Academic literature on the topic 'NNAR'

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Journal articles on the topic "NNAR"

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Akermi, Seif Eddine, Mohamed L’Hadj, and Schehrazad Selmane. "Epidemiology and Time Series Analysis of Human Brucellosis in Tebessa Province, Algeria, from 2000 to 2020." Journal of Research in Health Sciences 22, no. 1 (2021): e00544-e00544. http://dx.doi.org/10.34172/jrhs.2022.79.

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Background: Brucellosis runs rampant endemically with sporadic outbreaks in Algeria. The present study aimed to provide insights into the epidemiology of brucellosis and compare the performance of some prediction models using surveillance data from Tebessa province, Algeria. Study Design: A retrospective study. Methods: Seasonal autoregressive integrated moving average (SARIMA), neural network autoregressive (NNAR), and hybrid SARIMA-NNAR models were developed to predict monthly brucellosis notifications. The prediction performance of these models was compared using root mean square error (RMS
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Komal Batool, Mirza Faizan Ahmed, and Muhammad Ali Ismail. "A Hybrid Model of Machine Learning Model and Econometrics’ Model to Predict Volatility of KSE-100 Index." Reviews of Management Sciences 4, no. 1 (2022): 225–39. http://dx.doi.org/10.53909/rms.04.01.0125.

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Purpose: The purpose of this paper is to predict the volatility of the KSE-100 index using econometric and machine learning models. It also designs hybrid models for volatility forecasting by combining these two models in three different ways. Methodology: Estimations and forecasting are based on an econometric model GARCH (Generalized Auto Regressive Conditional Heteroscedasticity) and a machine learning model NNAR (Neural Network Auto-Regressive model). The hybrid models designed with GARCH and NNAR include GARCH-based NNAR, NNAR-based GARCH, and the linear combination of GARCH and NNAR. Fin
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Sivhugwana, Khathutshelo Steven, and Edmore Ranganai. "Short-Term Wind Speed Prediction via Sample Entropy: A Hybridisation Approach against Gradient Disappearance and Explosion." Computation 12, no. 8 (2024): 163. http://dx.doi.org/10.3390/computation12080163.

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High-variant wind speeds cause aberrations in wind power systems and compromise the effective operation of wind farms. A single model cannot capture the inherent wind speed randomness and complexity. In the proposed hybrid strategy, wavelet transform (WT) is used for data decomposition, sample entropy (SampEn) for subseries complexity evaluation, neural network autoregression (NNAR) for deterministic subseries prediction, long short-term memory network (LSTM) for complex subseries prediction, and gradient boosting machine (GBM) for prediction reconciliation. The proposed WT-NNAR-LSTM-GBM appro
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Sianturi, Sri Novi Elizabeth, Betty Subartini, and Sukono Sukono. "Comparison of Stock Mutual Fund Price Forecasting Results Using ARIMA and Neural Network Autoregressive Model." International Journal of Quantitative Research and Modeling 6, no. 2 (2025): 208–17. https://doi.org/10.46336/ijqrm.v6i2.1001.

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Stock mutual funds gained popularity among the public as an investment alternative due to the convenience they offer, especially for beginner investors who have limited time and investment knowledge. Compared to money market and bond mutual funds, these mutual funds offer higher potential returns but also come with higher risks due to value fluctuations, so forecasting stock mutual fund prices is essential to minimize losses. Since stock mutual fund prices is time series data, this research employs two forecasting models such as Autoregressive Integrated Moving Average (ARIMA) and Neural Netwo
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Munim, Ziaul Haque, Mohammad Hassan Shakil, and Ilan Alon. "Next-Day Bitcoin Price Forecast." Journal of Risk and Financial Management 12, no. 2 (2019): 103. http://dx.doi.org/10.3390/jrfm12020103.

