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  • Unsupervised Domain Adaptation

    Recent Advances and Future Perspectives

    Series series Computer Science (R0)
    Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art ... Read more

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  • Advancement in Computational Methods for Life Systems Modelling and Simulation

    8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part I

    Series Book 1 - Springer Nature Proceedings excluding Computer Science
    The five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China.The 35 papers presented were carefully reviewed and selected from over ... Read more

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  • Multi-modal Hash Learning

    Efficient Multimedia Retrieval and Recommendations

    Series series Synthesis Collection of Technology (R0)
    This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing ... Read more

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  • Dynamic Graph Learning for Dimension Reduction and Data Clustering

    Series series Synthesis Collection of Technology (R0)
    This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized ... Read more

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  • Quantum Dots for DNA Biosensing

    Series series Chemistry and Material Science (R0)
    This book provides a broad introduction to all major aspects of quantum dot properties including fluorescence, electrochemical, photochemical and electroluminescence. Such properties have been produced for applications in biosensing, cell tracking, in vivo animal imaging and so on. It focuses on their special applications in DNA biosensing and provides readers with detailed information on the ... Read more

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  • Automated Design of Electrical Converters with Advanced AI Algorithms

    Series series Energy (R0)
    A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical ... Read more

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    Mathematics of Perception

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  • Tree-Based Convolutional Neural Networks

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    Series series Computer Science (R0)
    This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks to their short propagation path, they are as efficient in learning as CNNs; yet they are also as structure-sensitive ... Read more

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  • Advances in Knowledge Discovery and Data Mining

    26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I

    Series Book 1 - Springer Nature Proceedings Computer Science
    The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:Part ... Read more

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  • Advances in Abstract Intelligence and Soft Computing

    Edited by Yingxu Wang ...
    Continuous developments in software and intelligence sciences have brought together the studies of both natural and machine intelligence and the relationship between the function of the brain and the abstract soft mind; creating a new multidisciplinary field of study. Advances in Abstract Intelligence and Soft Computing brings together the latest research in computer science: theoretical software ... Read more

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  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

    26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII

    Series Book 8 - Springer Nature Proceedings Computer Science
    The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 ... Read more

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  • Data Mining: Concepts and Techniques

    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Read more

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