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  • Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

    Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations ... Read more

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  • Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities

    Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other online threats. Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models and weighted social ... Read more

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  • Explainable, Interpretable, and Transparent AI Systems

    Edited by B. K. Tripathy, Hari Seetha ...
    Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case ... Read more

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  • Internet of Things (IoT)

    Technologies, Applications, Challenges and Solutions

    Edited by BK Tripathy, J Anuradha ...
    The term IoT, which was first proposed by Kevin Ashton, a British technologist, in 1999 has the potential to impact everything from new product opportunities to shop floor optimization to factory worker efficiency gains, that will power top-line and bottom-line gains. As IoT technology is being put to diversified use, the current technology needs to be improved to enhance privacy and built secure ... Read more

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  • Next Generation Healthcare Informatics

    Series series Intelligent Technologies and Robotics (R0)
    This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual ... Read more

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  • Global Trends in Intelligent Computing Research and Development

    Edited by B.K. Tripathy, D. P. Acharjya ...
    As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data. Global Trends in Intelligent Computing Research and Development brings together recent advances and in depth knowledge in the fields of knowledge ... Read more

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  • Advances in Secure Computing, Internet Services, and Applications

    Edited by B.K. Tripathy, D. P. Acharjya ...
    Technological advancements have extracted a vast amount of useful knowledge and information for applications and services. These developments have evoked intelligent solutions that have been utilized in efforts to secure this data and avoid potential complex problems. Advances in Secure Computing, Internet Services, and Applications presents current research on the applications of computational ... Read more

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  • Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

    The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been ... Read more

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  • Modern Technologies for Big Data Classification and Clustering

    Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about ... Read more

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  • Artificial Intelligence and Software Testing

    Building systems you can trust

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  • Big Data: Concepts, Methodologies, Tools, and Applications

    The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing ... Read more

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