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Books on the topic 'Electric field modeling techniques'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Li, S. Z. Markov random field modeling in image analysis. 3rd ed. Springer, 2009.

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2

Najim, Mohamed. Modeling, estimation and optimal filtration in signal processing. ISTE ; J. Wiley & Sons, 2008.

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3

Gildenblat, Gennady Sh. Compact Modeling: Principles, Techniques and Applications. Springer Science+Business Media B.V., 2010.

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4

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. National Aeronautics and Space Administration, 1998.

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5

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. National Aeronautics and Space Administration, 1998.

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6

Deng, Zhi-De. Electromagnetic Field Modeling of Transcranial Electric and Magnetic Stimulation: Targeting, Individualization, and Safety of Convulsive and Subconvulsive Applications. [publisher not identified], 2013.

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7

A, Savini, and Wiak S, eds. Field models in electricity and magnetism. Springer, 2008.

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8

John, Schewel, and Society of Photo-optical Instrumentation Engineers., eds. High-speed computing, digital signal processing, and filtering using reconfigurable logic: 20-21 November 1996, Boston, Massachusetts. SPIE, 1996.

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9

Burkov, Aleksey. Technical operation of electric ships. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1048423.

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The book investigates the issues related to improving the efficiency of technical operation of ship electric drives, developed their classification. Identified ship's drives, having low reliability, designed and implemented technical solutions to increase their reliability. The appropriateness of the integrated assessment within the tasks of a mathematical and physical modeling. Developed and implemented mathematical and physical models for studies of electric drives. The proposed method, an algorithmic software, and made payments of contactors for work in the proposed technical solutions.&#x0

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10

Ström, Staffan, Yuriy K. Sirenko, and Nataliya P. Yashina. Modeling and Analysis of Transient Processes in Open Resonant Structures: New Methods and Techniques. Springer New York, 2014.

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11

Ström, Staffan, Yuriy K. Sirenko, and Nataliya P. Yashina. Modeling and Analysis of Transient Processes in Open Resonant Structures: New Methods and Techniques. Springer, 2006.

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12

Modeling and Analysis of Transient Processes in Open Resonant Structures: New Methods and Techniques (Springer Series in Optical Sciences). Springer, 2006.

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13

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Pushing the Envelope. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0014.

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Direct electron density determination from SAXS data opens up new opportunities. The ability to model density at high resolution and the implicit direct estimation of solvent terms such as the hydration shell may enable high-resolution wide angle scattering data to be used to calculate density when combined with additional structural information. Other diffraction methods that do not measure three-dimensional intensities, such as fiber diffraction, may also be able to take advantage of iterative structure factor retrieval. While the ability to reconstruct electron density ab initio is a major

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14

Najim, Mohamed. Modeling, Estimation and Optimal Filtration in Signal Processing. Wiley & Sons, Incorporated, John, 2010.

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15

Gao, Jianjun. RF and Microwave Modeling and Measurement Techniques for Field Effect Transistors. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/sbew027e.

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16

Gao, Jianjun. RF and Microwave Modeling and Measurement Techniques for Field Effect Transistors. SciTech Publishing, Incorporated, 2010.

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17

Hudgins, Jerry, and Farzin Asadi. Computer Techniques for Dynamic Modeling of DC-DC Power Converters. Morgan & Claypool Publishers, 2018.

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18

Asadi, Farzin. Computer Techniques for Dynamic Modeling of DC-DC Power Converters. Morgan & Claypool Publishers, 2018.

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19

Asadi, Farzin. Computer Techniques for Dynamic Modeling of DC-DC Power Converters. Springer International Publishing AG, 2018.

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20

Asadi, Farzin. Computer Techniques for Dynamic Modeling of DC-DC Power Converters. Morgan & Claypool Publishers, 2018.

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21

RF and microwave modeling and measurement techniques for compound field effect transistors. SciTech Pub., 2009.

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22

Yu, Wenjian, and Xiren Wang. Advanced Field-Solver Techniques for RC Extraction of Integrated Circuits. Springer London, Limited, 2014.

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23

Yu, Wenjian, and Xiren Wang. Advanced Field-Solver Techniques for RC Extraction of Integrated Circuits. Springer, 2014.

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24

Yu, Wenjian, and Xiren Wang. Advanced Field-Solver Techniques for RC Extraction of Integrated Circuits. Springer, 2016.

