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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

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Machine Learning for Data Science Handbook

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and…

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Gérard-Michel Cochard, Mhand Hifi
Mathematics for Digital Science 3

Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathe…

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Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems

This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The …

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Randall K Julian
R Programming for Mass Spectrometry

A practical guide to reproducible and high impact mass spectrometry data analysisR Programming for Mass Spectrometry teaches a rigorous and detailed approach to analyzing mass spectrometry data using the …

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Jean Demaison, Natalja Vogt
Equilibrium Structure of Free Molecules

The properties of chemical, pharmaceutical, and biological compounds depend mainly on their molecular structure, whose determination is of fundamental interest. This book examines and systematizes more th…

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Mark K Hinders
A Data Engineering Approach to Wave Scattering Analysis with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics

Comprehensive resource exploring how recent advancements in computational capabilities open doors to new applications in wave scatteringA Data Engineering Approach to Wave Scattering Analysis: with Applic…

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Eduardo G. Altmann
Statistical Laws in Complex Systems

This book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used t…

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Artificial Intelligence in Prescriptive Analytics

Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making …

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Quantitative Approaches to Microcirculation

Microcirculation is a key area of interest within the realms of biology and medicine. As a vital discipline, microcirculatory biology forms a significant part of established medical fields like cardiovasc…

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Oluwaseun Kolade, Abiodun Egbetokun, Adebowale Owoseni
Generative AI in Research

The growing popularity of Generative AI has stirred new debates about the future of knowledge production. With a prompt and a click, regular users can now generate contents on just about any topic of inte…

lieferbar ab 11.1.2026.

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Petr Mariel, Danny Campbell, Rebecca Blevins, Jürgen Meyerhoff
Environmental Valuation with Discrete Choice Experiments in R

This open access book offers advice and practical guidance for conducting discrete choice experiments (DCEs) in environmental valuation. It covers essential aspects of designing, implementing, and analysi…

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Chinese Language Resources

Based on the accumulation of research experience and knowledge over the past 30 years, this volume lays out the research issues posed by the construction of various types of Chinese language resources, ho…

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Leemay Nassery
Next-Level A/B Testing

The better tools you have in your experimentation toolkit, the better off teams will be shipping and evaluating new features on a product. Learn how to create robust A/B testing strategies that evolve wit…

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Aurora Clark
The Shape of Data in Chemistry

An Advanced Textbook Introducing Graph Theory and Topological Data Analysis for Chemists Chemistry is at a tipping point where the integration with applied mathematics is dramatically expanding research p…

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Praveen Kumar M
Application of Python in the Healthcare Technology

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With …

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Arfan Ghani
Innovations in Computer Vision and Data Classification

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurab…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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¿Ukasz Pawlik
R Applications in Earth Sciences

This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticate…

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Thomas A. Runkler
Data Analytics

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and en…

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