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1. |
Record Nr. |
UNINA9910463157203321 |
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Autore |
Maddaloni Pasquale |
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Titolo |
Laser-based measurements for time and frequency domain applications : a handbook / / Pasquale Maddaloni, Marco Bellini, Paolo De Natale |
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Pubbl/distr/stampa |
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Boca Raton, Fla : , : Taylor & Francis, , 2012 |
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ISBN |
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0-429-15118-7 |
1-4398-4153-5 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (730 p.) |
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Collana |
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Series in optics and optoelectronics |
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Altri autori (Persone) |
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BelliniMarco <1967-> |
De NatalePaolo |
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Disciplina |
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Soggetti |
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Time measurements |
Frequencies of oscillating systems - Measurement |
Lasers - Scientific applications |
Optical measurements |
Spectrum analysis |
Atmosphere - Laser observations |
Electronic books. |
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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. |
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Nota di contenuto |
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Front Cover; Dedication; Contents; Foreword; Preface; Authors; Chapter 1 Shedding light on the art of timekeeping; Chapter 2 Characterization and control of harmonic oscillators; Chapter 3 Passive resonators; Chapter 4 Continuous-wave coherent radiation sources; Chapter 5 High-resolution spectroscopic frequency measurements; Chapter 6 Time and frequency measurements with pulsed lasersystems; Chapter 7 Frequency standards; Chapter 8 Future trends in fundamental physics and applications; Bibliography; Color Insert; Back Cover |
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Sommario/riassunto |
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Providing a self-contained introductory review of modern laser-based time and frequency measurement techniques, this text represents an interdisciplinary look at the recent developments and future directions of optical frequency meteorology, as well as a range of meteorological disciplines. Suitable for graduate students and practicing physicists and engineers, it discusses the most advanced laser-based spectroscopic |
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measurement techniques, including UV, j1W, visible frequency, and IR laser. The authors, leading optical meteorologists, also cover advanced spectroscopic techniques, experimental quantum optics, and quantum information-- |
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2. |
Record Nr. |
UNISA996558567203316 |
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Autore |
Zhao Xiang |
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Titolo |
Entity Alignment [[electronic resource] ] : Concepts, Recent Advances and Novel Approaches / / by Xiang Zhao, Weixin Zeng, Jiuyang Tang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (252 pages) |
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Collana |
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Big Data Management, , 2522-0187. |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Expert systems (Computer science) |
Data mining |
Artificial intelligence - Data processing |
Knowledge Based Systems |
Data Mining and Knowledge Discovery |
Data Science |
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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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Chapter 1. Introduction to Entity Alignment -- Chapter 2. State-of-the-art Approaches and Categorization -- Chapter 3. Recent Advance in Representation Learning -- Chapter 4. Recent Advance in Alignment Inference -- Chapter 5. Experimental Survey and Evaluation -- Chapter 6. Large-scale Entity Alignment -- Chapter 7. Long-tail Entity Alignment -- Chapter 8. Weakly-supervised Entity Alignment -- Chapter 9. Unsupervised Entity Alignment -- Chapter 10. Multimodal Entity Alignment. |
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Sommario/riassunto |
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This open access book systematically investigates, the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential |
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step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data. |
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