Creative Vs. Data-driven Approaches – alle Bücher, Seite 2 online kaufen

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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Prerna Tambay
HR Analytics: A Complete Guide to the Theory and Practice of Data-Driven HR

Understand the theory and practice of collecting, analysing and reporting people data with this dedicated textbook.

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Prerna Tambay
HR Analytics: A Complete Guide to the Theory and Practice of Data-Driven HR

Understand the theory and practice of collecting, analysing and reporting people data with this dedicated textbook.

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

Erscheint bald

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.…

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Louise Bedford
Investing Psychology Secrets: Sure-Fire, Data-Driven Strategies to Supercharge Your Trading Results

BOOST YOUR TRADING PERFORMANCE WITH POWERFUL STRATEGIES THAT WORK Are you ready to supercharge your investing and trading game? In Investing Psychology Secrets, bestselling author Louise Bedford unlocks …

lieferbar in mind. 4 Wochen

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Friedrich von Bülow
A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries

AutoUni ¿ Schriftenreihe - Band 170

Given the limitations of state-of-the-art methods, this book presents a state of health (SOH) forecasting method that is suitable for lithium-ion battery (LIB) systems in real-world battery electric vehic…

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Philipp Nicolas Depta
Physics-Based and Data-Driven Multiscale Modeling of the Structural Formation in Macromolecular Systems

SPE-Schriftenreihe 25

In order to improve knowledge on macromolecular structural formation and self-assembly, this work proposes a physics-based and data-driven multiscale modeling framework capable of describing structural fo…

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Andrea de Mauro, Michele Pacifico
The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics

This is the book that helps managers maximise the business value brought by data to their organisation.

lieferbar in mind. 4 Wochen

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Rahul Bhargava
Community Data

Community Data offers arguments and approaches to working with data in support of community goals. This book is built around concrete examples that will challenge what you think of as data storytelling, e…

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Data Driven Approaches on Medical Imaging

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. an…

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Mehdi Soltanifar, Hamid Sharafi, Tofigh Allahviranloo, Witold Pedrycz
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis

This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The is…

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Ali Moazzeni Khorasgani
Using Data Science and Landscape Approach to Sustain Historic Cities

This book comprehensively explores sustaining historic cities using a landscape approach and data science. The author offers valuable insights for professionals and enthusiasts interested in preserving an…

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Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dyna…

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Aaron M. Ellison, Carsten F. Dormann
Statistics by Simulation

An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biase…

lieferbar ab 29.7.2025.

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Aaron M. Ellison, Carsten F. Dormann
Statistics by Simulation

An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biase…

lieferbar ab 29.7.2025.

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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 scattering A Data Engineering Approach to Wave Scattering Analysis: with Appli…

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National Academies of Sciences Engineering and Medicine, Division of Behavioral and Social Sciences and Education, Committee On National Statistics, Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure
Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - pre…

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