LEADER 01343nam0 22002771i 450 001 SUN0017543 005 20110324020438.393 010 $a88-8265-238-6 100 $a20040609d2003 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆLe ‰origini della prefettura del pretorio tardoantica$fPierfrancesco Porena 210 $aRoma$cL'erma di Bretschneider$d2003 215 $a633 p., 1 c. di tav. ripieg.$d21 cm. 606 $aPrefetto del pretorio (magistratura romana)$2FI$3SUNC011870 620 $dRoma$3SUNL000360 700 1$aPorena$b, Pierfrancesco$3SUNV013489$0280963 712 $aL'erma di Bretschneider$3SUNV000353$4650 801 $aIT$bSOL$c20181109$gRICA 856 4 $uhttp://books.google.it/books?id=7jVnrk-nrVsC&printsec=frontcover&dq=origini+della+prefettura+del+pretorio+tardoantica&hl=it&ei=VEGLTaCkGcrN4gbn77yADg&sa=X&oi=book_result&ct=result&resnum=1&ved=0CCoQ6AEwAA#v=onepage&q&f=false 912 $aSUN0017543 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00 CONS XVIII.Elb.23 $e00 25832 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$h25832$kCONS XVIII.Elb.23$op$qa 996 $aOrigini della prefettura del pretorio tardoantica$9287280 997 $aUNICAMPANIA LEADER 01777nam 2200445 a 450 001 9910696931303321 005 20230902162237.0 035 $a(CKB)5470000002383581 035 $a(OCoLC)636095488 035 $a(EXLCZ)995470000002383581 100 $a20100602d2010 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvaluation of methods for delineating zones of transport for production wells in karst and fractured-rock aquifers of Minnesota$b[electronic resource] /$fby Perry M. Jones ; prepared in cooperation with the Minnesota Department of Health 210 1$aReston, Va. :$cU.S. Dept. of the Interior, U.S. Geological Survey,$d2010. 215 $a1 online resource (v, 32 pages) $cillustrations, maps 225 1 $aScientific investigations report ;$v2010-5005 300 $aTitle from title screen (viewed on June 2, 2010). 320 $aIncludes bibliographical references (pages 30-32). 410 0$aScientific investigations report ;$v2010-5005. 606 $aGroundwater$xQuality$zMinnesota 606 $aGroundwater$xPollution$zMinnesota 606 $aWater-supply$zMinnesota 606 $aWater quality$zMinnesota 615 0$aGroundwater$xQuality 615 0$aGroundwater$xPollution 615 0$aWater-supply 615 0$aWater quality 700 $aJones$b Perry M$01405792 712 02$aGeological Survey (U.S.) 712 02$aMinnesota.$bDepartment of Health. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696931303321 996 $aEvaluation of methods for delineating zones of transport for production wells in karst and fractured-rock aquifers of Minnesota$93550767 997 $aUNINA LEADER 06973nam 2200565 450 001 996464525103316 005 20220227151733.0 010 $a3-030-92273-1 024 7 $a10.1007/978-3-030-92273-3 035 $a(CKB)5100000000152615 035 $a(MiAaPQ)EBC6857544 035 $a(Au-PeEL)EBL6857544 035 $a(DE-He213)978-3-030-92273-3 035 $a(OCoLC)1289372762 035 $a(BIP)082129312 035 $a(PPN)25938495X 035 $a(EXLCZ)995100000000152615 100 $a20220227d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNeural information processing $e28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part IV. /$fTeddy Mantoro [and four others], editors 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d2021 215 $a1 online resource (718 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13111 311 $a3-030-92272-3 320 $aIncludes bibliographical references and index. 327 $aApplications -- Deep Supervised Hashing By Classification For Image Retrieval -- Towards Human-level Performance in Solving Double Dummy Bridge Problem -- Coarse-to-Fine Visual Place Recognition -- BFConv: Improving Convolutional Neural Networks with Butterfly Convolution -- Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations -- Vehicle Image Generation Going Well with the Surroundings -- Scale Invariant Domain Generalization Image Recapture Detection -- Tile2Vec with Predicting Noise for Land Cover Classification -- A Joint Representation Learning Approach for Social Media Tag Recommendation -- Identity-based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification -- Feature Fusion Learning Based on LSTM and CNN Networks for Trend Analysis of Limit Order Books -- WikiFlash: Generating Flashcards from Wikipedia Articles -- Video Face Recognition with Audio-Visual Aggregation Network -- WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform -- Manipulation-invariant Fingerprints for Cross-dataset Deepfake Detection -- Low-resource Neural Machine Translation Using Fast Meta-Learning method -- Efficient, Low-Cost, Real-Time Video Super-Resolution Network -- On the Unreasonable Effectiveness of Centroids in Image Retrieval -- Few-shot Classification with Multi-task Self-supervised Learning -- Self-Supervised Compressed Video Action Recognition via Temporal-Consistent Sampling -- Stack-VAE network for Zero-Shot Learning -- TRUFM: a Transformer-guided Framework for Fine-grained Urban Flow Inference -- Saliency Detection Framework Based on Deep Enhanced Attention Network -- SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval -- SS-CCN: Scale Self-guided Crowd Counting Network -- QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment -- An Efficient Manifold Density Estimator for All Recommendation Systems -- Cleora: A Simple, Strong and Scalable Graph Embedding Scheme -- STA3DCNN: Spatial-temporal Attention 3D Convolutional Neural Network for Citywide Crowd Flow Prediction -- Learning Pre-Grasp Pushing Manipulation of Wide and Flat Objects using Binary Masks -- Multi-DIP: A General Framework For Unsupervised Multi-degraded Image Restoration -- Multi-Attention Network for Arbitrary Style Transfer -- Image Brightness Adjustment with Unpaired Training -- Self-Supervised Image-to-Text and Text-to-Image Synthesis -- TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification -- A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages -- A Transformer-based Model for Low-resource Event Detection -- Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning -- Designing and Searching for Lightweight Monocular Depth Network -- Improving Question Answering over Knowledge Graphs Using Graph Summarization -- Multi-Stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction -- End-to-End Edge Detection via Improved Transformer Model -- Isn?t it ironic, don?t you think -- Neural Local and Global Contexts Learning for Word Sense Disambiguation -- Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification -- Paraphrase Identification with Neural Elaboration Relation Learning -- Hybrid DE-MLP-based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters -- A Mutual Information-based Disentanglement Framework for Cross-Modal Retrieval -- AGRP:A Fused Aspect-Graph Neural Network for Rating Prediction -- Classmates Enhanced Diversity-self-attention Network for Dropout Prediction in MOOCs -- A Hierarchical Graph-based Neural Network for Malware Classification -- A Visual Feature Detection Algorithm Inspired by Spatio-temporal Properties of Visual Neurons -- Knowledge Distillation Method for Surface Defect Detection -- Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image -- Multi-Perspective Interactive Model for Chinese Sentence Semantic Matching -- An Effective Implicit Multi-Interest Interaction Network for Recommendation. 330 $aThe four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications. 410 0$aLecture notes in computer science ;$v13111. 517 3 $aICONIP 2021 606 $aNeural networks (Computer science)$vCongresses 615 0$aNeural networks (Computer science) 676 $a006.32 702 $aMantoro$b Teddy$4edt 702 $aLee$b Minho$4edt 702 $aAyu$b Media Anugerah$4edt 702 $aHidayanto$b Achmad Nizar$4edt 702 $aWong$b Kok Wai$4edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464525103316 996 $aNeural Information Processing$92554499 997 $aUNISA