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1. |
Record Nr. |
UNINA9910887909303321 |
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Autore |
BARTOLI MARIA TERESA |
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Titolo |
Le teorie, le tecniche, i repertori figurativi nella prospettiva d'architettura tra il '400 e il '700 : Dall'acquisizione alla lettura del dato |
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Pubbl/distr/stampa |
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Florence, : Firenze University Press, 2015 |
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Descrizione fisica |
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1 electronic resource (488 p.) |
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Collana |
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Soggetti |
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Architectural structure & design |
Technical design |
Engineering graphics & technical drawing |
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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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Sommario/riassunto |
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The Modern Age perspective was born as a bridge between art and science. It made art necessary and science visible; its breeding ground was architecture, which has always involved the lovers of one and the other in synergy. The field of thought in which perspective was conceived focused on the highest topics: the universe and the earth. Starting from astronomers-geographers and topographers, perspective was built over time as a discipline and a scientific-artistic method, systematically deriving a theorem from another, in a crescendo of complexity, which has sometimes taken on acrobatic forms, not open to evidence. The perspective techniques developed over time have accompanied the figures of architecture and of the graphic arts in their changes. Nowadays, the current information technologies make it possible to study the models of this artistic field with the confidence of being able to bring to light a new story about it. This volume collects the essays of 44 researchers who, within an Italian National Project launched in 2011 and coordinated by Riccardo Migliari (from Rome), joined the call of the group in Florence, which Maria Teresa Bartoli directed, in order to illustrate their method of cultural and technical approach to the theme through a case study: be it represented by a painting or by the passages of a treatise. |
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2. |
Record Nr. |
UNISA996647969703316 |
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Autore |
Nicosia Giuseppe |
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Titolo |
Machine Learning, Optimization, and Data Science : 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22–25, 2024, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos, Renato Umeton |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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9783031824845 |
9783031824838 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (606 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15509 |
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Altri autori (Persone) |
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OjhaVarun |
GiesselbachSven |
PardalosM. Panos |
UmetonRenato |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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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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-- Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring. -- Identifying Potential Key Point of Sale Customers Using Network Centrality. -- Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. -- Predicting Multiple Sclerosis Worsening Using Stratification Based and Time Dependent Variables Extracted from Routine Visits Data. -- Predicting University Dropout Rates Using Machine Learning: UniCt case. -- Investigating on Gradient Regularization for Testing Neural Networks. -- SKIE SRL: Structured Key Information Extraction from Business Documents using Statistical Relational Learning. -- Leveraging LLM powered Systems to Accelerate Mycobacterium tuberculosis Research Step One: From Documents to the Vectorstore. -- Vegvisir: Probabilistic model (VAE) for viral T cell epitope prediction. -- Tiny Long Short Term Memory Model for Resource Constrained Prediction of Battery Cycle Life. -- Compact Artificial Neural Network Models for |
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Predicting Protein Residue RNA Base Binding. -- FWin transformer for dengue prediction under climate and ocean influence. -- ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures. -- Topological Layering of Mouse Brain Activity in Light Sheet Microscopy Datasets. -- A Constraint Based Savings Algorithm for the Traveling Salesman Problem. -- Gaussian process interpolation with conformal prediction: methods and comparative analysis. -- Using embeddings of pre trained models for cross database dysarthria detection: supervised vs. self supervised approach. -- Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes. -- Integrating Logit Space Embeddings for Reliable Out of Distribution Detection. -- A Computational Framework for Identifying Salient Moments in Motion Capture Data. -- Machine Learning for the Evaluation of the Nephrops Norvegicus Population. -- Enhancing Cluster Based Topic Models through Parametric Dimensionality Reduction with Transformer Encoders. -- Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification. -- Rapidly Computing Approximate Graph Convex Hulls via FastMap. -- Deep Gaussian mixture model for unsupervised image segmentation. -- Address Classification in E commerce Logistics Using Federated Learning. |
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Sommario/riassunto |
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The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22–25, 2024. This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024). The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. |
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