017 035 $a(PPN)184918588 035 $a(EXLCZ)992670000000575432 100 $a20200613d1974 uy 0 101 0 $adut 135 $aurmn#nnn||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aDe eerste Moslimse vorstendommen op Java $estudie?n over de staatkundige geschiedenis van de 15de en 16de eeuw /$fdoor H. J. de Graaf en Th. G. Th. Pigeaud 210 $cBrill$d1974 210 1$aLeiden, Netherlands :$cMartinus Nijhoff,$d1974. 215 $a1 online resource (xiii, 318 pages) 225 1 $aVerhandelingen van het Koninklijk Instituut voor Taal-, Land- en Volkenkunde ;$v69 311 $a90-247-1636-5 320 $aIncludes bibliographical references. 330 $aIndonesia 410 0$aVerhandelingen van het Koninklijk Instituut voor Taal-, Land- en Volkenkunde ;$v69. 606 $aMuslims$zIndonesia$zJava 606 $aMuslims$2fast$3(OCoLC)fst01031029 607 $aJava (Indonesia)$xHistory 607 $aIndonesia$zJava$2fast 610 $aindonesia 615 0$aMuslims 615 7$aMuslims. 676 $a959.82 700 $aGraaf$b Hermanus Johannes de$f1899-1984,$0599599 702 $aPigeaud$b Theodore G. Th$g(Theodore Gauthier Th.),$f1899- 801 0$bWaSeSS 801 1$bWaSeSS 801 2$bUkMaJRU 906 $aBOOK 912 $a9910156503503321 996 $aDe eerste Moslimse vorstendommen op Java$92263772 997 $aUNINA LEADER 04455nam 22006975 450 001 9910483958503321 005 20251113204459.0 010 $a3-030-46943-3 024 7 $a10.1007/978-3-030-46943-6 035 $a(CKB)4100000011343241 035 $a(DE-He213)978-3-030-46943-6 035 $a(MiAaPQ)EBC6268625 035 $a(PPN)269144889 035 $a(MiAaPQ)EBC6264958 035 $a(MiAaPQ)EBC29176649 035 $a(EXLCZ)994100000011343241 100 $a20200706d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational and Bio-Engineering $eProceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2 /$fedited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 506 p. 224 illus., 162 illus. in color.) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v16 311 08$a3-030-46942-5 327 $aChapter 1: Cloud Computing: A Study On Type of Data Stored in a Cloud and Its Security Mechanisms -- Chapter 2: Smart bag using electromagnetic zipping -- Chapter 3: Analysis on Various Feature Extraction Methods for Medical Image Classification -- Chapter 4: Prediction of Pest Generations based on Future Climate using Big Data Mining -- Chapter 5: Optimizing TCP Congestion Control Techniques for Wireless Sensor Network Architectures -- Chapter 6: Comparative In-silico studies for theolecular basis of lepidopteran insect pestsBio-control using insect?s own enzymes -- Chapter 7: Collaborative Cloud Computing for Resour Sharing Platform in Multiple Clouds -- Chapter 8: Deep Learning of Paradigms: The Outlook -- Chapter 9: Applications of Network Analysis in Bioinformatics -- Chapter 10: Identification of Clinical Variants Present inSkin Melanoma Using Exome Sequencing Data. 330 $aThis book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v16 606 $aBiomathematics 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aEngineering mathematics 606 $aMathematical and Computational Biology 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aEngineering Mathematics 615 0$aBiomathematics. 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aEngineering mathematics. 615 14$aMathematical and Computational Biology. 615 24$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aEngineering Mathematics. 676 $a004 676 $a004 702 $aJyothi$b S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMamatha$b D. M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSatapathy$b Suresh Chandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRaju$b K. Srujan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFavorskaya$b Margarita N$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483958503321 996 $aAdvances in Computational and Bio-Engineering$92084628 997 $aUNINA