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25

Li, Stan Z. Markov Random Field Modeling in Image Analysis (Computer Science Workbench). 2nd ed. Springer, 2001.

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26

Karmakar, Supriya. Novel Three-state Quantum Dot Gate Field Effect Transistor: Fabrication, Modeling and Applications. Springer, 2013.

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27

Karmakar, Supriya. Novel Three-state Quantum Dot Gate Field Effect Transistor: Fabrication, Modeling and Applications. Springer, 2016.

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28

Karmakar, Supriya. Novel Three-State Quantum Dot Gate Field Effect Transistor: Fabrication, Modeling and Applications. Springer London, Limited, 2013.

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29

Banuelos-Cabral, Eduardo Salvador, Jose Alberto Gutierrez-Robles, and Bjorn Gustavsen, eds. Rational Fitting Techniques for the Modeling of Electric Power Components and Systems Using MATLAB Environment. InTech, 2017. http://dx.doi.org/10.5772/intechopen.71692.

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30

Mohammed, Ahmed Sarhan. Analysis and modeling of electrically long MESFETS and coupled schottky lines. 1987.

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31

Schomer, Donald L., and Fernando H. Lopes da Silva, eds. Niedermeyer's Electroencephalography. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.001.0001.

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This book deals with the field of Electroencephalography in the widest possible sense, from the cellular foundations of the electric activities of the brain to a vast number of clinical applications. The basic science sections were up-dated to include advanced computer modeling approaches. The chapters on normal and pathological EEG findings in premature infants, newborns and children were thoroughly revised to keep up with the advances that have taken place recently in studying brain developmental issues. Major advances have taken place in neurophysiological findings in a variety of neurodege

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32

Savini, Antonio, Paolo Di Barba, and Slawomir Wiak. Field Models in Electricity and Magnetism. Springer Netherlands, 2010.

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33

Jolivet, Jean-Pierre. Metal Oxide Nanostructures Chemistry. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190928117.001.0001.

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This much-anticipated new edition of Jolivet's work builds on the edition published in 2000. It is entirely updated, restructured and increased in content. The book focuses on the formation by techniques of green chemistry of oxide nanoparticles having a technological interest. Jolivet introduces the most recent concepts and modelings such as dynamics of particle growth, ordered aggregation, ionic and electronic interfacial transfers. A general view of the metal hydroxides, oxy-hydroxides and oxides through the periodic table is given, highlighting the influence of the synthesis conditions on

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34

Bethke, Craig M. Geochemical Reaction Modeling. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195094756.001.0001.

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Geochemical reaction modeling plays an increasingly vital role in several areas of geoscience, from environmental geochemistry and petroleum geology to the study of geothermal and hydrothermal fluids. This book provides an up-to-date overview of the use of numerical methods to model reaction processes in the Earth's crust and on its surface. Early chapters develop the theoretical foundations of the field, derive a set of governing equations, and show how numerical methods can be used to solve these equations. Other chapters discuss the distribution of species in natural waters; methods for com

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35

Delgado Martín, Jordi, Andrea Muñoz-Ibáñez, and Ismael Himar Falcón-Suárez. 6th International Workshop on Rock Physics: A Coruña, Spain 13 -17 June 2022: Book of Abstracts. 2022nd ed. Servizo de Publicacións da UDC, 2022. http://dx.doi.org/10.17979/spudc.000005.

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[Abstract] The 6th International Workshop on Rock Physics (6IWRP) was held A Coruña, Spain, between 13th and 17th of June, 2022. This meeting follows the track of the five successful encounters held in Golden (USA, 2011), Southampton (UK, 2013), Perth (Australia, 2015), Trondheim (Norway, 2017) and Hong Kong (China, 2019). The aim of the workshop was to bring together experiences allowing to illustrate, discuss and exchange recent advances in the wide realm of rock physics, including theoretical developments, in situ and laboratory scale experiments as well as digital analysis. While rock phys

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36

Davis, John C., and Ute Christina Herzfeld, eds. Computers in Geology - 25 Years of Progress. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195085938.001.0001.

