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Books on the topic 'Data / features engineering'

Author: Grafiati

Published: 25 January 2025

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1

Safdar, Mutahar, Guy Lamouche, Padma Polash Paul, Gentry Wood, and Yaoyao Fiona Zhao. Engineering of Additive Manufacturing Features for Data-Driven Solutions. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32154-2.

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2

H, Fong Henry, and PDA Engineering (Firm : Santa Ana, Calif.). Software Products Division., eds. PATRAN II: A guide to new features and enhancements. Santa Ana, Calif. (1560 Brookhollow Dr., Santa Ana 92705-5475): PDA Engineering, Software Products Division, 1985.

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3

Bartashevich, Aleksandr, Vladimir Onegin, Sergey Trofimov, and Sergey Gayduk. Design furniture. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1025973.

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Reviewed all types of furniture and the basic requirements to it, the history of its development, structural and style features modern furniture, basics of design engineering design. A General characteristic properties of production materials and normative-reference data necessary for the development of interiors and furniture. In detail the questions of automation of designing of furniture. Considered furniture in the interior and analyzed all aspects of engineering products for various purposes for premises of residential and public buildings. For students of higher educational institutions trained on specialities "Technology of logging and wood processing industries" and "Design". Will be useful to students of colleges, higher and secondary vocational and technical schools woodworking profile. Can serve as a reference book for architects, designers, and all production workers in the furniture industry.

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4

Zuev, Sergey, Daut Yahutl', Boris Bass, and Ruslan Maleev. Ignition devices for fuel-air mixture of heat engines. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1911604.

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The textbook describes the basic theoretical foundations and practical tasks in the field of research of ignition devices of fuel-air mixture of heat engines. The data concerning the working conditions of spark plugs, their classification, device and main characteristics are presented. The features of electrophysical processes in spark plugs of automotive internal combustion engines are described in detail. The methodology and algorithms of numerical simulation of the thermal state of a spark plug are considered. The development, testing and quality control, production and operation of ignition devices for fuel-air mixture of heat engines are described. Meets the requirements of the latest generation of federal state standards of higher education. It is intended for undergraduate, graduate and specialist students studying in the fields of 13.03.02 "Electric Power engineering and electrical engineering", 12.03.01 "Instrument Engineering", 12.03.05 "Laser technology and laser technologies", 12.05.01 "Electronic and optoelectronic devices and special purpose systems".

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5

Ozdemir, Sinan, and Divya Susarla. Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems. Packt Publishing, 2018.

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6

Modeling Hydrologic Effects Of Microtopographic Features. Nova Science Publishers, 2011.

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7

(Editor), Ian Flood, and Nabil Kartam (Editor), eds. Artificial Neural Networks for Civil Engineers: Advanced Features and Applications. American Society of Civil Engineers, 1998.

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8

Safdar, Mutahar, Guy Lamouche, and Gentry Wood. Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications. Springer, 2023.

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9

Baran, Nicholas M. R:Base System 5 Including R:Base 5000; The Microsoft Reference Guide to All Commands, Functions and Features (Command Performance Series). Microsoft Press, 1987.

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10

Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2018.

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11

Dong, Guozhu, and Huan Liu. Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2018.

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12

Dong, Guozhu, and Huan Liu. Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2018.

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13

Dong, Guozhu, and Huan Liu. Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2020.

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14

Dong, Guozhu, and Huan Liu. Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2018.

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15

Dong, Guozhu, and Huan Liu. Feature Engineering for Machine Learning and Data Analytics. Taylor & Francis Group, 2018.

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16

Nokeri, Tshepo Chris. Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning. Apress, 2021.

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17

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists. O'Reilly Media, 2018.

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18

Haque, Azimul. Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists. Lulu Press, Inc., 2022.

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19

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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20

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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21

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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22

Misra, Harekrishna, and Mrutyunjaya Panda. Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021.

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23

(Editor), Huan Liu, and Hiroshi Motoda (Editor), eds. Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science). Springer, 1998.

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24

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Springer London, Limited, 2016.

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25

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Springer, 2018.

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26

Niu, Gang. Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions. Ingramcontent, 2016.

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27

Peet, Deborah J., Patrick Horton, Colin J. Martin, and David G. Sutton. Radiotherapy: external beam radiotherapy. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0019.

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Design principles for radiotherapy facilities using X-ray, γ‎-ray, and electron beams are described, especially the requirements for primary and secondary shielding and maze and door entrances. These features are illustrated with reference to the shielded rooms (bunkers) required for linear accelerators, and example calculations are included for shielding and maze design to achieve required dose constraints. The impact of new clinical practices with intensity modulated radiation fields and flattening filter-free operation is also considered. Engineering controls and features for safe operation are described, and good practice in bunker construction and the provision of services to avoid weaknesses in the shielding is outlined. The principle shielding requirements for TomoTherapyTM, CyberKnifeTM, Gamma KnifeTM units, and kilovoltage X-ray units are also described. Finally, personnel monitoring, commissioning surveys, and environmental monitoring in radiation protection management in radiotherapy are discussed. Data for calculating shielding thickness and X-ray scatter for maze design are provided.