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This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re-estimation of the forecast model for each step. For cross-validation of forecast results, we consider two different training and test samples. In the first training-sample, NNAR performs better than ARIMA, while ARIMA outperforms NNAR in the second training-sample. Additionally, ARIMA with model re-estimation at each step outperforms NNAR in t
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Zenia, Safia, Mohamed L’Hadj, and Schehrazad Selmane. "A Hybrid Approach Based on Seasonal Autoregressive Integrated Moving Average and Neural Network Autoregressive Models to Predict Scorpion Sting Incidence in El Oued Province, Algeria, From 2005 to 2020." Journal of Research in Health Sciences 23, no. 3 (2023): e00586. http://dx.doi.org/10.34172/jrhs.2023.121.

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Background: This study was designed to find the best statistical approach to scorpion sting predictions. Study Design: A retrospective study. Methods: Multiple regression, seasonal autoregressive integrated moving average (SARIMA), neural network autoregressive (NNAR), and hybrid SARIMA-NNAR models were developed to predict monthly scorpion sting cases in El Oued province. The root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were used to quantitatively compare different models. Results: In general, 96909 scorpion stings were recorded in El Oue
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Ordoñez Mercado, Alipio Francisco. "Modelos híbridos SARIMA-ANN para pronósticos de la COVID-19 en el Perú." Revista IECOS 22, no. 1 (2021): 7–22. http://dx.doi.org/10.21754/iecos.v22i1.1332.

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Se ha construido modelos híbridos ANN-ARIMA por remodelamiento, para realizar los pronósticos de los nuevos casos de contagios por Covid-19 en el Perú, para ello se extrajo y uso los casos confirmados de Covid-19 entre el periodo 06/03/20 hasta el 28/02/21, desde la plataforma de los datos abiertos del Ministerio de Salud. Los resultados hallados indican que los 02 mejores modelos corresponden al modelo hibrido multiplicativo NNAR (27,1,6) * ARIMA(3,0,2)(1,0,1), y al modelo hibrido aditivo NNAR (27,1,6) + ARIMA(1,0,1), cuyos valores del error medio absoluto porcentual(MAPE) se diferencian en t
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Yadav, Baikunth Kumar, Sunil Kumar Srivastava, Ponnusamy Thillai Arasu, and Pranveer Singh. "Time Series Modeling of Tuberculosis Cases in India from 2017 to 2022 Based on the SARIMA-NNAR Hybrid Model." Canadian Journal of Infectious Diseases and Medical Microbiology 2023 (December 16, 2023): 1–9. http://dx.doi.org/10.1155/2023/5934552.

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Tuberculosis (TB) is still one of the severe progressive threats in developing countries. There are some limitations to social and economic development among developing nations. The present study forecasts the notified prevalence of TB based on seasonality and trend by applying the SARIMA-NNAR hybrid model. The NIKSHAY database repository provides monthly informed TB cases (2017 to 2022) in India. A time series model was constructed based on the seasonal autoregressive integrated moving averages (SARIMA), neural network autoregressive (NNAR), and, SARIM-NNAR hybrid models. These models were es
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Sivhugwana, K. S., and E. Ranganai. "Intelligent techniques, harmonically coupled and SARIMA models in forecasting solar radiation data: A hybridization approach." Journal of Energy in Southern Africa 31, no. 3 (2020): 14–37. http://dx.doi.org/10.17159/2413-3051/2020/v31i3a7754.

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The unsteady and intermittent feature (mainly due to atmospheric mechanisms and diurnal cycles) of solar energy resource is often a stumbling block, due to its unpredictable nature, to receiving high-intensity levels of solar radiation at ground level. Hence, there has been a growing demand for accurate solar irradiance forecasts that properly explain the mixture of deterministic and stochastic characteristic (which may be linear or nonlinear) in which solar radiation presents itself on the earth’s surface. The seasonal autoregressive integrated moving average (SARIMA) models are popular for a
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Lam, Ka Chi, and Olalekan Shamsideen Oshodi. "Forecasting construction output: a comparison of artificial neural network and Box-Jenkins model." Engineering, Construction and Architectural Management 23, no. 3 (2016): 302–22. http://dx.doi.org/10.1108/ecam-05-2015-0080.

