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This book comprehensively reviews searchable encryption, which represents a series of research developments that directly enable search functionality over encrypted data. The book majorly covers: 1) the design and implementation of encrypted search algorithms, data structures, and systems that facil...
Carolin Loos introduces two novel approaches for the
analysis of single-cell data. Both approaches can be used to study cellular
heterogeneity and therefore advance a holistic understanding of biological
processes. The first method, ODE constrained mixture modeling, enables the
identification of sub...
Carolin Loos introduces two novel approaches for the
analysis of single-cell data. Both approaches can be used to study cellular
heterogeneity and therefore advance a holistic understanding of biological
processes. The first method, ODE constrained mixture modeling, enables the
identification of sub...
This book comprehensively reviews searchable encryption, which represents a series of research developments that directly enable search functionality over encrypted data. The book majorly covers: 1) the design and implementation of encrypted search algorithms, data structures, and systems that facil...
This book comprehensively reviews searchable encryption, which represents a series of research developments that directly enable search functionality over encrypted data. The book majorly covers: 1) the design and implementation of encrypted search algorithms, data structures, and systems that facil...
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The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the...