LEADER 01251nam0 22003011i 450 001 SUN0007592 005 20050819120000.0 010 $a88-217-1255-9 020 $aIT$b2000 3806 100 $a20020826d1999 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aConvenzioni internazionali contro le doppie imposizioni$fPiergiorgio Valente$gcon la collaborazione del Centro studi Ernst & Young 210 $a[Milanofiori, Assago]$cIpsoa$d[1999] 215 $aXIV, 869 p.$d25 cm. 606 $aDoppia imposizione$xConvenzioni internazionali$2FI$3SUNC004529 620 $dMilanofiori, Assago$3SUNL000012 676 $a341.4844$v21 700 1$aValente$b, Piergiorgio$3SUNV006288$0267528 712 02$aCentro studi Ernst & Young$3SUNV006289 712 $aIPSOA$3SUNV000032$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0007592 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00 CONS XIX.Ei.1 $e00 17667 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$h17667$kCONS XIX.Ei.1$op$qa 996 $aConvenzioni internazionali contro le doppie imposizioni$9191977 997 $aUNICAMPANIA LEADER 04423nam 22007335 450 001 9910869172803321 005 20240912152758.0 010 $a9783031631108 010 $a3031631102 024 7 $a10.1007/978-3-031-63110-8 035 $a(MiAaPQ)EBC31505998 035 $a(Au-PeEL)EBL31505998 035 $a(CKB)32575084900041 035 $a(DE-He213)978-3-031-63110-8 035 $a(OCoLC)1443539275 035 $a(EXLCZ)9932575084900041 100 $a20240628d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResearch in Computer Science $e6th Conference, CRI 2023, Yaounde, Cameroon, December 12?13, 2023, Proceedings /$fedited by Paulin Melatagia Yonta, Kamel Barkaoui, René Ndoundam, Omer-Blaise Yenke 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (202 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2085 311 08$a9783031631092 311 08$a3031631099 327 $a -- Convolutional neural network based detection approach of undesirable SMS (Short Message Service) in the Cameroonian context. -- Time aware implicit social influence estimation to enhance recommender systems performances. -- Analysis of COVID-19 coughs: From the mildest to the most severe form, a realistic classification using deep learning. -- SLCDeepETC : An On-Demand Analysis Ready Data pipeline on Sentinel-1 Single Look Complex for Deep Learning. -- Robusness of image classification on imbalanced datasets using capsules networks. -- Application of the multilingual acoustic representation model XLSR-53 for the transcription of Ewondo. -- Self-supervised and multilingual learning applied to the Wolof, Swahili and Fongbe. -- Explaining Meta-learner?s Predictions: case of corporate CO2 emissions. -- Building and validating an ontology for public procurement : The case of Cameroon. -- A Hybrid Algorithm Based on Tabu Search and K-means for Solving The Traveling Salesman Problem. -- Hybridization Of A Recurrent Neural Network By Quadratic Programming For Combinatory Optimization. -- A New Hybrid Algorithm Based on Ant Colony and Neural Networks with Attention Mechanism for Solving the Traveling Salesman Problem. -- Recurrent Neural Network Parallelization for Hate Messages Detection. -- Two high capacity text steganography schemes based on color coding. -- Integration of the triple block data security model based on distributed crypto-steganography in a distributed system. 330 $aThis book constitutes the refereed proceedings of the 6th Conference on Research in Computer Science, CRI 2023, held in Yaounde, Cameroon, during December 12-13, 2023. The 16 full papers included in this book were carefully reviewed and selected from 72 submissions. The CRI 2023 proceedings focus on artificial intelligence, machine learning, natural language processing, computer vision, cryptography and distributed computing. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2085 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aImage processing 606 $aSoftware engineering 606 $aComputer networks$xSecurity measures 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 606 $aImage Processing 606 $aSoftware Engineering 606 $aMobile and Network Security 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 0$aImage processing. 615 0$aSoftware engineering. 615 0$aComputer networks$xSecurity measures. 615 14$aMachine Learning. 615 24$aNatural Language Processing (NLP). 615 24$aImage Processing. 615 24$aSoftware Engineering. 615 24$aMobile and Network Security. 676 $a006.31 700 $aMelatagia Yonta$b Paulin$01743567 701 $aBarkaoui$b Kamel$01743568 701 $aNdoundam$b René$01743569 701 $aYenke$b Omer-Blaise$01743570 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910869172803321 996 $aResearch in Computer Science$94171725 997 $aUNINA