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28

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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29

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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30

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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31

Walter, Eric, and Richard Walter. Data Acquisition from Light-Duty Vehicles Using OBD and CAN. SAE International, 2018. http://dx.doi.org/10.4271/r-458.

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Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a guide for the reader on how to acquire and correctly interpret data from the in-vehicle network of light-duty (LD) vehicles. The reader will learn how to determine what data is available on the vehicle's network, acquire messages and convert them to scaled engineering parameters, apply more than 25 applicable standards, and understand 15 important test modes. Topics featured in this book include: • Calculated fuel economy • Duty cycle analysis • Capturing intermittent faults Written by two specialists in this field, Richard P. Walter and Eric P. Walter of HEM Data, the book provides a unique roadmap for the data acquisition user. The authors give a clear and concise description of the CAN protocol plus a review of all 19 parts of the SAE International J1939 standard family. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a must-have reference for product engineers, service technicians fleet managers and all interested in acquiring data effectively from the light-duty vehicles.

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32

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Nonlinear Time Series Analysis with R. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.001.0001.

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In the process of data analysis, the investigator is often facing highly-volatile and random-appearing observed data. A vast body of literature shows that the assumption of underlying stochastic processes was not necessarily representing the nature of the processes under investigation and, when other tools were used, deterministic features emerged. Non Linear Time Series Analysis (NLTS) allows researchers to test whether observed volatility conceals systematic non linear behavior, and to rigorously characterize governing dynamics. Behavioral patterns detected by non linear time series analysis, along with scientific principles and other expert information, guide the specification of mechanistic models that serve to explain real-world behavior rather than merely reproducing it. Often there is a misconception regarding the complexity of the level of mathematics needed to understand and utilize the tools of NLTS (for instance Chaos theory). However, mathematics used in NLTS is much simpler than many other subjects of science, such as mathematical topology, relativity or particle physics. For this reason, the tools of NLTS have been confined and utilized mostly in the fields of mathematics and physics. However, many natural phenomena investigated I many fields have been revealing deterministic non linear structures. In this book we aim at presenting the theory and the empirical of NLTS to a broader audience, to make this very powerful area of science available to many scientific areas. This book targets students and professionals in physics, engineering, biology, agriculture, economy and social sciences as a textbook in Nonlinear Time Series Analysis (NLTS) using the R computer language.

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33

Kasabov, Nikola. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. The MIT Press, 1996. http://dx.doi.org/10.7551/mitpress/3071.001.0001.

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In a clear and accessible style, Kasabov describes rule-based and connectionist techniques and then their combinations, with fuzzy logic included, showing the application of the different techniques to a set of simple prototype problems, which makes comparisons possible. A particularly strong feature of the text is that it is filled with applications in engineering, business, and finance. AI problems that cover most of the application-oriented research in the field (pattern recognition, speech and image processing, classification, planning, optimization, prediction, control, decision making, and game simulations) are discussed and illustrated with concrete examples. Intended both as a text for advanced undergraduate and postgraduate students as well as a reference for researchers in the field of knowledge engineering, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering has chapters structured for various levels of teaching and includes original work by the author along with the classic material. Data sets for the examples in the book as well as an integrated software environment that can be used to solve the problems and do the exercises at the end of each chapter are available free through anonymous ftp. Bradford Books imprint

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34

Rai, Dibya Prakash, ed. Advanced Materials and Nano Systems: Theory and Experiment - Part 2. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150499611220201.

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The discovery of new materials and the manipulation of their exotic properties for device fabrication is crucial for advancing technology. Nanoscience, and the creation of nanomaterials have taken materials science and electronics to new heights for the benefit of mankind. Advanced Materials and Nanosystems: Theory and Experiment covers several topics of nanoscience research. The compiled chapters aim to update students, teachers, and scientists by highlighting modern developments in materials science theory and experiments. The significant role of new materials in future technology is also demonstrated. The book serves as a reference for curriculum development in technical institutions and research programs in the field of physics, chemistry and applied areas of science like materials science, chemical engineering and electronics. This part covers 12 topics in these areas: 1. Recent advancements in nanotechnology: a human health Perspective 2. An exploratory study on characteristics of SWIRL of AlGaAs/GaAs in advanced bio based nanotechnological systems 3. Electronic structure of the half-Heusler ScAuSn, LuAuSn and their superlattice 4. Recent trends in nanosystems 5. Improvement of performance of single and multicrystalline silicon solar cell using low-temperature surface passivation layer and antireflection coating 6. Advanced materials and nanosystems 7. Effect of nanostructure-materials on optical properties of some rare earth ions doped in silica matrix 8. Nd2Fe14B and SmCO5: a permanent magnet for magnetic data storage and data transfer technology 9. Visible light induced photocatalytic activity of MWCNTS decorated sulfide based nano photocatalysts 10. Organic solar cells 11. Neodymium doped lithium borosilicate glasses 12. Comprehensive quantum mechanical study of structural features, reactivity, molecular properties and wave function-based characteristics of capmatinib

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35

Mason, James, Raymond M. Brach, and Matthew Brach. Vehicle Accident Analysis and Reconstruction Methods. 3rd ed. SAE International, 2022. http://dx.doi.org/10.4271/9781468603453.

