Relevant bibliographies by topics / NAR model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'NAR model'

Author: Grafiati
Published: 3 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "NAR model"

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Lu, Fei. "Data-Driven Model Reduction for Stochastic Burgers Equations." Entropy 22, no. 12 (2020): 1360. http://dx.doi.org/10.3390/e22121360.

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We present a class of efficient parametric closure models for 1D stochastic Burgers equations. Casting it as statistical learning of the flow map, we derive the parametric form by representing the unresolved high wavenumber Fourier modes as functionals of the resolved variable’s trajectory. The reduced models are nonlinear autoregression (NAR) time series models, with coefficients estimated from data by least squares. The NAR models can accurately reproduce the energy spectrum, the invariant densities, and the autocorrelations. Taking advantage of the simplicity of the NAR models, we investigate maximal space-time reduction. Reduction in space dimension is unlimited, and NAR models with two Fourier modes can perform well. The NAR model’s stability limits time reduction, with a maximal time step smaller than that of the K-mode Galerkin system. We report a potential criterion for optimal space-time reduction: the NAR models achieve minimal relative error in the energy spectrum at the time step, where the K-mode Galerkin system’s mean Courant–Friedrichs–Lewy (CFL) number agrees with that of the full model.
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Ma, Qingwen, Sihan Liu, Xinyu Fan, Chen Chai, Yangyang Wang, and Ke Yang. "A Time Series Prediction Model of Foundation Pit Deformation Based on Empirical Wavelet Transform and NARX Network." Mathematics 8, no. 9 (2020): 1535. http://dx.doi.org/10.3390/math8091535.

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Large deep foundation pits are usually in a complex environment, so their surface deformation tends to show a stable rising trend with a small range of fluctuation, which brings certain difficulty to the prediction work. Therefore, in this study we proposed a nonlinear autoregressive exogenous (NARX) prediction method based on empirical wavelet transform (EWT) pretreatment is proposed for this feature. Firstly, EWT is used to conduct adaptive decomposition of the measured deformation data and extract the modal signal components with characteristic differences. Secondly, the main components affecting the deformation of the foundation pit are analyzed as a part of the external input. Then, we established a NARX prediction model for different components. Finally, all predicted values are superpositioned to obtain a total value, and the result is compared with the predicted results of the nonlinear autoregressive (NAR) model, empirical mode decomposition-nonlinear autoregressive (EMD-NAR) model, EWT-NAR model, NARX model, EMD-NARX model and EWT-NARX model. The results showed that, compared with the EWT-NAR and EWT-NARX models, the EWT-NARX model reduced the mean square error of KD25 by 91.35%, indicating that the feature of introducing external input makes NARX more suitable for combining with the EWT method. Meanwhile, compared with the EMD-NAR and EWT-NAR models, the introduction of the NARX model reduced the mean square error of KD25 by 78.58% and 95.71%, indicating that EWT had better modal decomposition capability than EMD.
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Saxby, Claire. "NAR launches new Advance Access publication model." Nucleic Acids Research 34, no. 14 (2006): 3833. http://dx.doi.org/10.1093/nar/gkl523.

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Huang, Shih-Feng, Hsin-Han Chiang, and Yu-Jun Lin. "A network autoregressive model with GARCH effects and its applications." PLOS ONE 16, no. 7 (2021): e0255422. http://dx.doi.org/10.1371/journal.pone.0255422.

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In this study, a network autoregressive model with GARCH effects, denoted by NAR-GARCH, is proposed to depict the return dynamics of stock market indices. A GARCH filter is employed to marginally remove the GARCH effects of each index, and the NAR model with the Granger causality test and Pearson’s correlation test with sharp price movements is used to capture the joint effects caused by other indices with the most updated market information. The NAR-GARCH model is designed to depict the joint effects of nonsynchronous multiple time series in an easy-to-implement and effective way. The returns of 20 global stock indices from 2006 to 2020 are employed for our empirical investigation. The numerical results reveal that the NAR-GARCH model has satisfactory performance in both fitting and prediction for the 20 stock indices, especially when a market index has strong upward or downward movements.
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Wang, You, Ruxue Jia, Fang Dai, and Yunxia Ye. "Traffic Flow Prediction Method Based on Seasonal Characteristics and SARIMA-NAR Model." Applied Sciences 12, no. 4 (2022): 2190. http://dx.doi.org/10.3390/app12042190.

