| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910298987403321 |
|
|
Titolo |
Artificial Intelligence Applications and Innovations : 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014, Proceedings / / edited by Lazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2014.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XIX, 637 p. 237 illus.) |
|
|
|
|
|
|
Collana |
|
IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 436 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Artificial intelligence |
Pattern recognition systems |
Data mining |
Computer vision |
Education - Data processing |
Application software |
Artificial Intelligence |
Automated Pattern Recognition |
Data Mining and Knowledge Discovery |
Computer Vision |
Computers and Education |
Computer and Information Systems Applications |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di contenuto |
|
Learning-ensemble learning -- Social media and mobile applications of AI -- Hybrid-changing environments -- Agent (AGE) -- Classification pattern recognition -- Genetic algorithms -- Image and video processing -- Feature extraction -- Environmental AI -- Simulations and fuzzy modeling -- Data mining forecasting. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book constitutes the refereed proceedings of the 10th IFIP WG |
|
|
|
|
|
|
|
|
|
|
|
|
|
12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting. |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910674021003321 |
|
|
Autore |
Álvarez Laso José Alberto |
|
|
Titolo |
Fracture, Fatigue and Structural Integrity of Metallic Materials |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (170 p.) |
|
|
|
|
|
|
Soggetti |
|
History of engineering and technology |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
Fracture, fatigue, and other subcritical processes, such as creep crack growth or stress corrosion cracking, present numerous open issues from both scientific and industrial points of view. These phenomena are of special interest in industrial and civil metallic structures, such as pipes, vessels, machinery, aircrafts, ship hulls, and bridges, given that their failure may imply catastrophic consequences for human life, the natural environment, and/or the economy. Moreover, an adequate management of their operational life, defining suitable inspection periods, repairs, or replacements, requires their safety or unsafety conditions to be defined. The analysis of these technological challenges requires accurate comprehensive assessment tools based on solid theoretical foundations as well as structural integrity assessment |
|
|
|
|
|
|
|
|
|
|
standards or procedures incorporating such tools into industrial practice. |
|
|
|
|
|
| |