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Purpose – Fluctuations in construction output has an adverse effect on the construction industry and the economy due to its strong linkage. Developing reliable and accurate predictive models is vital to implementing effective response strategies to mitigate the impact of such fluctuations. The purpose of this paper is to compare the accuracy of two univariate forecast models, i.e. Box-Jenkins (autoregressive integrated moving average (ARIMA)) and Neural Network Autoregressive (NNAR). Design/methodology/approach – Four quarterly time-series data on the construction output of Hong Kong were coll
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Dissertations / Theses on the topic "NNAR"

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Lee, Yi-Ying. "Transcription factor NNR from Paracoccus denitrificans." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426570.

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Gustavsson, Emma, and Linnea Johansson. "Planering av LCHF- och NNR-kost : Samt en undersökning om unga kvinnors erfarenheter av populärdieter." Thesis, Umeå universitet, Institutionen för kostvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-96575.

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Bakgrund Idag är LCHF (Low-carbohydrate High-fat) en populär diet. Forskningen som finns inom området fokuserar mycket på viktnedgång. Därför är det intressant att undersöka kosten genom att analysera dess sammansättning och jämföra med rekommendationerna enligt Nordiska näringsrekommendationer (NNR). Syfte Utveckla fyra-veckors menyer för LCHF-kost samt en blandkost enligt NNR inför en RCT-studie. Undersöka om det finns risk för lågt intag av vitaminer, mineraler och kostfibrer enligt NNR:s rekommendationer för unga kvinnor (18-30 år) vid en LCHF-kost. Undersöka möjligheterna att uppnå rekomm
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Ahlström, My, Sanna Hendriksson, and Bojan Stevic. "Den hälsosamma kosten : uppfattningar, resonemang och livsmedelsval." Thesis, Högskolan Kristianstad, Sektionen för lärande och miljö, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-11170.

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Många konsumenter är idag mycket hälsomedvetna och önskar att äta en hälsosam kost, men möter i sin vardag ett flertal problem. Livsmedelsval kan handla om ställningstaganden och identitet, prismedvetenhet och miljömedvetenhet. Många faktorer påverkar synen på vad som är en hälsosam kost. Livsmedelsvalet blir därför ett komplext vardagsproblem för konsumenten. Det påverkas i viss mån av begrepp från den mediala debatten kring livsmedel, kost och hälsa. Syftet med den här studien var att undersöka vad ett urval av konsumenter äter och vad de anser att de borde äta. Ett ytterligare delsyfte var
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Southall, Emily Jane. "The ecology of poor fen & willow carr on Goss Moor NNR, Cornwall." Thesis, University of Plymouth, 2001. http://hdl.handle.net/10026.1/2017.

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Goss Moor NNR is a unique, rare and nationally-important wetland habitat in Mid- Cornwall. The majority of the habitats were created as a result of a long history of tin-stream mining, which ceased in the early 1900s. Phytosociological surveys of poor-fen and willow carr communities provide the first formal descriptions of the vegetation at this site. The poor-fen survey revealed twelve poor-fen vegetation types, which were distributed along a primary environmental gradient of organic matter depth, surface water height and bare substrate. Separation of the poor-fen communities by a moisture gr
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Villarreal, Carlo Arlan. "An analysis of the reliability and validity of the Naglieri Nonverbal Ability Test (NNAT) with English language Learner (ELL) Mexican American children." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3850.

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The purpose of this study was to investigate the reliability and validity of the results of the Naglieri Nonverbal Ability Test (NNAT; Naglieri, 1997a) with a sample of English Language Learner (ELL) Mexican American children and to compare the performance on the NNAT of 122 ELL Mexican American children with children from the standardization sample. The rationale for conducting this study was the need to identify culturally sensitive and technically adequate nonverbal measures of ability for the fastest growing minority group within America’s public schools today, Mexican American children.
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Shearer, Neil. "Anaerobic metabolism of Paracoccus denitrificans : the role of vitamin B12 and preliminary characterisation of the transcription factor NNR." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327532.

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Toledo, Foschetti Pedro. "Revisión de evidencia de efectividad sobre programas de formación de entrevistadores de NNA víctimas de delitos sexuales: un análisis comparativo." Tesis, Universidad de Chile, 2014. http://repositorio.uchile.cl/handle/2250/131785.

