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1. |
Record Nr. |
UNISA990000067620203316 |
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Autore |
D'ARIES, Ciro |
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Titolo |
Il controllo di gestione negli enti locali : aspetti logici, organizzativi e operativi / Ciro D'Aries ; prefazione di Adriano Propersi |
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Pubbl/distr/stampa |
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Milano : Il sole 24 ore, 2000 |
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ISBN |
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Descrizione fisica |
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Collana |
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Disciplina |
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Soggetti |
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Enti locali - Gestione - Controllo |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910734874903321 |
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Autore |
Fred Ana |
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Titolo |
Deep Learning Theory and Applications : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (130 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1858 |
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Altri autori (Persone) |
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SansoneCarlo |
GusikhinOleg |
MadaniKurosh |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer systems |
Computer networks |
Computer science - Mathematics |
Artificial Intelligence |
Computer System Implementation |
Computer Communication Networks |
Mathematics of Computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. |
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Sommario/riassunto |
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This book constitutes the refereed post-conference proceedings of the |
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Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022. The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. |
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