Data-driven Techniques – alle Bücher, Seite 2

Bibliometric Analyses in Data-Driven Decision-Making

Bibliometric Analyses in Data-Driven Decision-Making is a comprehensive guide that will provide insights into the growth, impact, and trends within bibliometric tools and methodologies. The handbook will …

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Christopher Gardner
Tableau Certified Data Analyst Study Guide

In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization pla…

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Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

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Ugur Küpper
Data-driven Model for Process Evaluation in Wire EDM

Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using r…

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Hamidreza Arasteh
Data-Driven Energy Management and Tariff Optimization in Power Systems

Presents a comprehensive guide to transforming power systems through dataData-Driven Energy Management and Tariff Optimization in Power Systems offers an authoritative examination of how data science is r…

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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Advances in Intelligent Computing Techniques and Applications

This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts,…

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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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Model Order Reduction, Volume 1, System- and Data-Driven Methods and Algorithms

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. Th…

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Jan-Willem van Wingerden, Nassir Cassamo
Data-driven Modelling of Wind Farm Flow Control Strategies

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory. The algortihms include Input Output …

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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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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.

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Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

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Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and PyTorch

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set an…

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Trang Hoang
Advanced Techniques for Optimal Sizing of Analog Integrated Circuits

A novel and authoritative approach to quantum machine learning in integrated circuits design optimizationIn *Advanced Techniques for Optimal Sizing of Analog Integrated Circuits,*a team of distinguished r…

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AI and ML Techniques in Iot-Based Communication

An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiativesIn AI and ML Techniques in IoT-based Communication: A Path to Sustain…

lieferbar ab 15.1.2026.

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Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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Endangered Heritage Sites

Preface: From traditional eidotypes to enriched representations in cultural heritage.- Part 1: Smart heritage information.- Smart policies for heritage at risk.- Anastylosis of the Frigidarium in Patara a…

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Artificial Intelligent Approaches in Petroleum Geosciences

This book presents cutting-edge approaches to solving practical problems faced by professionals in the petroleum industry and geosciences. With various state-of-the-art working examples from experienced a…

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