Relevant bibliographies by topics / NAR model

Contents

  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: 31 July 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 investiga
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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 aff
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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
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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 fo
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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
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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 result
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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
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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
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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 desc
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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
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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 superv
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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 o
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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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Ohno, Atsuyoshi, and Satoshi Ushida. "Asymmetric Reduction by Model Compounds of NAD(P)H." In Mechanistic Models of Asymmetric Reductions. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-48868-9_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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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 sent
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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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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 pred
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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
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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 centri
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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
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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 featu
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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 mea
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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 f
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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 differen
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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
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