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1. |
Record Nr. |
UNINA990003870800403321 |
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Autore |
Florio, Massimo |
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Titolo |
On Cross-Country Comparability of Government Statistics : OECD National Accounts 1960-94 / Massimo Florio |
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Collana |
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Working paper series / Dipartimento di economia politica e aziendale. Università degli studi di Milano ; 97.06 |
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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. |
UNINA9910164727103321 |
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Titolo |
Determination of the in Situ Modulus of Deformation of Rock |
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Pubbl/distr/stampa |
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[Place of publication not identified], : American Society for Testing & Materials, 1970 |
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ISBN |
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Descrizione fisica |
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1 online resource (198 pages) : illustrations |
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Collana |
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ASTM special technical publication ; ; 477 |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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3. |
Record Nr. |
UNINA9911057020803321 |
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Autore |
García Márquez Fausto Pedro |
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Titolo |
Advanced Engineering, Technology and Applications on Power Systems : Selected papers from ICAETA25 / / edited by Fausto Pedro Garcia Márquez, Akhtar Jamil, Alaa Ali Hameed, Haixin Wang, Yuxian Zhang, Junyou Yang |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (1002 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1764 |
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Disciplina |
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Soggetti |
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Electrical engineering |
Power electronics |
Electrical and Electronic Engineering |
Power Electronics |
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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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This book presents the proceedings of the 4th International Conference on Advanced Engineering, Technology, and Applications in Power Systems (ICAETA25), held at Shenyang University of Technology, Liaoning, China, from July 31 to August 1, 2025. It features cutting-edge research and practical innovations addressing real-world challenges in power systems, with a strong emphasis on the latest developments in artificial intelligence, machine learning, big data, cloud computing, the Internet of Things, and sensor technologies. Readers will find state-of-the-art models, benchmark datasets, and insightful analyses that bridge theoretical advancements with applied engineering solutions, offering a comprehensive view of how intelligent technologies are transforming the power sector and related domains. |
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