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1. |
Record Nr. |
UNINA9910298636903321 |
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Autore |
Brigante Domenico |
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Titolo |
New composite materials : selection, design, and application / / Domenico Brigante |
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Pubbl/distr/stampa |
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Cham [Switzerland] : , : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (xvi, 179 pages) : illustrations (some color) |
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Disciplina |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Composite Materials -- Manufacturing Processes -- Choice of the Composite System -- Strengthening of Existing Structures -- Technical Standards -- Strengthening of Reinforced and Pre-Stressed Reinforced Concrete Structures -- Strengthening of Masonry Structures -- Strengthening of Steel Structures -- Characterization and Monitoring -- Application Techniques -- Examples of Application. |
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Sommario/riassunto |
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This timely volume presents a range of critical topics on the use of composite materials in civil engineering; industrial, commercial, and residential structures; and historic buildings. Structural strengthening techniques based on composite materials, including, but not limited to, fiber-reinforced polymers, fiber-reinforced glasses, steel-reinforced polymers, and steel-reinforced glasses represent a practice employed internationally and have become an important component in the restoration of buildings impacted by natural hazards and other destructive forces. New Composite Materials: Selection, Design, and Application stands as a highly relevant and diverse effort, distinct from other technical publications dealing with building issues. The book focuses extensively on characterization of techniques employed for structural restoration and examines in detail an assortment of materials such as concrete, wood, masonry, and steel. This book also: Provides engineers and architects a lucid explanation of how to easily design an innovative system of structural reinforcement with composite materials |
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Presents detail for readers to readily assess the feasibility of reinforcement applications Includes a section for construction managers written to facilitate installation of composite structural reinforcement materials with maximum efficiency and cost-benefit Features many examples of applications and construction details to help engineers and architects realize their projects Offers a comparative analysis among various international technical standards. |
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2. |
Record Nr. |
UNINA9910869168203321 |
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Autore |
Wagner Achim |
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Titolo |
Advances in Artificial Intelligence in Manufacturing : Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany / / edited by Achim Wagner, Kosmas Alexopoulos, Sotiris Makris |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (207 pages) |
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Collana |
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Lecture Notes in Mechanical Engineering, , 2195-4364 |
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Altri autori (Persone) |
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AlexopoulosKosmas |
MakrisSotiris |
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Disciplina |
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Soggetti |
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Automation |
Industrial engineering |
Production engineering |
Human-machine systems |
Industrial and Production Engineering |
Human-Machine Interfaces |
Process Engineering |
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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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Preface -- Organization -- Contents -- Artificial Intelligence at Manufacturing System Level -- An Integrated Active Learning Framework for the Deployment of Machine Learning Models for Defect Detection in Manufacturing Environments -- 1 Introduction -- 2 The |
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Problem -- 2.1 Active Learning -- 2.2 Deployment -- 2.3 Monitoring -- 2.4 Explainability -- 3 Use Cases -- 3.1 Binary Classification -- 3.2 Multiclass Classification -- 3.3 Object Detection -- 4 Results -- 4.1 Binary Classification -- 4.2 Multiclass Classification -- 4.3 Object Detection -- 4.4 MLOps -- 5 Conclusions -- 6 Aknowlegments -- References -- Complex and Big Data Handling and Monitoring Through Machine Learning Towards Digital-Twin in High Precision Manufacturing -- 1 Introduction -- 2 Brief Overview of the State-of-the-Art -- 3 Real Case Studies -- 4 Proposed Methods -- 4.1 Low-Dimensional Learning for Machine Health Condition Monitoring -- 4.2 Recurrent NNs for Multi-stream Process Pattern Prediction |
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Sommario/riassunto |
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This book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers. |
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3. |
Record Nr. |
UNIORUON00278472 |
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Autore |
KAROUZES, Giorgos |
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Titolo |
To Systema idioktesias sta omerika epe / Giorgou Karouze, Maches Karouze |
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Pubbl/distr/stampa |
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Leukosia, : Kentro Geographikon Meleton, 1983 |
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Descrizione fisica |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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OMERO - Critica e interpretazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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