Machine Intelligence and Big Data Analytics for Cybersecurity Applications
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, ...
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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted ...
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Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications / Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative ...
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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks / Krishna Kant Singh, Akansha Singh, Korhan Cengiz, Dac-Nhuong Le
Communication and network technology has witnessed recent rapid development and numerous information services and applications ...
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Machine Learning for Computer Scientists and Data Analysts : From an Applied Perspective / Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
Describes traditional as well as advanced machine learning algorithms Enables students to learn which algorithm is most appropriate ...
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Machine Learning in Dentistry
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance ...
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Manual of Digital Earth
This book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision ...
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Measuring the Business Value of Cloud Computing
The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and ...
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Modeling and Management of Fuzzy Semantic RDF Data / Zongmin Ma, Guanfeng Li, Ruizhe Ma
Presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and ...
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Modern Parallel Programming with C++ and Assembly Language : X86 SIMD Development Using AVX, AVX2, and AVX-512 / Daniel Kusswurm
Understand the essential details about x86 SIMD architectures and instruction sets including AVX, AVX2, and AVX-512. / Master ...
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Multimedia Big Data Computing for IoT Applications
This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and ...
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Nanoinformatics
This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in ...
اقرأ المزيدNew Horizons for a Data-Driven Economy : A Roadmap for Usage and Exploitation of Big Data in Europe
The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with ...
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Numerical Methods Using Java : For Data Science, Analysis, and Engineering / Haksun Li
Covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, ...
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On the path to AI Law’s prophecies and the conceptual foundations of the machine learning age
This book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ...
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Proceedings of International Conference on Communication, Circuits, and Systems
The book proposes new technologies and discusses innovative solutions to various problems in the field of communication, ...
اقرأ المزيدProceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014
Cutting edge scientific researches on various social phenomena are reviewed. New methods for analysis of big data such as ...
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Programming Persistent Memory A Comprehensive Guide for Developers
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand ...
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ReRAM-Based Machine Learning
The transition towards exascale computing has resulted in major transformations in computing paradigms. The need to analyze ...
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Representation Learning for Natural Language Processing
This book provides an overview of the recent advances in representation learning theory, algorithms and applications for ...
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