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Huaraca, Quispe Yennifer Yessy, and Salas Judith Jiménez. "Propuesta de protocolo para la restitución de derechos de niños, niñas y adolescentes (NNA) en situación de trabajo infantil : caso Carabayllo." Master's thesis, Universidad del Pacífico, 2019. http://hdl.handle.net/11354/2511.

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Como parte de la Maestría de Gestión de la Inversión Social, se nos dio la oportunidad de contribuir con la solución a una de las problemáticas de nuestro país; elegimos el trabajo infantil debido a su impacto en el capital humano del Perú: los niños, niñas y adolescentes. Para el desarrollo de este trabajo de investigación revisamos los principales y últimos estudios y propuestas respecto al trabajo infantil, tanto locales, nacionales, como internacionales. Tras ello, nos dimos cuenta que existe buena voluntad por encontrar una solución al problema, sin embargo, no registramos –por lo menos e
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Adrianson, Elin, and Sofia Wall. "Hur menyplaneringen utformas på lunchrestauranger - en kvalitativ intervjustudie." Thesis, Umeå universitet, Institutionen för kost- och måltidsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184110.

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Bakgrund Livsmedelsverket ger rekommendationer för hur allmänheten bör äta för att förebygga folksjukdomar och ha ett hälsosamt liv. Att äta lunch ute har ökat genom åren och människor har blivit mer medvetna om att då göra hälsosamma val, trots att utbudet av detta kan variera. Studier har visat att människor tenderade att göra bättre val om restaurangerna var tydliga med att märka ut hälsosamma val på sina menyer.  Syfte Syftet var att studera hur restauranger med lunchservering planerar sina menyer, vad de förhåller sig till och hur man väljer ut vilka rätter som ska serveras.  Metod Kvalit
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Runyon, Lisa. "Identification of highly gifted 5- and 6-year-old children: Measures to predict academic achievement." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc28471/.

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Studies indicate the educational needs of highly gifted students are best met through accelerated learning. It is difficult to recognize very young children that are suited for an accelerated curriculum because younger students frequently lack school records or portfolios used to identify gifted students. This study examined the accuracy of cognitive ability and achievement tests in predicting academic achievement by the end of second grade, correlating test results and final grade averages collected from sixteen children ages five to six who entered a public school program for high-ability le
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Books on the topic "NNAR"

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Ofomata, Chinedum E. Lee nna m. Format Publishers, 2009.

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D, Maphalla K. P. Nna ke mang? Reach Out Publishers, 1992.

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Sambu, Aadama. Nna maakunda kumpabooroo. PAPA, 1999.

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Picot, Sibylle. Frauen und Ma nner, Jugend, Senioren, Sport. 3rd ed. VS, Verl. fu r Sozialwiss., 2009.

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Manṣūr, Muḥammad ibn Ibrāhīm. Mawāqif Ḥizb al-Nnūr: Waqāʼiʻ wa-kawālīs. Dār al-Khulafāʼ al-Rashdīn, 2014.

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Stigulinszky, Roland. Ein Platz fu r Weihnachtsma nner: Satiren. 2nd ed. Dt. Taschenbuch-Verl., 1989.

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Chartered Institute of Public Finance and Accountancy., ed. Council tax and NNDR: An auditor's guide. CIPFA, 1993.

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Bly, Robert. Eisenhans: Ein Buch u ber Ma nner. Rowohlt Taschenbuch-Verl., 2005.

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Uhl, Wolfgang. Kalahari-hauntnah: Die welt der!Kung-Buschma nner. Oertel & Spo rer, 1994.

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Wiriyaphanphongsā, Sathīan. @satien nna khon khāo-- lang mān mob. Bō̜risat Nēchan Brō̜tkhǣtting Khō̜pō̜rēchan, 2010.

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Book chapters on the topic "NNAR"

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Lankadari, Sajini, and Buddhika Rodrigo. "Chandra-Padma: Design and Developing a Non-linear Narrative Base Augmented Reality (NNAR) Experience." In Springer Series in Design and Innovation. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76156-0_14.