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Traffic flow is used as an essential indicator to measure the performance of the road network and a pivotal basis for road classification. However, the combined prediction model of traffic flow based on seasonal characteristics has been given little attention at present. Because the seasonal autoregressive integrated moving average model (SARIMA) has superior linear fitting characteristics, it is often used to process seasonal time series. In contrast, the non-autoregressive dynamic neural network (NAR) has a vital memory function and nonlinear interpretation capabilities. They are suitable for constructing combined forecasting models. The traffic flow time series of a highway in southwest China is taken as the research object in this paper. Combining the SARIMA (0,1,2) (0,1,2)12 model and the NAR model with 15 hidden layer neurons and fourth-order delay, two combined models are constructed: the linear and nonlinear component combination method is realized by the SARIMA-NAR combination model 1, and the MSE weight combination method is used by the SARIMA-NAR combination model 2. We calculated that the prediction accuracy of SARIMA-NAR combined model 1 is as high as 0.92, and the prediction accuracy of SARIMA-NAR combined model 2 is 0.90. In addition, the traffic flow forecast under the influence of the epidemic is also discussed. Through a comprehensive comparison of multiple indicators, the results show that the SARIMA-NAR combined model 1 has better road traffic flow fitting and prediction effects and is suitable for the greater volatility of traffic flow during the epidemic. This model improves the effectiveness and reliability of traffic flow forecasting, and the forecasting process is more convenient and efficient.
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López-Almada, Gabriela, J. Abraham Domínguez-Avila, Rosario Maribel Robles-Sánchez, et al. "Naringenin Decreases Retroperitoneal Adiposity and Improves Metabolic Parameters in a Rat Model of Western Diet-Induced Obesity." Metabolites 15, no. 2 (2025): 109. https://doi.org/10.3390/metabo15020109.

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Background: Obesity is a multifactorial disease with detrimental effects on health and quality of life; unregulated satiety plays a crucial role in food intake and obesity development. Naringenin (NAR) has shown beneficial effects on lipid and carbohydrate metabolism, although its impact on adiposity and satiety remains unclear. This study reports a Western diet (WD)-induced obesity model in rats, wherein 100 mg/kg of NAR was administered as an anti-obesity agent for 8 weeks; oxidative stress, lipid profile, and satiety biomarkers were then studied, as well as in silico interaction between NAR and cholecystokinin (CCK) and ghrelin receptors. Results: NAR supplementation resulted in a significant decrease in retroperitoneal adipose tissue and liver weight, as compared to the untreated WD group (p < 0.05), potentially associated with a decreased feed efficiency. NAR also inhibited the development of dyslipidemia, particularly by reducing serum triglycerides (p < 0.05). NAR supplementation increased CCK serum levels in the basal diet group, an effect that was abolished by the WD (p < 0.05); likewise, no changes were determined on ghrelin (p > 0.05). In silico data shows that NAR is capable of interacting with the CCK and ghrelin receptors, which suggests a potential for it to modulate hunger/satiety signaling by interacting with them. Conclusions: We conclude that NAR has anti-obesogenic effects and may regulate CCK serum levels, although further research is still needed.
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Karr, Jonathan R., Jayodita C. Sanghvi, Derek N. Macklin, Abhishek Arora, and Markus W. Covert. "WholeCellKB: model organism databases for comprehensive whole-cell models." Nucleic Acids Research 41, no. D1 (2012): D787—D792. http://dx.doi.org/10.1093/nar/gks1108.

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Taherdangkoo, Reza, Alexandru Tatomir, Mohammad Taherdangkoo, Pengxiang Qiu, and Martin Sauter. "Nonlinear Autoregressive Neural Networks to Predict Hydraulic Fracturing Fluid Leakage into Shallow Groundwater." Water 12, no. 3 (2020): 841. http://dx.doi.org/10.3390/w12030841.

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Hydraulic fracturing of horizontal wells is an essential technology for the exploitation of unconventional resources, but led to environmental concerns. Fracturing fluid upward migration from deep gas reservoirs along abandoned wells may pose contamination threats to shallow groundwater. This study describes the novel application of a nonlinear autoregressive (NAR) neural network to estimate fracturing fluid flow rate to shallow aquifers in the presence of an abandoned well. The NAR network is trained using the Levenberg–Marquardt (LM) and Bayesian Regularization (BR) algorithms and the results were compared to identify the optimal network architecture. For NAR-LM model, the coefficient of determination (R2) between measured and predicted values is 0.923 and the mean squared error (MSE) is 4.2 × 10−4, and the values of R2 = 0.944 and MSE = 2.4 × 10−4 were obtained for the NAR-BR model. The results indicate the robustness and compatibility of NAR-LM and NAR-BR models in predicting fracturing fluid flow rate to shallow aquifers. This study shows that NAR neural networks can be useful and hold considerable potential for assessing the groundwater impacts of unconventional gas development.
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WANG, K. W., C. DENG, J. P. LI, Y. Y. ZHANG, X. Y. LI, and M. C. WU. "Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network." Epidemiology and Infection 145, no. 6 (2017): 1118–29. http://dx.doi.org/10.1017/s0950268816003216.