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This volume vividly demonstrates the importance and increasing breadth of quantitative methods in the earth sciences. With contributions from an international cast of leading practitioners, chapters cover a wide range of state-of-the-art methods and applications, including computer modeling and mapping techniques. Many chapters also contain reviews and extensive bibliographies which serve to make this an invaluable introduction to the entire field. In addition to its detailed presentations, the book includes chapters on the history of geomathematics and on R.G.V. Eigen, the "father" of mathema

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37

Nagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.

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Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. This book examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tool

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38

El-Nasr, Magy Seif, Alessandro Canossa, Truong-Huy D. Nguyen, and Anders Drachen. Game Data Science. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897879.001.0001.

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This book is aimed at giving readers an introduction to the practical side of game data science and thus can be used a textbook for game analytics or game user research class or as a reference to self learners and enthusiasts. Game data science is a term that we use to denote a process composed of methods and techniques by which an analyst or a data scientist can make sense of data to allow decision makers in a game company to make informed decisions. This process involves: statistical analysis, visualization, abstraction of low-level data, machine learning and sequence data modeling. The book

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39

Spear, Thomas. The Oxford Encyclopedia of African Historiography: Methods and Sources. Oxford University Press, 2019. http://dx.doi.org/10.1093/acref/9780190698706.001.0001.

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The difficulties of exploring African history, especially for earlier periods, have spurred the development of a wide range of methodologies and approaches, such that Wyatt McGaffey once termed it “the decathlon of the social sciences.” Historians have long utilized archaeology, ethnography, historical linguistics, and oral traditions, but are only beginning to explore the possibilities of genetics or many of the new techniques used by archaeology and other sciences. And as digital sources—from historical documents and statistics to cartographic, climatic, demographic, and environmental modeli

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40

Hangan, Horia, and Ahsan Kareem, eds. The Oxford Handbook of Non-Synoptic Wind Storms. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190670252.001.0001.

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This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note that the online publication date for this handbook is the date that the first article in the title was published online. For more information, please read the site FAQs. Wind storms impact human lives, their built as well as natural habitat. During t

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41

Cohen Kadosh, Roi, and Ann Dowker, eds. The Oxford Handbook of Numerical Cognition. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.001.0001.

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This book provides a comprehensive overview of numerical cognition by bringing together writing by leading researchers in psychology, neuroscience, and education, covering work using different methodological approaches in humans and animals. During the last decade there had been an explosion of studies and new findings with theoretical and translational implications. This progress has been made thanks to technological advances enabling sophisticated human neuroimaging techniques and neurophysiological studies of monkeys, and to advances in more traditional psychological and educational researc

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42

Narayana, Shalini, Felipe Salinas, Frederick A. Boop, James W. Wheless, and Andrew C. Papanicolaou. Transcranial Magnetic Stimulation. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.11.

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Transcranial magnetic stimulation (TMS) is used to study cortical function by applying localized magnetic fields in a noninvasive manner. This chapter reviews the basic principles of TMS, including the stimulator unit, coils, and the interaction of TMS-induced electric field with the cortex. The advantages of TMS over invasive brain mapping techniques are highlighted. Improvements in the spatial accuracy of TMS are described in the context of image-guided TMS. Types of responses induced by motor cortex stimulation and their utility in mapping normal and diseased motor cortex are discussed. Lan

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43

Horing, Norman J. Morgenstern. Retarded Green’s Functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0005.

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Chapter 5 introduces single-particle retarded Green’s functions, which provide the probability amplitude that a particle created at (x, t) is later annihilated at (x′,t′). Partial Green’s functions, which represent the time development of one (or a few) state(s) that may be understood as localized but are in interaction with a continuum of states, are discussed and applied to chemisorption. Introductions are also made to the Dyson integral equation, T-matrix and the Dirac delta-function potential, with the latter applied to random impurity scattering. The retarded Green’s function in the prese

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44

Callaway, Enoch. Asylum. Praeger, 2007. http://dx.doi.org/10.5040/9798400615603.

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Meet Sam, the man troopers brought in because he was standing at the center of the turnpike, directing traffic, claiming to be God's police chief on earth. And Mary, a middle-aged women so obsessed with clean hands she has rubbed her palms raw and bloody. Then, too, there is Dr. Hudson Hoagland, who uses an ant farm and peppermint oil to illustrate the ancient roots of society's hostility toward schizophrenics. They are all at Worcester State Hospital, the first state insane asylum established in this nation, and the topic of Dr. Enoch Calloway's fascinating, fast-moving book about this facili

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