Data-drivenTechnologies – Bücher, CDs, LPs und mehr, Seite 10

Engineering and Management of Data Science, Analytics, and AI/ML Projects

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers---academi…

lieferbar innerhalb 2-3 Wochen

Buch

Data Protection, Privacy and Artificial Intelligence, Volume 17

Examines the discourse and developments surrounding privacy and data protection in the digital realm, featuring papers and discussions from the 2024 CPDP.ai international conference.

lieferbar in mind. 4 Wochen

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Ashis Sengupta, Kunio Shimizu
Probability Distributions for Directional Data on Smooth Manifolds

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

lieferbar ab 21.7.2026.

Buch

Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

lieferbar innerhalb 2-3 Wochen

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
AI-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

lieferbar ab 31.5.2026.

Buch

Shishir Kumar Shandilya, Agni Datta, Yash Kartik, Atulya Nagar
Digital Resilience: Navigating Disruption and Safeguarding Data Privacy

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data …

lieferbar innerhalb 2-3 Wochen

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City in the Cloud - Data on the Ground

This book investigates the hidden physical infrastructures behind the digital world. Data may appear immaterial, but it relies on extensive global networks: the extraction of raw materials, the deployment…

sofort lieferbar

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Lukas Silvester Barth, Hannaneh Fahimi, Parvaneh Joharinad, Jürgen Jost
Data Visualization with Category Theory and Geometry

This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general…

lieferbar innerhalb 2-3 Wochen

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

lieferbar innerhalb 2-3 Wochen

Buch

Universality of semantic frames and language specific Bulgarian data

The book Universality of semantic frames and language specific Bulgarian data is devoted to the principles of data organisation in the Bulgarian FrameNet, which has been in development for more than 20 ye…

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Age K Smilde, Federico Marini, Johan A Westerhuis, Kristian Hovde Liland
Analysis of Variance for High-Dimensional Data

Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applicationsAnalysis of Variance for High-Dimensional Data summarizes all the methods to analyze …

lieferbar in mind. 4 Wochen

Buch

Jevin D. West, Carl T. Bergstrom
Calling Bullshit

'A necessary book for our times. But also just great fun' Saul Perlmutter, Nobel Laureate The world is awash in bullshit, and we're drowning in it. Politicians are unconstrained by facts. Science is condu…

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Xuemin Shen (Sherman), Dongxiao Liu
Blockchain-Based Data Security in Heterogeneous Communications Networks

This book investigates data security approaches in Heterogeneous Communications Networks (HCN). First, the book discusses the urgent need for a decentralized data management architecture in HCN. The book …

lieferbar innerhalb 2-3 Wochen

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Raphael Röttinger
Data Analysis and Risk Modelling for Terrorism Prevention:

In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, …

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Yun Feng, Han-Xiong Li, Yaonan Wang
Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems

This book introduces recent developments and trends of S-T abnormality diagnosis for industrial distributed parameter systems (DPSs). As a typical representative of industrial processes, DPSs widely exist…

lieferbar innerhalb einer Woche

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IoT and Big Data Technologies for Health Care

This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17--18, 20…

lieferbar innerhalb 2-3 Wochen

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István Fekete
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains

This book sheds new light on metrics like Minimal Clinically Important Difference (MCID) or Minimal Important Difference (MID) by discussing their application beyond traditional medical fields into non-cl…

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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