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SUMMARYTuberculosis (TB) affects people globally and is being reconsidered as a serious public health problem in China. Reliable forecasting is useful for the prevention and control of TB. This study proposes a hybrid model combining autoregressive integrated moving average (ARIMA) with a nonlinear autoregressive (NAR) neural network for forecasting the incidence of TB from January 2007 to March 2016. Prediction performance was compared between the hybrid model and the ARIMA model. The best-fit hybrid model was combined with an ARIMA (3,1,0) × (0,1,1)12 and NAR neural network with four delays and 12 neurons in the hidden layer. The ARIMA-NAR hybrid model, which exhibited lower mean square error, mean absolute error, and mean absolute percentage error of 0·2209, 0·1373, and 0·0406, respectively, in the modelling performance, could produce more accurate forecasting of TB incidence compared to the ARIMA model. This study shows that developing and applying the ARIMA-NAR hybrid model is an effective method to fit the linear and nonlinear patterns of time-series data, and this model could be helpful in the prevention and control of TB.
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Song, Jintao, Yongchao Chen, and Jie Yang. "A Novel Outlier Detection Method of Long-Term Dam Monitoring Data Based on SSA-NAR." Wireless Communications and Mobile Computing 2022 (August 30, 2022): 1–11. http://dx.doi.org/10.1155/2022/6569367.

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Outlier generally exists in dam monitoring data which may seriously affect the accuracy of dam safety evaluation results. Aiming at the outlier detection of dam monitoring data, a novel dynamic detection method of dam outlier data based on SSA-NAR is proposed. This combined method does not depend on the effect quantity and influence quantity relationship of traditional dam safety theory and only uses the time series of effect quantity to mine the variation, which can avoid the impact of missing or abnormal of the influence quantity. The Nonlinear Autoregression (NAR) is a classical time series neural network widely used in engineering field. However, the prediction accuracy of NAR is greatly affected by the selection of model parameters, the Sparrow Search Algorithm (SSA) which is a novel model parameter solution method and can be combined with NAR to derive the optimal parameters of NAR prediction model. The outlier is identified through the analysis of the residual distribution between the predicted data and the measured data. The case study shows that when the original data does not contain outliers, the prediction accuracy of the model is high. When the outlier is included, the proposed model has good robustness which the outlier has little influence on the prediction effect. It can effectively detect the outlier in the original dam monitoring data and provide a reliable data basis for dam safety evaluation.
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Dissertations / Theses on the topic "NAR model"

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Sojčák, Juraj. "Generátor testovacích běhů nad GUI." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403143.

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Graphical user interfaces represent significant part of computer systems. This causes an increase of demands for their proper behavior, which can be achieved by a proper testing during development. This thesis describes the principles of model based testing for automated generation of test cases. In this way, the productivity of test teams can increase. The thesis defines model for modeling the most common GUI elements, algorithm for obtaining such a model from the GUI, and a tool for definition of coverage criteria.
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Brauch, Jennifer P. "Multidecadal and NAO related variability in a numerical model of the North Atlantic circulation = Multidekadische und NAO bezogene Variabilität in einem numerischen Modell des Nordatlantiks /." Bremerhaven : Alfred-Wegener-Inst. für Polar- und Meeresforschung, 2004. http://elib.suub.uni-bremen.de/.

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Fitzpatrick, Aimee 1978. "Groundwater model of the Nahr Ibrahim Valley, Lebanon." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/84281.

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Čegan, Jakub. "Detekce síťových útoků pomocí statistických modelů nad netflow daty." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236589.

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This diploma thesis describes several selected network attacks detection method using statistical models with NetFlow data. First are described several well known and threats for computer networks, which are easily detectable in the NetFlow data. Thesis also introduce and present the NetFlow technology including its protocol and architecture. The theoretical part of the thesis describes statistical methods with focus on the ASTUTE method, that can be used for an anomaly detection. Following part introduces tools used for method implementation as the NfSen plugins. Last parts of the thesis describe in detail implementation of the plugins and following plugins testing which included simulated network attacks.
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Paulus, Ivo. "Technické řešení protipovodňové ochrany v Bělé nad Radbuzou." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-258388.

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This thesis is focused to flood protection in Bělá nad Radbuzou. Flood protection is designed only for central part of this town, there are, in the central part, most interesting buildings, like city office, shopes, hotel. Protection of buildings, situated in pheriphery in this town are not solved, because of economic and esthetic reasons. Purpose of this work is solution of flood protection in downtown, in range of documentation for area project. This thesis is focused in the first step to detected floods lines and submersion of buildings. In this work are solved suitable grounds for find correct trace of flood protection. Next step is hydrotechnical modelling of water surface for Q5, Q20, and mainly for Q100. Then are solved height and direction of flood protection. In this work are solved statics paramerters of flood protection and separately is created designing part. Economic part and calculating acreage is solved too. In conclusion is complex valorization of flood defences and calculating of total costs. This work were solved on foundations of hydrologic and geodetic data. Data were proces in softwares HEC-RAS, ArcGis, Kros plus and AutoCad. Contribution of this thesis si solving and calculating range flood protection for this town. The main purpose is solved direction and height of flood protection and calculating finance part of this construction. The results of this thesis shows a comprehensive summary about flood protection in Bělá nad Radbuzou.
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Šedrla, Jakub. "Most na dálnici nad Dolanským potokem." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-226425.

