Deep Learning And Missing Data In Engineering Systems
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Deep Learning And Missing Data In Engineering Systems
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Author : Collins Achepsah Leke
language : en
Publisher: Springer
Release Date : 2018-12-13
Deep Learning And Missing Data In Engineering Systems written by Collins Achepsah Leke and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Technology & Engineering categories.
Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems. The missing data estimation processes proposed in the book can be applied in image recognition and reconstruction. To facilitate the imputation of missing data, several artificial intelligence approaches are presented, including: deep autoencoder neural networks; deep denoising autoencoder networks; the bat algorithm; the cuckoo search algorithm; and the firefly algorithm. The hybrid models proposed are used to estimate the missing data in high-dimensional data settings more accurately. Swarm intelligence algorithms are applied to address critical questions such as model selection and model parameter estimation. The authors address feature extraction for the purpose of reconstructing the input data from reduced dimensions by the use of deep autoencoder neural networks. They illustrate new models diagrammatically, report their findings in tables, so as to put their methods on a sound statistical basis. The methods proposed speed up the process of data estimation while preserving known features of the data matrix. This book is a valuable source of information for researchers and practitioners in data science. Advanced undergraduate and postgraduate students studying topics in computational intelligence and big data, can also use the book as a reference for identifying and introducing new research thrusts in missing data estimation.
Artificial Intelligence Methods In The Environmental Sciences
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Author : Sue Ellen Haupt
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-28
Artificial Intelligence Methods In The Environmental Sciences written by Sue Ellen Haupt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-28 with Science categories.
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.
Data Driven Science And Engineering
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Author : Steven L. Brunton
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-05
Data Driven Science And Engineering written by Steven L. Brunton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-05 with Computers categories.
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Handbook Of Machine Learning Volume 2 Optimization And Decision Making
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Author : Tshilidzi Marwala
language : en
Publisher: World Scientific
Release Date : 2019-11-21
Handbook Of Machine Learning Volume 2 Optimization And Decision Making written by Tshilidzi Marwala and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-21 with Computers categories.
Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.
Artificial Intelligence Game Theory And Mechanism Design In Politics
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Nature
Release Date : 2023-08-04
Artificial Intelligence Game Theory And Mechanism Design In Politics written by Tshilidzi Marwala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Political Science categories.
This book explores how AI and mechanism design can provide a new framework for international politics. The international political system is all manners in which countries, governments and people relate. Mechanism design in international politics relates to identifying rules that define relationships between people and countries that achieve a particular outcome, e.g., peace or more trade or democracy or economic development. Artificial intelligence is technique of making machines intelligent. This book explores mechanism design and artificial intelligence in international politics and applies these technologies to politics, economy and society. This book will be of interest to scholars of international relations, politics, sustainable development, and artificial intelligence.
Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques
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Author : Olivas, Emilio Soria
language : en
Publisher: IGI Global
Release Date : 2009-08-31
Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques written by Olivas, Emilio Soria and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-31 with Computers categories.
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
Critical Approaches To Data Engineering Systems And Analysis
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Author : Bora, Abhijit
language : en
Publisher: IGI Global
Release Date : 2024-04-05
Critical Approaches To Data Engineering Systems And Analysis written by Bora, Abhijit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Computers categories.
The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach. Data engineering involves the intricate orchestration of systems and architectural frameworks for collecting, storing, processing, and analyzing vast datasets. The challenge lies in ensuring this data is managed and harnessed effectively, fostering insightful knowledge and steering organizations toward data-driven decision-making. Critical Approaches to Data Engineering Systems and Analysis unveils the latent potential inherent in diverse data analysis and engineering techniques. It combines compelling perspectives, guidelines, and frameworks, applying statistical and mathematical models. As industries and research communities witness increasing demand for web-based systems, software modules, heuristic models, and survey analysis, the book emphasizes the critical methodologies associated with data verification, reliability, fault tolerance, and viability.
Proceedings Of The First International Conference On Data Engineering And Machine Intelligence
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Author : S. Rakesh Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-12-20
Proceedings Of The First International Conference On Data Engineering And Machine Intelligence written by S. Rakesh Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.
The Balancing Problem In The Governance Of Artificial Intelligence
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Nature
Release Date : 2024-11-12
The Balancing Problem In The Governance Of Artificial Intelligence written by Tshilidzi Marwala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Computers categories.
This book examines the balancing problems in the governance of artificial intelligence (AI). AI is transforming the world at an unprecedented pace, which is revolutionary and presents significant challenges. Nevertheless, AI's complex balance dilemma necessitates careful governance as it transforms businesses, economies, and society. Fundamental issues discussed in this book include the complexities of AI's dual nature, the challenges of aligning memorizing with thinking, and the trade-offs between opportunity seeking and risk aversion. This book explores the complex interplay between AI security and transparency, the technical decision between CPUs and GPUs, and the expanding potential of quantum computing. Nevertheless, the challenge of maintaining balance is not resolved by technological advancements. It encompasses the global arena, where the forces of globalization and localization must be reconciled, and the governance sphere, where self-regulation must coexist with government control. Comprising cutting-edge research, real-world examples, and futuristic perspectives, this book guides researchers, practitioners, politicians, entrepreneurs, and leaders in navigating AI's future. The reader will learn how to capitalize on the potential of AI while avoiding its weaknesses, ensuring that this disruptive technology benefits society.
Proceedings Of International Conference On Data Science And Applications
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Author : Mukesh Saraswat
language : en
Publisher: Springer Nature
Release Date : 2021-11-22
Proceedings Of International Conference On Data Science And Applications written by Mukesh Saraswat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Technology & Engineering categories.
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.