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Books on the topic 'Forward modeling'

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Author: Grafiati

Published: 4 June 2021

Last updated: 13 July 2024

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1

Cui, Xiaoqin, Laurence Lines, Edward Stephen Krebes, and Suping Peng. Seismic Forward Modeling of Fractures and Fractured Medium Inversion. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3584-5.

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2

Cochrane, Douglas F. Modeling Department of Defense controlled atmosphere transshipments for forward deployed forces. Monterey, Calif: Naval Postgraduate School, 1998.

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3

A, Lock James, and United States. National Aeronautics and Space Administration., eds. Calibration of the forward-scattering spectrometer probe: Modeling scattering from a multimode laser beam. [Washington, DC: National Aeronautics and Space Administration, 1993.

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4

H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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5

H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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6

H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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7

H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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8

Karl, Ellefsen, Haeni F. P, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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9

Öhreneder, Christian. A similarity measure for global image matching based on the forward modeling principle. Wien: Institut für Photogrammetrie und Fernerkundung, 1999.

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10

Karl, Ellefsen, Haeni F. P, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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11

Karl, Ellefsen, Haeni F. P, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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12

Bondaryk, Joseph E. Array processing and forward modeling methods for the analysis of stiffened, fluid-loaded cylindrical shells. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1994.

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13

Aydın, Nadi Serhan. Financial Modelling with Forward-looking Information. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57147-8.

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14

Annema, Anne-Johan. Feed-forward neural networks: Vector decomposition analysis, modelling, and analog implementation. Boston: Kluwer Academic Publishers, 1995.

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15

Annema, Anne-Johan. Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation. Boston, MA: Springer US, 1995.

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16

Modeling and Analysis of Cellular CDMA Forward Channel. Storming Media, 2001.

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17

Peng, Suping, Xiaoqin Cui, Laurence Lines, and Edward Stephen Krebes. Seismic Forward Modeling of Fractures and Fractured Medium Inversion. Springer, 2017.

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18

Cui, Xiaoqin. Seismic Forward Modeling of Fractures and Fractured Medium Inversion. Springer, 2018.

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19

Cui, Xiaoqin, Laurence Lines, and Edward Stephen Krebes. Seismic Forward Modeling of Fractures and Fractured Medium Inversion. Springer, 2017.

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20

Modeling Department of Defense Controlled Atmosphere Transshipments for Forward Deployed Forces. Storming Media, 1998.

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21

Maerten, Frantz. Geomechanics to Solve Geological Structure Issues: Forward, Inverse and Restoration Modeling. Independently Published, 2010.

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22

Calibration of the forward-scattering spectrometer probe: Modeling scattering from a multimode laser beam. [Washington, DC: National Aeronautics and Space Administration, 1993.

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23

GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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24

Forward modeling of well pumpage from the Powder Mountain carbonate aquifer, northern Utah. Utah Geological Survey, 2017. http://dx.doi.org/10.34191/ofr-670.

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25

Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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26

Stamnes, Jakob J., and Knut Stamnes. Radiative Transfer in Coupled Environmental Systems: An Introduction to Forward and Inverse Modeling. Wiley & Sons, Incorporated, John, 2015.

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27

Stamnes, Jakob J., and Knut Stamnes. Radiative Transfer in Coupled Environmental Systems: An Introduction to Forward and Inverse Modeling. Wiley & Sons, Limited, John, 2015.

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28

Stamnes, Jakob J., and Knut Stamnes. Radiative Transfer in Coupled Environmental Systems: An Introduction to Forward and Inverse Modeling. Wiley & Sons, Incorporated, John, 2016.

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29

Stamnes, Jakob J., and Knut Stamnes. Radiative Transfer in Coupled Environmental Systems: An Introduction to Forward and Inverse Modeling. Wiley & Sons, Incorporated, John, 2015.

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30

Laver, Michael, and Ernest Sergenti. Modeling Multiparty Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0001.

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This chapter begins with a brief discussion of the need for a new approach to modeling party competition. It then makes a case for the use of agent-based modeling to study multiparty competition in an evolving dynamic party system, given the analytical intractability of the decision-making environment, and the resulting need for real politicians to rely on informal decision rules. Agent-based models (ABMs) are “bottom-up” models that typically assume settings with a fairly large number of autonomous decision-making agents. Each agent uses some well-specified decision rule to choose actions, and there may be considerable diversity in the decision rules used by different agents. Given the analytical intractability of the decision-making environment, the decision rules that are specified and investigated in ABMs are typically based on adaptive learning rather than forward-looking strategic analysis, and agents are assumed to have bounded rather than perfect rationality. An overview of the subsequent chapters is also presented.