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My thesis is focused on a design and comparism of the highway bridge across Dolansky creek. The bridge is built by balanced cantilever method. The common span length is 110metres. The bridge is post-tensioned concrete structure.The static model is made of beams.The static analysis during lifespan of bridge is made by Time discretization analysis . The design of reinforcement is made for longitudinal section and cross section.
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Jakub, František. "Analýza modelů regulace a dozoru nad finančním trhem." Doctoral thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-71674.

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My thesis is directed to the definition, description and comparison of models of the financial market's regulation and supervision. The attention is addressed in particular to institutional aspects of individual systems, advantages and risks which are connected with them, and also to reasons which trigger changes in single countries. The internacional standards are basis for their legal anchorage in which parameters of the independence and accountibility play an immense role. The quality setting of the institutional structure is one, however not sufficient, presumption for the effective supervision's performance. It should not be an objective but only a stepping stone to achieve a better effeciency. The decision which model will be applied for the regulation and supervision is left upon national jurisdictions as it is actually them to take into account all the benefits and expenses including the economic size, structure and level of the market development, legal environment and the central bank's role. Within the last 20 years a fully integrated supervision was generally accepted in the frame of single institution for all financial market's sectors, mostly outside the central bank. Nevertheless, the contemporary regulation is scrutinized in the light of global financial crisis originated in the year 2008. On the base of actual findings it can be expressed that the current mechanism of regulation is not efficient and does not correspond with the degree of global interconnection among financial markets and the offer of inovative financial products. Although the European Union prepared amendments which came into effect from January 1st 2011, by which new bodies were established, the time for a detailed analysis of the potentional contributions has not come yet. However, I suppose the framework for regulation will again be reevaluated in the future. In my opinion no solution brings a complete eliminaton of risks concerning vulnerabilities and systematic shocks on the financial markets. The main analytic part of my thesis is focused on the current supervisory system in the Czech republic and Slovakia, which is based on fully integrated architecture within the central bank. Having used the methods of enquiry and intentional selection I verified the validity of two hypotheses: 1. National supervisory institutions grow in favour of market participants unlike the new set european bodies. 2. The current institutional form of the financial market supervision has a support of market participants in the Czech republic and Slovakia. The results imply that the first hypothesis is valid for the Czech republic only where generally exists a bigger discretion in relation to the new european regulation and supervision bodies. In the case of the second hypothesis it can be said that it was confirmed in terms of the institutional form of the financial market supervision has a major support of financial institutions and experts in both the Czech republic and Slovakia.
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N, Badorina L., and Бадьоріна Любов Миколаївна. "Model coustuction of formal correlation." Thesis, Київ, Національний авіаційний університет, 2009. http://er.nau.edu.ua/handle/NAU/14928.

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Integration processes, introduction of telecommunication means, computerizing of human activity have represented a set of new problems and tasks in scientific area which is between computer technologies and linguistics. Thanks to the current stormy development of the automated systems studies, the problem of construction of formal models describing various aspects in the subject field has become extremely important. Among them the leading position is taken by models and modes oriented on the automated evaluation of results of educational process.
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Leung, Ka Yan 1977. "One-dimensional model of fecal coliform in Nahr Ibrahim River (Lebanon)." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/84272.

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Szymeczek, Andrzej. "Vytvoření simulačního modelu přístupové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413103.

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The topic of the diploma thesis is " Application of simulation model of access network". The aim of the thesis was to create a part of the access network in which were tested simulations for TCP and UDP traffic. The theoretical part of the thesis deals with general information about the GNS3 program and the possibilities which this program allows. The next part of the thesis describes the Mikrotik RouterOS program, which was used in the topology. The next section describes the types of routing in IP networks, as well as the types of packet delivery. The practical part deals with the creation of test topologies and verification of the performance of the simulation tool. Furthermore, the practical part deals with the programming of a network generator for TCP and UDP traffic in the network. The generator was created by using a Bash script and a combination of the dd and nc commands. At the end, the thesis describes the results of simulations in terms of transmission speed, network throughput, packet size distribution and in the case of TCP also bidirectional delay – RTT.
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Books on the topic "NAR model"

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Yong-pʻil, Yi, International Society for the Systems Sciences. та Hanʾguk Chʻegye Kwahak Hakhoe, ред. Nam-Pukhan tʻonghap ŭi pokhapchŏk chʻegye model. Sinyu, 1996.

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Tong-chʻŏn, Sin, ed. Nam-Pukhan kyŏngje kyoryu hyŏmnyŏk kwa palchŏn model. Orŭm, 2004.

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Veen, S. van der. Employment equity: Een wet bevordering arbeidskansen naar Canadees model. Wetenschappelijke Raad voor het Regeringsbeleid, 1990.

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Hulst, Jacqueline. De doeltekst centraal: Naar een functioneel model voor vertaalkritiek. Thesis Publishers, 1995.

