Data Driven Model Learning For Engineers

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Data Driven Model Learning For Engineers

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Author : Guillaume Mercère
language : en
Publisher: Springer Nature
Release Date : 2023-08-09

Data Driven Model Learning For Engineers written by Guillaume Mercère and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with Mathematics categories.

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary time series. A multi-step approach is introduced for modeling time series which differs from the mainstream in the literature. Singular spectrum analysis of univariate time series, trend and seasonality modeling with least squares and residual analysis, and modeling with ARMA models are discussed in more detail. As applications of data-driven model learning become widespread in society, engineers need to understand its underlying principles, then the skills to develop and use the resulting data-driven model learning solutions. After reading this book, the users will have acquired the background, the knowledge and confidence to (i) read other model learning textbooks more easily, (ii) use linear algebra and statistics for data analysis and modeling, (iii) explore other fields of applications where model learning from data plays a central role. Thanks to numerous illustrations and simulations, this textbook will appeal to undergraduate and graduate students who need a first course in data-driven model learning. It will also be useful for practitioners, thanks to the introduction of easy-to-implement recipes dedicated to stationary time series model learning. Only a basic familiarity with advanced calculus, linear algebra and statistics is assumed, making the material accessible to students at the advanced undergraduate level.

Machine Learning For Civil And Environmental Engineers

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Author : M. Z. Naser
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-08

Machine Learning For Civil And Environmental Engineers written by M. Z. Naser and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Technology & Engineering categories.

Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problems Explainable and causal methods for practical engineering problems Database development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysis A framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.

Machine Learning In Manufacturing

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Author : Carlos A. Escobar
language : en
Publisher: Elsevier
Release Date : 2024-03-17

Machine Learning In Manufacturing written by Carlos A. Escobar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-17 with Technology & Engineering categories.

Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision reviews process monitoring based on machine learning algorithms and the technologies of the fourth industrial revolution and proposes Learning Quality Control (LQC), the evolution of Statistical Quality Control (SQC). This book identifies 10 big data issues in manufacturing and addresses them using an ad-hoc, 5-step problem-solving strategy that increases the likelihood of successfully deploying this Quality 4.0 initiative. With two case studies using structured and unstructured data, this book explains how to successfully deploy AI in manufacturing and how to move quality standards forward by developing virtually defect-free processes. This book enables engineers to identify Quality 4.0 applications and manufacturing companies to successfully implement Quality 4.0 practices. - Provides an understanding of the most relevant challenges posed to the application of Artificial Intelligence (AI) in manufacturing - Includes analytical developments and applications and merges a quality vision with machine learning algorithms - Features structured and unstructured data case studies to illustrate how to develop intelligent monitoring systems with the capacity to replace manual and visual tasks

Sustainable Engineering

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Author : Yasar Demirel
language : en
Publisher: CRC Press
Release Date : 2023-08-04

Sustainable Engineering written by Yasar Demirel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Nature categories.

Sustainable engineering is of great importance for resilient and agile technology and society. This book balances economics, environment, and societal elements of sustainable engineering by integrating process intensification, energy analysis, and artificial intelligence to reduce production costs, improve the use of material and energy, product quality, safety, societal well-being, and water usage. The book provides comprehensive discussion of topics on process intensification, energy analysis, and artificial intelligence that include optimization, energy integration, green engineering, pinch analysis, exergy analysis, feasibility analysis, life cycle assessment, circular economy, bioeconomy, data processing, machine learning, expert systems, digital twins, and self-optimized plants for sustainable engineering.

Dynamic Data Driven Applications Systems

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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2020-11-02

Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Computers categories.

This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.

Practical Finite Element Analysis For Mechanical Engineers

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Author : Onkar Ravindra Patil Er. Lagan Goel
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-05

Practical Finite Element Analysis For Mechanical Engineers written by Onkar Ravindra Patil Er. Lagan Goel and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.