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31

Bongard, Josh. Modeling self and others. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0011.

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Embodied cognition is the view that intelligence arises out of the interaction between an agent’s body and its environment. Taking such a view generates novel scientific hypotheses about biological intelligence and opportunities for advancing artificial intelligence. In this chapter we review one such set of hypotheses regarding how a robot may generate models of self, and others, and then exploit those models to recover from damage or exhibit the rudiments of social cognition. This modeling of self and others draws mainly on three concepts from neuroscience and AI: forward and inverse models in the brain, the neuronal replicator hypothesis, and the brain as a hierarchical prediction machine. The chapter concludes with future directions, including the integration of deep learning methods with embodied cognition.

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32

Shay, John T. Structure of the crust beneath Lake Superior from forward modeling of large aperture seismic data. 1990.

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33

Smedt, Florimond De, Mustafa El-Rawy, Okke Batelaan, and Wouter Zijl. The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow. Springer, 2017.

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34

Grombein, Thomas. Gravity Forward Modeling With a Tesseroid-based Rock-Water-Ice Approach - Theory and Applications in the Context of the GOCE Mission and Height System Unification. Saint Philip Street Press, 2020.

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35

Forward Looking Radar: Interference Modelling, Characterization, and Suppression. Storming Media, 2004.

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36

Aydın, Nadi Serhan. Financial Modelling with Forward-looking Information: An Intuitive Approach to Asset Pricing. Springer, 2017.

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37

Aydın, Nadi Serhan. Financial Modelling with Forward-Looking Information: An Intuitive Approach to Asset Pricing. Springer International Publishing AG, 2018.

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38

Bean, W. Clifton. Naive Causal Modeling: Forware Causation, Al Applications and the New Backward Causation. Dorrance Publishing Co., 1997.

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39

Pineda, Jesús, and Nathalie Reyns, eds. Larval Transport in the Coastal Zone: Biological and Physical Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0011.

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Larval transport is fundamental to several ecological processes, yet it remains unresolved for the majority of systems. We define larval transport, and describe its components, namely, larval behavior and the physical transport mechanisms accounting for advection, diffusion, and their variability. We then discuss other relevant processes in larval transport, including swimming proficiency, larval duration, accumulation in propagating features, episodic larval transport, and patchiness and spatial variability in larval abundance. We address challenges and recent approaches associated with understanding larval transport, including autonomous sampling, imaging, -omics, and the exponential growth in the use of poorly tested numerical simulation models to examine larval transport and population connectivity. Thus, we discuss the promises and pitfalls of numerical modeling, concluding with recommendations on moving forward, including a need for more process-oriented understanding of the mechanisms of larval transport and the use of emergent technologies.

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40

Annema, Jouke. Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation (The International Series in Engineering and Computer Science). Springer, 1995.

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41

Cawthon, Stephanie, and Carrie Lou Garberoglio, eds. Research in Deaf Education. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190455651.001.0001.

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This edited volume, Research in Deaf Education: Contexts, Challenges, and Considerations, provides readers with critical foundational information with which to view contemporary research in deaf education. Deaf education as a field is experiencing a high degree of turnover in its researchers, as well as major shifts in how deaf individuals access information and engage with society as a whole. To conduct research in deaf education includes a need to be mindful of the influence of context as well as the challenges of conducting research with a low-incidence and diverse population. Together with a chapter on history, as well as how the population has changed in recent decades, chapters in this book seek to provide readers with important context and strategies for the implementation of a range of research methodologies. Deaf education research utilizes a great range of research methodologies, and while this volume does not address all possible approaches, it does cover diverse research perspectives, from action research to large-scale surveys to multi-level modeling. In addition, several chapters in this volume address issues that are related to research measures themselves, particularly those that incorporate multiple communication modalities in their content or design. The volume concludes with a thematic analysis of the volume as a whole, offering cross cutting perspectives on how deaf education as a field can move forward in a responsive, ethical, authentic, and rigorous manner.

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42

Brazier, John, Julie Ratcliffe, Joshua Saloman, and Aki Tsuchiya. Measuring and Valuing Health Benefits for Economic Evaluation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198725923.001.0001.

