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1. |
Record Nr. |
UNINA990000994050403321 |
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Autore |
Fong, Peter |
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Titolo |
Foundations of Thermodynamics / Peter Fong |
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Pubbl/distr/stampa |
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New York : Oxford University Press, 1963 |
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Disciplina |
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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. |
UNINA990006344780403321 |
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Autore |
De Sariis, Alessio |
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Titolo |
Dell'istoria del Regno di Napoli di Alesio De Sariis parte prima [-terza e quarta] ... Tomo primo [-terzo] |
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Pubbl/distr/stampa |
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Napoli, : presso Vincenzo Orsino, 1791-1792 |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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V B 234 |
FA.DCC.4 |
FA.DCC.5 |
FADCC.6 |
XXXII Ant. 156 |
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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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1.: T. I: Stato antico di queste regioni insino a che presero forma di |
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Regno 2.: T. II: Stato antico di queste regioni insino a che presero forma di Regno 3.: T. III, IV: Stato medio del Regno di Napoli governato da Vicere, e stato novissimo governato da' proprj re Borbonici |
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3. |
Record Nr. |
UNINA9910983372403321 |
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Autore |
Chinthaginjala Ravikumar |
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Titolo |
Distributed Computing and Artificial Intelligence, 21st International Conference / / edited by Ravikumar Chinthaginjala, Pawel Sitek, Nasro Min-Allah, Kenji Matsui, Sascha Ossowski, Sara Rodríguez |
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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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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (557 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1259 |
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Altri autori (Persone) |
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SitekPaweł |
Min-AllahNasro |
MatsuiKenji |
OssowskiSascha |
RodríguezSara |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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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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-- 1 Adaptive Traffic Light Control through Reinforcement Learning based on Sensor Integration. -- 2 Improvement of anomaly detection through enhanced feature extraction in TimesNet. -- 3 An Explainable AI framework for comparative analysis of the model explanations in Breast Cancer Prediction. -- 4 Enhancing Power Forecasting Through Contextual Awareness With C-Means and K-Means Approaches. -- 5 Development and Assessment of a System to Help Students Improve Self-Compassion. -- 6 Leveraging Machine Learning and Deep Learning Models for Enhanced Stock Price Prediction: A State-of-the-Art Analysis. -- 7 Type-Theory of Algorithms with Chain-Free |
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Sommario/riassunto |
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This book serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. The technical program this year is both high in quality and diverse, featuring contributions from well-established and evolving research areas. Specifically, 138 papers were submitted by authors from 43 different countries, representing a truly global network of research activity. The DCAI’24 technical program has selected 36 full papers for the main track, and as in previous editions, there will be special issues in ranked journals. This symposium is organized by the University of Salamanca (Spain). The authors would like to thank all the contributing authors, the program committee members, National Associations (AEPIA, APPIA, LASI), and the sponsors (AIR Institute). |
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