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Brauch, Jennifer P. Multidecadal and NAO related variability in a numerical model of the North Atlantic circulation =: Multidekadische und NAO bezogene Variabilität in einem numerischen Modell des Nordatlantiks. Alfred-Wegener-Institut für Polar- und Meeresforschung, 2004.

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Keiko, Nakazawa, ed. Origami kenchiku Nara no tabi. Shōkokusha, 1993.

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Keiko, Nakazawa, ed. Origami kenchiku Nara no tabi. Shōkokusha, 1993.

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Petrovskiĭ, V. A. Chelovek nad situat︠s︡ieĭ. Smysl, 2010.

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Sŏ, Min-wŏn. Uri nara kyowŏn ŭi kaebal tosangguk taesang haeoe kyoryu hwalsŏnghwa model. Han'guk Kyoyuk Kaebarwŏn, 2011.

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Coffeng, Bureau Goudappel, Hague Consulting Group, and Netherlands. Projectbureau Integrale Verkeers- en Vervoerstudies., eds. Bever: Een onderzoek naar de haalbaarheid van een bestedingenverkenner. Ministerie van Verkeer en Waterstaat, Projectbureau Integrale Verkeers- en Vervoerstudies, 1991.

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Book chapters on the topic "NAR model"

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Chrobak, Jarosław, and Andrzej Pacut. "Dynamic Programming with NAR Model versus Q-learning — Case Study." In Neural Networks and Soft Computing. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-7908-1902-1_113.

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Brogin, João A. F., Jean Faber, and Douglas D. Bueno. "A General NAR Model for Seizure Identification Across Different Patients." In IFMBE Proceedings. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49401-7_2.

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Thorson, Esther, and Shelly Rodgers. "Network Advertising Model (NAM)." In Digital Advertising. Routledge, 2017. http://dx.doi.org/10.4324/9781315623252-2.

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Jagt, Louwerus Jan. "Onderzoeken naar het taakgerichte model." In Van Richmond naar Reid. Bohn Stafleu van Loghum, 2008. http://dx.doi.org/10.1007/978-90-313-6302-5_12.

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Winhall, Jan. "Epilogue." In Treating Trauma and Addiction with the Felt Sense Polyvagal Model. Routledge, 2021. http://dx.doi.org/10.4324/9780367408183-nan-15.

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Ohno, Atsuyoshi, and Satoshi Ushida. "NAD(P)H as a Coenzyme." In Mechanistic Models of Asymmetric Reductions. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-48868-9_2.

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Ohno, Atsuyoshi, and Satoshi Ushida. "Stereochemistry in NAD(P)+-Dependent Dehydrogenases." In Mechanistic Models of Asymmetric Reductions. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-48868-9_3.

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Shearer, Tobin Miller. "Conclusion: a model for analyzing religious resources in social movements." In Religion and Social Protest Movements. Routledge, 2021. http://dx.doi.org/10.4324/9781315102542-nan-8.

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Md. Ghani, Nor Azura, Saadi bin Ahmad Kamaruddin, Norazan Mohamed Ramli, and Ali Selamat. "Authenticating ANN-NAR and ANN-NARMA Models Utilizing Bootstrap Techniques." In Intelligent Information and Database Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54472-4_71.

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van Cranenburgh, B., and Th Mulder. "Filogenetisch model (hiërarchische niveaus)." In Van contractie naar actie. Bohn Stafleu van Loghum, 1986. http://dx.doi.org/10.1007/978-90-313-9650-4_5.

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Conference papers on the topic "NAR model"

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Yassin, I. M., A. Zabidi, M. K. M. Salleh, and N. E. Abdul Khalid. "Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model." In 2013 IEEE 3rd International Conference on System Engineering and Technology (ICSET). IEEE, 2013. http://dx.doi.org/10.1109/icsengt.2013.6650138.

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Ahmad, Parvez, and Nitin Singh. "Optimal Sizing of ESS in a Hybrid Wind-Diesel Power System Using NAR and NARX Model." In 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE, 2020. http://dx.doi.org/10.1109/upcon50219.2020.9376444.

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Lee, Joanne S., Dan Wilson, Deepen Patel, Jonathan A. Bernstein, Pina D'Angelo, and Anne Marie Salapatek. "An Ideal Clinical Non-Allergic Rhinitis (NAR) Model In An Environmental Exposure Chamber (EEC) Induces Significant Rhinitis Symptoms Which Affects Quality Of Life Of NAR Patients." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4207.

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Liu, Zeyuan, Jiankai Zuo, Rongxin lv, Yepei Sun, and Hongwei Kang. "Research on Time Series Problem Model Based on Dynamic Network NAR and Multiple Regression." In 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2020. http://dx.doi.org/10.1109/icaice51518.2020.00088.

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Moreno-Chaparro, Cristhian, Edwin Rivas, Jeison Salcedo-Lagos, and Alvaro Orjuela Canon. "State of the art of electricity demand forecasting based on wavelet analisys and a nonlinear autoregressive model NAR." In 2012 Workshop on Engineering Applications (WEA). IEEE, 2012. http://dx.doi.org/10.1109/wea.2012.6220078.