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This is the second edition of the first comprehensive textbook about the measurement and valuation of health benefits for economic evaluation. The National Institute for Health and Care Excellence (NICE) and similar agencies around the word require cost-effectiveness evidence in the form of incremental cost per quality-adjusted life year (QALY) in order to make comparisons across competing demands on resources, and this has resulted in an explosion of theoretical and empirical work in the field. This book addresses the theoretical and practical considerations in the measurement and valuation of health benefit with empirical examples and applications to help clarify understanding and make relevant links to the real world. It includes a glossary of key terms and provides guidance on the use of different methods and instruments. This updated edition provides an-up-to date review of the theoretical basis of the QALY; the definition of health; the techniques of valuation (including ordinal); the modelling of health state values (including mapping between measures); a detailed review of generic preference-based measures and other instruments for obtaining health state utility values (with recent developments); cross-cultural issues (including the disability-adjusted life year); the aggregation of QALYs; and the practical issues surrounding the use of utility values in cost-effectiveness models. The book concludes with a discussion on the way forward in light of the substantial methodological differences, the role of normative judgements, and where further research is most likely to take forward this fascinating component of health economics.

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43

Bouët, Antoine, Sunday Pierre Odjo, and Chahir Zaki, eds. 2022 Africa Agriculture Trade Monitor (AATM). AKADEMIYA2063 and the International Food Policy Research Institute (IFPRI), 2022. http://dx.doi.org/10.54067/9781737916437.

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Agricultural trade and global food security have been dramatically affected by a series of events. While the global economy is recovering in 2022 from the COVID-19 pandemic, the Russian invasion of Ukraine has sparked new and challenging problems. In a context where agricultural prices were recovering from a generalized surge throughout the pandemic, the war reversed these trends and opened an new episode of rising food prices, general inflationary pressures, and increased volatility. The combination of these shocks affects agricultural trade and food security throughout Africa, especially in countries highly dependent on food imports. The role of trade in creating resilience in this volatile environment is crucial and has been much discussed. From this perspective, the 2022 Africa Agriculture Trade Monitor (AATM) contributes to our understanding of African agricultural trade and its relationship with food and nutrition security in several important ways. First, it provides a thorough analysis of regional and continental trade in agriculture and selected value chains using accurate statistics developed for this report. This year, it adds an analysis of the nutritional content of African trade and looks closely at the trade in processed products. Second, it examines the potentially transformative impact of the African Continental Free Trade Area (AfCFTA) on the region’s economies. Third, at the regional level, it analyzes the evolution of intra- as well as extra-regional trade flows, and trade policy of one of Africa’s Regional Economic Communities (RECs), namely the Economic Community of Central Africa States (ECCAS). As in prior editions, this fifth AATM provides improved trade statistics and uses consistent indicators to monitor trends in Africa’s participation in global trade as well as the status of intra-African trade. The report highlights three main findings. First, the insertion of African countries in global and regional value chains is low but has recently improved. Indeed, both forward participation in value chains (that is, provision of inputs to other countries’ processing sectors) and backward participation (incorporation of imported intermediates into African traded products) have increased, although forward links have grown faster than backward links. Second, intra-African trade increased significantly prior to the pandemic in most RECs, especially in processed products. Yet, this trend was halted by the COVID-19 shock, especially in ECCAS and the Arab Maghreb Union (AMU). Third, the nutritional content of extra-African trade is concentrated in products with a high value and a low caloric content. In comparison, intra-African flows are more intensive in calories, fat, and protein. The report also examines a number of special topics. One chapter is devoted to modeling the impacts on trade, growth, and welfare of several potential approaches to AfCFTA implementation. The results confirm that there is a high opportunity cost associated with weak AfCFTA implementation, which is why it is crucial to take a more ambitious approach that fully liberalizes tariffs and reduces nontariff measures. The 2022 AATM also conducts a detailed analysis of trends and policy issues in value chains for stimulants (cocoa, coffee, and tea), demonstrating that trade in these sectors is still concentrated in unprocessed products. Finally, the report examines in-depth the patterns of trade integration within ECCAS. One important finding is that intraregional trade is still impeded by many tariffs, nontariff measures, and poor transport infrastructure. AKADEMIYA2063 and the International Food Policy Research Institute (IFPRI) are pleased to present this collaborative report, which provides an insightful review of Africa’s progress in trade development, within and beyond the continent, and new analysis on critical topics for trade in Africa’s agrifood sector.

