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Fabian Walz
Modellbasierte prädiktive Längsdynamikregelung für künftige Fahrerassistenz- und Automatisierungssysteme

Eine grundlegende Anforderung an künftige automatisierte Fahrzeuge besteht darin, dass Absätze und andere Fahrbahnunebenheiten sicher, zuverlässig und präzise überfahren werden. In dieser Arbeit wird ein …

lieferbar innerhalb 2-3 Wochen

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Mack D. Harkins
Reduced Ice Age Prediction Models

In this study, we explore the effectiveness of particle-filter algorithms in discerning between various differential equation (DE) models aimed at explaining the dynamics of ice age transitions. These mod…

lieferbar innerhalb 2-3 Wochen

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

lieferbar innerhalb 1-2 Wochen

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Stefan Bracke
Reliability Engineering

This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are a…

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Machine Learning for Cyber-Physical Systems

This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS Ma…

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Predictive Intelligence in Medicine

Lecture Notes in Computer Science - Band 15155

This volume constitutes the refereed proceedings of the 7th International Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th International conference on Medical…

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Lawrence McDonald, James Robinson
How to Listen When Markets Speak

'Any investor with skin in the game needs to buy this book.' Niall FergusonFrom Wall Street to the White House, the fantasy of an eventual 'return to normal' is still alive and well. But the economic worl…

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Deep Learning Tools for Predicting Stock Market Movements

Journey into the realm of deep learning and embrace the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With adva…

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Optimization, Discrete Mathematics and Applications to Data Sciences

This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality p…

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Enabling Person-Centric Healthcare Using Ambient Assistive Technology, Volume 2

This book focuses more on the transformative impact of person-centric health care, where it explores cutting-edge advancements in integrating artificial intelligence and machine learning to deliver person…

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Cities as Anticipatory Systems

The theory of anticipation suggests that systems, both biological and social, can adapt and update based on predictive models. Cities, which can be seen as complex systems that are associated with innovat…

lieferbar innerhalb 2-3 Wochen

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Shah
Anaerobic Digestion Foresight: Using Models to Predict UASB Reactor Instability

UASB reactors, superstars of the wastewater treatment world, harness microbes to break down waste and produce biogas. But even superstars can be fickle. Unstable operation means less biogas and treatment …

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Philip Hans Franses
Ethics in Econometrics

Applied econometrics uses the tools of theoretical econometrics and real-word data to develop predictive models and assess economic theories. Due to the complex nature of such analysis, various assumption…

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Antoine Chabert, David Serre
SAP Analytics Cloud: Predictive Analytics

SAP Press Englisch

Today's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types,…

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Sebastian Raschka
Machine Learning Q and AI

"An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natur…

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Mohamed Tarek Khadir
Artificial Neural Networks in Food Processing

Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the t…

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Ch Venkateswarlu
Advances in Process Control with Real Applications

Advances in Process Control with Real Applications presents various advanced controllers, including the formulation, design, and implementation of various advanced control strategies for a wide variety of…

lieferbar ab 25.4.2025.

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Computation-Aware Algorithmic Design for Cyber-Physical Systems

This contributed volume aims to build the foundation of a framework for computationally aware algorithmic design for cyber-physical systems (CPSs), focusing on approaches that take computation into accoun…

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