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Ye, Zhenhui, Zhou Zhao, Yi Ren, and Fei Wu. "SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/620.

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The recent progress in non-autoregressive text-to-speech (NAR-TTS) has made fast and high-quality speech synthesis possible. However, current NAR-TTS models usually use phoneme sequence as input and thus cannot understand the tree-structured syntactic information of the input sequence, which hurts the prosody modeling. To this end, we propose SyntaSpeech, a syntax-aware and light-weight NAR-TTS model, which integrates tree-structured syntactic information into the prosody modeling modules in PortaSpeech. Specifically, 1) We build a syntactic graph based on the dependency tree of the input sentence, then process the text encoding with a syntactic graph encoder to extract the syntactic information. 2) We incorporate the extracted syntactic encoding with PortaSpeech to improve the prosody prediction. 3) We introduce a multi-length discriminator to replace the flow-based post-net in PortaSpeech, which simplifies the training pipeline and improves the inference speed, while keeping the naturalness of the generated audio. Experiments on three datasets not only show that the tree-structured syntactic information grants SyntaSpeech the ability to synthesize better audio with expressive prosody, but also demonstrate the generalization ability of SyntaSpeech to adapt to multiple languages and multi-speaker text-to-speech. Ablation studies demonstrate the necessity of each component in SyntaSpeech. Source code and audio samples are available at https://syntaspeech.github.io.
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Yu, Pei, Liang Zhang, Biao Fu, and Yidong Chen. "Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/584.

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Most existing studies on Sign Language Translation (SLT) employ AutoRegressive Decoding Mechanism (AR-DM) to generate target sentences. However, the main disadvantage of the AR-DM is high inference latency. To address this problem, we introduce Non-AutoRegressive Decoding Mechanism (NAR-DM) into SLT, which generates the whole sentence at once. Meanwhile, to improve its decoding ability, we integrate the advantages of curriculum learning and NAR-DM and propose a Curriculum-based NAR Decoder (CND). Specifically, the lower layers of the CND are expected to predict simple tokens that could be predicted correctly using source-side information solely. Meanwhile, the upper layers could predict complex tokens based on the lower layers' predictions. Therefore, our CND significantly reduces the model's inference latency while maintaining its competitive performance. Moreover, to further boost the performance of our CND, we propose a mutual learning framework, containing two decoders, i.e., an AR decoder and our CND. We jointly train the two decoders and minimize the KL divergence between their outputs, which enables our CND to learn the forward sequential knowledge from the strengthened AR decoder. Experimental results on PHOENIX2014T and CSL-Daily demonstrate that our model consistently outperforms all competitive baselines and achieves 7.92/8.02× speed-up compared to the AR SLT model respectively. Our source code is available at https://github.com/yp20000921/CND.
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Yi, Pan, Zheng Jianyong, Yang Yun, Zhu Rui, Zhou Cheng, and Shi Tian. "An Electricity Load Forecasting Approach Combining DBN-Based Deep Neural Network and NAR Model for the Integrated Energy Systems." In 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2019. http://dx.doi.org/10.1109/bigcomp.2019.8679194.

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Wang, Xiang, Huijie Song, Shanshan Bai, et al. "Study of the monitored method of atomic clock data exception based on the model of dynamic neural network time series-NAR." In 2016 IEEE International Frequency Control Symposium (IFCS). IEEE, 2016. http://dx.doi.org/10.1109/fcs.2016.7546764.

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Mohamed, Khaled A. "Hydrodynamic and Environmental Impact of Constructing a Closure Dam Near Seawater Intakes of a Power and Desalination Plant." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28086.

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Power and desalination plants are very important in the Arabian Gulf region to provide water and electricity. Abu Dhabi, United Arab Emirates has a number of power and desalination plants. One of these plants is Umm Al Nar plant. It is located inside a lagoon north of Abu Dhabi Island, which is the North Lagoon. Hydrodynamic study was carried out to investigate the impact of constructing a temporary closure dam in the tidal water near the plant intake on the flow pattern and the recirculation of effluent discharges from the outfall to the intake of the plant. The effect of the proposed dam on the mangroves in the vicinity of the plant was investigated. Two dimension hydrodynamic numerical flow model simulates the study area was used in the study. The hydrodynamic and environmental impact of the proposed dam was evaluated by comparing the results of the model computations with and without the dam simulation.
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Reports on the topic "NAR model"

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Tummaruk, Padet, Kakanang Buranaamnuay, Wanpen Adulyanubap, Jinda Singlor, and Mongkol Techakumphu. Development of techniques for freezing boar semen. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.91.