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44

Kulak, Dariusz. Wieloaspektowa metoda oceny stanu gleb leśnych po przeprowadzeniu procesów pozyskania drewna. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-28-1.

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Presented reasearch aimed to develop and analyse the suitability of the CART models for prediction of the extent and probability of occurrence of damage to outer soil layers caused by timber harvesting performed under varied conditions. Having employed these models, the author identified certain methods of logging works and conditions, under which they should be performed to minimise the risk of damaging forest soils. The analyses presented in this work covered the condition of soils upon completion of logging works, which was investigated in 48 stands located in central and south-eastern Poland. In the stands selected for these studies a few felling treatments were carried out, including early thinning, late thinning and final felling. Logging works were performed with use of the most popular technologies in Poland. Trees were cut down with chainsaws and timber was extracted by means of various skidding methods: with horses, semi-suspended skidding with the use of cable yarding systems, farm tractors equipped with cable winches or tractors of a skidder type, and forwarding employing farm tractors with trailers loaded mechanically by cranes or manually. The analyses also included mechanised forest operation with the use of a harvester and a forwarder. The information about the extent of damage to soil, in a form of wheel-ruts and furrows, gathered in the course of soil condition inventory served for construction of regression tree models using the CART method (Classification and Regression Trees), based on which the area, depth and the volume of soil damage under analysis, wheel-ruts and furrows, were determined, and the total degree of all soil disturbances was assessed. The CART classification trees were used for modelling the probability of occurrence of wheel-ruts and furrows, or any other type of soil damage. Qualitative independent variables assumed by the author for developing the models included several characteristics describing the conditions under which the logging works were performed, mensuration data of the stands and the treatments conducted there. These characteristics covered in particular: the season of the year when logging works were performed, the system of timber harvesting employed, the manner of timber skidding, the means engaged in the process of timber harvesting and skidding, habitat type, crown closure, and cutting category. Moreover, the author took into consideration an impact of the quantitative independent variables on the extent and probability of occurrence of soil disturbance. These variables included the following: the measuring row number specifying a distance between the particular soil damage and communication tracks, the age of a stand, the soil moisture content, the intensity of a particular cutting treatment expressed by units of harvested timber volume per one hectare of the stand, and the mean angle of terrain inclination. The CART models developed in these studies not only allowed the author to identify the conditions, under which the soil damage of a given degree is most likely to emerge, or determine the probability of its occurrence, but also, thanks to a graphical presentation of the nature and strength of relationships between the variables employed in the model construction, they facilitated a recognition of rules and relationships between these variables and the area, depth, volume and probability of occurrence of forest soil damage of a particular type. Moreover, the CART trees served for developing the so-called decision-making rules, which are especially useful in organising logging works. These rules allow the organisers of timber harvest to plan the management-related actions and operations with the use of available technical means and under conditions enabling their execution in such manner as to minimise the harm to forest soils. Furthermore, employing the CART trees for modelling soil disturbance made it possible to evaluate particular independent variables in terms of their impact on the values of dependent variables describing the recorded disturbance to outer soil layers. Thanks to this the author was able to identify, amongst the variables used in modelling the properties of soil damage, these particular ones that had the greatest impact on values of these properties, and determine the strength of this impact. Detailed results depended on the form of soil disturbance and the particular characteristics subject to analysis, however the variables with the strongest influence on the extent and probability of occurrence of soil damage, under the conditions encountered in the investigated stands, enclosed the following: the season of the year when logging works were performed, the volume-based cutting intensity of the felling treatments conducted, technical means used for completion of logging works, the soil moisture content during timber harvest, the manner of timber skidding, dragged, semi-suspended or forwarding, and finally a distance between the soil damage and transportation ducts. The CART models proved to be very useful in designing timber harvesting technologies that could minimise the risk of forest soil damage in terms of both, the extent of factual disturbance and the probability of its occurrence. Another valuable advantage of this kind of modelling is an opportunity to evaluate an impact of particular variables on the extent and probability of occurrence of damage to outer soil layers. This allows the investigator to identify, amongst all of the variables describing timber harvesting processes, those crucial ones, from which any optimisation process should start, in order to minimise the negative impact of forest management practices on soil condition.

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