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In this third edition of Vehicle Accident Analysis & Reconstruction Methods, Raymond M. Brach and R. Matthew Brach have expanded and updated their essential work for professionals in the field of accident reconstruction. Most accidents can be reconstructed effectively using of calculations and investigative and experimental data: the authors present the latest scientific, engineering, and mathematical reconstruction methods, providing a firm scientific foundation for practitioners. Accidents that cannot be reconstructed using the methods in this book are rare. In recent decades, the field of crash reconstruction has been transformed through the use of technology. The advent of event data records (EDRs) on vehicles signaled the era of modern crash reconstruction, which utilizes the same physical evidence that was previously available as well as electronic data that are measured/captured before, during, and after the collision. There is increased demand for more professional and accurate reconstruction as more crash data is available from vehicle sensors. The third edition of this essential work includes a new chapter on the use of EDRs as well as examples using EDR data in accident reconstruction. Early chapters feature foundational material that is necessary for the understanding of vehicle collisions and vehicle motion; later chapters present applications of the methods and include example reconstructions. As a result, Vehicle Accident Analysis & Reconstruction Methods remains the definitive resource in accident reconstruction.

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36

Lederer, Gregor. Rocket Engine on a Student Budget. Technische Universität Dresden, 2021. http://dx.doi.org/10.25368/2022.406.

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A technical project alongside the University courses can deepen the understanding and increase the motivation for the subject of choice. As a student, there is often a hurdle to start such a project because of a lack of inspiration. And even after overcoming this, the costs associated with such a project may put students off. With my project I show how a 3rd semester Mechanical Engineering student can design and manufacture a rocket engine with all testing components on a student budget. Cost structure and resource planning are explained in detail. I launched the project in December 2020 and in September 2021 it was presented at the StuFoExpo21. A general curiosity for the topic and a basic understanding of mechanical engineering was sufficient for starting the project. Importantly, I gained the most valuable knowledge during the implementation of the project, through active failure-iteration and reading specialised literature. The project is focussed on the design and manufacturing of a rocket engine and its testing components. A special feature is the cooling jacket of the combustion chamber. It has been 3D printed in the SLUB Makerspace, a facility at TU Dresden. Further work packages of the project were the programming of sensors and control systems, first open-air combustion tests of the injector head, safety checks and a Risk & Safety analysis. The first testing and other preliminary work were performed in collaboration with fellow students. During the entire design and manufacturing process I was in continuous exchange with the research group “Space Transportation” of the Institute of Aerospace Engineering at TU Dresden. Special thanks go to Dipl.-Ing. Jan Sieder-Katzmann and Dipl.-Ing. Maximilian Buchholz for their help during this process. For 2022 I plan a test campaign of the rocket engine to collect sensor data and to perform engine thrust measurements.

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37

Fomin, Oleksij, and Anna Fomina. Conceptual solutions for the manufacture of cargo wagon bearing systems from composites (Part 1). Primedia eLaunch LLC, 2023. http://dx.doi.org/10.36074/fomins-monograph.2023.

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The monograph will be useful for scientists, designers, engineers whose activities are related to the improvement of technical, economic and operational indicators of non-traction rolling stock at various stages of its life cycle. In particular, the issue of the possibility and expediency of introducing various types of constructive hierarchy of components in the design of wagons. What can happen when creating new models of them or modernizing existing ones. To date, the traditional approach to creating a structure of freight wagons from steel has almost completely exhausted the potential for improving their technical, economic and operational indicators. At the same time, the experience of the development of composite materials and technologies for their creation in other branches of light and heavy engineering and instrument building indicates the prospect of deploying relevant research and development works on the use of such materials in railcar construction. The purpose of the monograph is to highlight the results obtained from the creation of conceptual solutions for the manufacture of component load-carrying systems of freight wagons from composites. The book also presents the results of previous works of a theoretical and practical nature. In particular, given. Analysis of the constructive perfection of truck wagons of the modern domestic vehicle by type. Features of calculations of conceptual solutions for manufacturing non-sowing systems cargo wagons made of composites. Concepts for freight wagons made of composites. The book can be used as a study guide for the preparation of bachelors, masters, doctors of philosophy and doctors of sciences in various specialties of transport mechanics. Including from specialties: railway transport, transport technologies, mechanical engineering, materials science and others.

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