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The objective of the present study was to investigate the feasibility of boar semen cryopreservation in Thailand and to investigate factors that could affect the boar semen quality after cryopreservation. Fifteen purebred boars (5 Landrace, 5 Yorkshire and 5 Duroc) from 2 commercial herds in Nakorn-prathom province were used in the experiment. Three ejaculates from each boar were collected with over one-week interval using gloved-hand technique. After collection, the semen was diluted with isothermal Beltsville thawing solution (BTS) extender. Diluted semen was held at 15 °C for 2 h and centrifuged. The supernatant was discarded and the semen precipitant was re-suspended with lactose-egg yolk (LEY) extender. The diluted semen was cool down to 5°C within 90 min. Two parts of semen were mixed with one part of LEY extender with 9% glycerol and 1.5% Equex-STM®. Thereafter, the processed semen was loaded into 0.5 mL straws. The straws were placed in liquid nitrogen (LN2) vapor approximately 3 cm above the level of the LN2 for 20 min and then were plunged into LN2. Thawing was achieved by immersing the straws in water at 50 °C for 12 second. After thawing, the semen was diluted (1:4) with an extender consisting of 95% BTS and 5% LEY extender. The extended thawed semen was incubated in a 38 °C water-bath for 30 min before evaluating the semen quality after thawing. Sperm concentration, individual motility, sperm viability, percentage of normal apical ridge (NAR), sperm plasma membrane function (sHost) and sperm plasma membrane integrity (SYBR) were evaluated. The semen qualities before and after thawing were compared for each boar using paired t-test. Pearson’s correlation was used to evaluate the correlation among all sperm parameters that were measured. Data on individual motility, viability, NAR, sHost positive spermatozoa and SYBR after thawing were analyzed using the General Linear Model (GLM) procedure of the SAS. On average, the sperm concentration of pre-diluted fresh semen was 529.7x106 spz/mL and the sperm concentration of frozen thawed semen was 811x106 spz/mL. The individual motility, the sperm viability, the NAR, the sHost and the SYBR of boar spermatozoa after frozen-thawed were 28%, 36.2%, 26.4%, 18.5% and 30.9%, respectively. All of the sperms parameters measured significantly decreased after frozen and thawed i.e., individual motility decreased by 44.2%, sperm viability decreased by 37.9% and NAR deceased by 59.5%. The individual motility of frozen-thawed spermatozoa was significantly correlated with the sperm viability (P<0.001), the NAR (P<0.02), the sHOST (P<0.001) and the membrane integrity (SYBR) (P<0.001). The higher concentration of frozen-thawed semen resulted in the lower membrane integrity (r=-0.3, P=0.04). Breed of boars and the individual boar within the same breed significantly influenced most of the sperm parameters after being frozen-thawed. The sperm viability of frozen-thawed semen in Duroc and Landrace boars was significantly higher than Yorkshire boars (P<0.05). The membrane integrity of frozen-thawed semen in Landrace boar was significantly higher than Yorkshire boars (P<0.05). In conclusions, the semen cryopreservation of boar could be performed successfully in Thailand with an average concentration of spermatozoa in frozen thawed semen of 811x106 spz/mL, the individual motility of 28% and the sperm viability of 36%. Breed of boars and the individual boar within the same breed significantly influenced most of the sperm parameters after being frozen-thawed.
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Srisuresh, P. Security Model with Tunnel-mode IPsec for NAT Domains. RFC Editor, 1999. http://dx.doi.org/10.17487/rfc2709.

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Holzenthal, Elizabeth, and Bradley Johnson. Comparison of run-up models with field data. Engineer Research and Development Center (U.S.), 2024. https://doi.org/10.21079/11681/49470.

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Run-up predictions are inherently uncertain, owing to ambiguities in phase-averaged models and inherent complexities of surf and swash-zone hydrodynamics. As a result, different approaches, ranging from simple algebraic expressions to computationally intensive phase-resolving models, have been used in attempt to capture the most relevant run-up processes. Studies quantifiably comparing these methods in terms of physical accuracy and computational speed are needed as new observation technologies and models become available. The current study tests the capability of the new swash formulation of the Coastal Modeling System (CMS) to predict 1D run-up statistics (R2%) collected during an energetic 3-week period on sandy dune-backed beach in Duck, North Carolina. The accuracy and speed of the debut CMS swash formulation is compared with one algebraic model and three other numerical models. Of the four tested numerical models, the CSHORE model computed the results fastest, and the CMS model results had the greatest accuracy. All four numerical models, including XBeach in surfbeat and nonhydrostatic modes, yielded half the error of the algebraic model tested. These findings present an encouraging advancement for phase-averaged coastal models, a critical step towards rapid prediction for near-time deterministic or long-term stochastic guidance.
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Bhurtyal, Sanjeev, Hieu Bui, Sarah Hernandez, et al. Prediction of waterborne freight activity with Automatic Identification System using machine learning. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49794.

