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  • 1
    UID:
    b3kat_BV048638157
    Format: 1 Online-Ressource (XX, 334 p. 107 illus., 72 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9783031208591
    Series Statement: Lecture Notes in Networks and Systems 583
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-20858-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-20860-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    gbv_1832378985
    Format: 1 Online-Ressource (106 p.)
    ISBN: 9783036515427 , 9783036515410
    Content: The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity
    Note: English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    edoccha_9960727598802883
    Format: 1 electronic resource (106 p.)
    Content: The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity.
    Note: English
    Additional Edition: ISBN 3-0365-1542-9
    Additional Edition: ISBN 3-0365-1541-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    edocfu_9960727598802883
    Format: 1 electronic resource (106 p.)
    Content: The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity.
    Note: English
    Additional Edition: ISBN 3-0365-1542-9
    Additional Edition: ISBN 3-0365-1541-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    almahu_9949298333202882
    Format: 1 electronic resource (106 p.)
    Content: The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity.
    Note: English
    Additional Edition: ISBN 3-0365-1542-9
    Additional Edition: ISBN 3-0365-1541-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Basel : MDPI
    UID:
    b3kat_BV048378097
    Format: 1 Online-Ressource (vii, 96 Seiten)
    ISBN: 9783036515410
    Additional Edition: Erscheint auch als Druck-Ausgabe, hardback ISBN 978-3-0365-1542-7
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 7
    UID:
    almahu_9949420158702882
    Format: XX, 334 p. 107 illus., 72 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031208591
    Series Statement: Lecture Notes in Networks and Systems, 583
    Content: DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year's technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 61 papers were submitted, by authors from 28 different countries representing a truly "wide area network" of research activity. The DCAI'22 technical program has selected 32 full papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica dell'Università degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).
    Note: Natural Language Processing Based on a Text Graph Convolutional Network -- An Alternative Metric to Support Case Base Maintenance in Case-Based Reasoning Processes -- A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples -- Algorithmic Dependent-Type Theory of Situated Information and Context Assessments -- Delayed and Periodic Execution of Tasks in the Jadescript Programming Language -- Comparison of algorithms for the detection of Plasmodium falciparum: A review of machine learning based approaches -- Proposal for measuring the effectiveness of an intelligent control system for traffic crossings -- A Method to Predict the Relative Performance of Stocks Using Financial Meta-indicators.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031208584
    Additional Edition: Printed edition: ISBN 9783031208607
    Language: English
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