The finite element method (FEM) has become a cornerstone of modern engineering, offering unparalleled capabilities for analyzing and solving complex mechanical problems. From optimizing structural designs to simulating real-world conditions, FEM enables engineers to turn theoretical models into actionable insights. However, while the theoretical foundations of FEM are well-documented, its practical application often remains a challenge for many engineers. Practical Finite Element Analysis for Mechanical Engineers bridges the gap between theory and application. This book is designed for mechanical engineers who want to harness the power of FEM to solve real-world problems effectively and efficiently. It focuses not just on understanding the principles but also on applying them to design, analysis, and optimization tasks in everyday engineering practice. Through clear explanations, hands-on examples, and case studies, this book aims to demystify finite element analysis (FEA) for engineers at all levels. It addresses common challenges such as setting up models, interpreting results, avoiding errors, and balancing accuracy with computational efficiency. The focus is on providing actionable guidance that empowers readers to make sound engineering decisions, whether they are analyzing components for stress, heat transfer, vibrations, or other mechanical phenomena. Unlike theoretical texts that dive deeply into mathematical derivations, this book takes a practical approach. It equips you with the knowledge and tools to confidently apply FEM in your projects without getting lost in unnecessary complexity. Whether you’re a student eager to build a strong foundation, a practicing engineer seeking to enhance your skills, or someone transitioning into the world of simulation, this book is for you. The field of finite element analysis continues to evolve with advancements in software, computing power, and methodologies. However, the principles of sound engineering judgment, thoughtful modeling, and careful interpretation remain timeless. This book emphasizes these principles, ensuring that you not only learn how to use FEA tools but also understand their limitations and how to use them responsibly. It is my hope that this book becomes a practical companion in your engineering journey—helping you solve problems, innovate designs, and build confidence in the transformative power of finite element analysis. Let’s begin this journey into the practical world of FEM, where engineering meets innovation and precision. Authors

Recent Research On Engineering Geology And Geological Engineering

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Author : Janusz Wasowski
language : en
Publisher: Springer
Release Date : 2018-11-07

Recent Research On Engineering Geology And Geological Engineering written by Janusz Wasowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-07 with Science categories.

The ongoing population growth is resulting in rapid urbanization, new infrastructure development and increasing demand for the Earth's natural resources (e.g., water, oil/gas, minerals). This, together with the current climate change and increasing impact of natural hazards, imply that the engineering geology profession is called upon to respond to new challenges. It is recognized that these challenges are particularly relevant in the developing and newly industrialized regions.The idea beyond this Volume is to highlight the role of engineering geology and geological engineering in fostering sustainable use of the Earth's resources, smart urbanization and infrastructure protection from geohazards. We selected 19 contributions from across the globe (16 countries, five continents), which cover a wide spectrum of applied interdisciplinary and multidisciplinary research, from geology to engineering. By illustrating a series of practical case studies, the Volume offers a rather unique opportunity to share the experiences of engineering geologists and geological engineers who tackle complex problems working in different environmental and social settings. The specific topics addressed by the papers included in the Volume are the following: pre-design site investigations; physical and mechanical properties of engineering soils; novel, affordable sensing technologies for long-term geotechnical monitoring of engineering structures; slope stability assessments and monitoring in active open-cast mines; control of environmental impacts and hazards posed by abandoned coal mines; assessment of and protection from geohazards (landslides, ground fracturing, coastal erosion); applications of geophysical surveying to investigate active faults and ground instability; numerical modeling of seabed deformations related to active faulting; deep geological repositories and waste disposal; aquifer assessment based on the integrated hydrogeological and geophysical investigation; use of remote sensing and GIS tools for the detection of environmental hazards and mapping of surface geology.

Computational And Experimental Simulations In Engineering

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Author : Kun Zhou
language : en
Publisher: Springer Nature
Release Date : 2024-12-02

Computational And Experimental Simulations In Engineering written by Kun Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Technology & Engineering categories.

This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 30th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Singapore on August 3-6, 2024. ICCES covers all aspects of applied sciences and engineering: theoretical, analytical, computational, and experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the book discusses highly diverse topics, including composites; bioengineering & biomechanics; geotechnical engineering; offshore & arctic engineering; multi-scale & multi-physics fluid engineering; structural integrity & longevity; materials design & simulation; and computer modeling methods in engineering. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Machine Learning For Engineers

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Author : Marcus J. Neuer
language : en
Publisher: Springer Nature
Release Date : 2024-11-29

Machine Learning For Engineers written by Marcus J. Neuer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex. This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physics-informed learning strategies, the incorporation of uncertainty into modeling, and the development of explainable, trustworthy artificial intelligence with the help of specialized databases. Therefore, this textbook is aimed at students of engineering, natural science, medicine, and business administration as well as practitioners from industry (especially data scientists), developers of expert databases, and software developers.

Proceedings Of The Canadian Society Of Civil Engineering Annual Conference 2022

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Author : Rishi Gupta
language : en
Publisher: Springer Nature
Release Date : 2024-02-05

Proceedings Of The Canadian Society Of Civil Engineering Annual Conference 2022 written by Rishi Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-05 with Technology & Engineering categories.

This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2022. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.