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This paper addresses latency issues related to publicly available port-level commodity tonnage reports. Predicting commodity tonnage at the port-level, near real time vessel tracking data is used with historical WCS with a machine learning model. Commodity throughput is derived from WCS data which is released publicly approximately two years after collection. This latency presents a challenge for short-term planning and other operational uses. This study leverages near real time vessel tracking data from the AIS data set. LSTM, TCN, and TFT machine learning models are developed using the features extracted from AIS and the historical WCS data. The output of the model is the prediction of the quarterly volume of commodities at port terminals for four quarters in the future. Uncategorized and Categorized models were developed. The uncategorized outperformed the categorized based on the Mean Absolute Percentage Error. The uncategorized LSTM model has the highest accuracy. Results show the model has higher accuracy for port terminals that handle a specific type of vessel, compared to the port terminals handling more than one vessel type. The application of the model enables port authorities and stakeholders to make short-term capacity expansion and infrastructure investment decisions based on commodity volume.
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Bullard, James, George W. Evans, and Seppo Honkapohja. A Model of Near-Rational Exuberance. Federal Reserve Bank of St. Louis, 2007. http://dx.doi.org/10.20955/wp.2007.009.

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R.A. Wagner. Near Field Environment Process Model Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837130.

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King, Jack, and Yang. L51905 Assessment of the Aggressiveness of Various Types of Soils for Low-pH SCC. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0010942.

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Empirical evidence from field locations at which near-neutral pH SC has been observed suggests that some types of site and/or soil are more aggressive than others. Soil and site characteristics are the basis of "soils models" which are used to rank areas on a pipeline system according to the probability of SCC in risk assessment models. In this study, solutions extracted from soils ranked according to a commonly used soils model were used to assess their aggressiveness to near-neutral pH SCC in slow strain rate and hydrogen permeation tests. The laboratory testing was supplemented by field measurements of various environmental parameters (redox potential, pH, temperature, and soil resistivity) at pipe depth in locations known to support near-neutral pH SCC. These measurements were made both at a single time at various locations along the ROW and continuously at a number of discrete locations.
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Zielinski, Daniel, James Kerr, Kim Bærum, Olivia Simmons, Ana Silva, and R. Goodwin. Advancements in riverine fish movement modeling : bridging environmental complexity and fish behavior. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49423.

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Understanding fish movement and response in relation to their environment near infrastructure and migratory barriers is crucial for developing sustainable fisheries management solutions. Intermediate-scale movement models are a contemporary approach for understanding and predicting movement patterns of riverine fish considering their changing environment, which is predominately water flow. These models can be complex and require interdisciplinary knowledge. For more than 60 years, different approaches have been developed for investigating, reproducing, and predicting the movement outcomes of fish decision making. Due to the breadth of model frameworks available, a systematic review is helpful to summarize the available knowledge including a description of general model properties, environment modeling, agent characteristics, and methods of data use, output, and validation. The analysis of 38 studies found a wide range of model frameworks and architectures. Despite the lack of consistency, each model imposed some combination of the following behaviors: response to flow direction (i.e., rheotaxis), response to flow velocity magnitude, response to turbulence, response to depth, and memory/experience of the individual. There is a clear need for more consistent modeling approaches, increased consideration of memory/experience, inclusion of a wider range of species, incorporation of more detailed environmental covariates, and use of time-dependent solutions in fish movement models.
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Hajdini, Ina, and André Kurmann. Predictable Forecast Errors in Full-Information Rational Expectations Models with Regime Shifts. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202408.

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This paper shows that regime shifts in Full-Information Rational Expectations (FIRE) models generate predictable regime-dependent forecast errors in macro aggregates. Hence, forecast error predictability alone is neither sufficient to reject FIRE nor informative about alternative expectations theories. We instead propose a regime-robust test of FIRE and apply it to a medium-scale New Keynesian model with monetary policy regime shifts that is estimated on US data. While the test fails to decisively reject FIRE, the model conditional on macro data implies expectations that are generally different from observed survey forecasts, thus providing a new empirical motivation for alternative expectations theories.
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Bayless, Jeff, and Norman Abrahamson. An Empirical Model for Fourier Amplitude Spectra using the NGA-West2 Database. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2018. http://dx.doi.org/10.55461/cfhs8430.

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An empirical ground-motion model (GMM) for shallow crustal earthquakes in California and Nevada based on the NGA-West2 database [Ancheta et al. 2014] is presented. Rather than the traditional response spectrum GMM, this model is developed for the smoothed effective amplitude spectrum (EAS) as defined by PEER [Goulet et al. 2018]. The EAS is the orientation- independent horizontal component Fourier amplitude spectrum (FAS) of ground acceleration. The model is developed using a database dominated by California earthquakes, but takes advantage of crustal earthquake data worldwide to constrain the magnitude scaling and geometric spreading. The near-fault saturation is guided by finite-fault numerical simulations and non-linear site amplification is incorporated using a modified version of Hashash et al. [2018]. The model is applicable for rupture distances of 0–300 km, M 3.0 – 8.0, and over the frequency range 0.1–100 Hz. The model is considered applicable for Vs30 in the range 180–1500 m/sec, although it is not well constrained for Vs30 values greater than 1000 m/sec. Models for the median and the aleatory variability of the EAS are developed. Regional models for Japan and Taiwan will be developed in a future update of the model. A MATLAB program that implements the EAS GMM is provided as an electronic appendix.
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