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Lankadari, Sajini, and Buddhika Rodrigo. "Correction to: Chandra-Padma: Design and Developing a Non-linear Narrative Based Augmented Reality (NNAR) Experience." In Springer Series in Design and Innovation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76156-0_21.

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Chopra, Tilak Raj. "Nnak Siṃgh." In Kindlers Literatur Lexikon (KLL). J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_16449-1.

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Chopra, Tilak Raj. "Nnak Siṃgh: Ādamkhor." In Kindlers Literatur Lexikon (KLL). J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_16450-1.

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Jain, M., and A. Gupta. "2508 Diamagnetic susceptibility of NNaO." In Diamagnetic Susceptibility and Anisotropy of Inorganic and Organometallic Compounds. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-44694-1_2509.

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Rollnik, Jens. "Die neurologisch-neurochirurgische Frührehabilitation (NNFR)." In NeuroRehabilitation. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-66957-0_27.

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Krieg, Michael, H. G. Bohnet, H. J. Breustedt, F. Leidenberger, H. Schatz, and R. P. Willig. "Primäre NNR-Insuffizienz (Morbus Addison)." In Endokrinologie I. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74609-3_31.

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Lane, J. D., C. J. Pickett, and D. R. Stanley. "Synthesis of Diazenido Complexes, -NNH and -NNR." In Inorganic Reactions and Methods. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470145227.ch79.

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Mohd, Mohd Rizman Sultan, Juliana Johari, Fazlina Ahmat Ruslan, Noorfadzli Abdul Razak, Salmiah Ahmad, and Ahmad Syahiman Mohd Shah. "Analysis of Training Function for NNARX in Solar Radiation Prediction Modeling." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8515-6_47.

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Martin, Jean-Claude, and Céline Clavel. "Tailored, Multimodal and Opportune Interactions on a Wearable Sport Coach: The WE-nner Framework." In Global Thoughts, Local Designs. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92081-8_3.

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Conference papers on the topic "NNAR"

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Milstead, David Anthony. "Search for neutron conversions with the HIBEAM/NNBAR experiment." In 42nd International Conference on High Energy Physics. Sissa Medialab, 2024. https://doi.org/10.22323/1.476.0288.

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Clarino, David, Kyouhei Seino, Atsushi Matsuo, and Shigeru Yamashita. "Utilizing Don't-Cares to Minimize CNOTs in Synthesizing NNA Compliant Quantum Circuits." In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2024. https://doi.org/10.1109/qce60285.2024.10375.

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Qi, Zanhe, Atsushi Matsuo, and Shigeru Yamashita. "Optimization for Gaussian Elimination-Based NNA-Compliant Circuit Synthesis Method by Inserting CN OT Gates." In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2024. https://doi.org/10.1109/qce60285.2024.00116.

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Durga Prasad, D., B. Sai Kumar, B. Thrishalika, G. Vishnu Pradeep Varma, A. G. B. Ravikumar, and E. Ramanji Naik. "Smart Traffic Control and Spectrum Management in Beyond 5G Networks with NNR and D2D Technology." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013606.

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Yakovyna, Vitaliy, Bohdan Uhrynovskyi, and Oleksandr Bachkay. "Software Failures Forecasting by Holt - Winters, ARIMA and NNAR Methods." In 2019 IEEE 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2019. http://dx.doi.org/10.1109/stc-csit.2019.8929863.

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Sadia, Iqra, Atif Mahmood, Laiha Binti Mat Kiah, and Saaidal Razalli Azzuhri. "Analysis and Forecasting of Blockchain-based Cryptocurrencies and Performance Evaluation of TBATS, NNAR and ARIMA." In 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE, 2022. http://dx.doi.org/10.1109/iicaiet55139.2022.9936798.

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Azmi, Ulil, Soehardjoepri, and Indira Maharani H. Putri. "Application of neural network autoregression (NNAR) and ARIMA-GARCH based on interpolation for forecasting direct economic losses of earthquake in Indonesia." In 7TH INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: Mathematics of Quantum Computing. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0115889.

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Azmi, Muhammad Bilal. "In Silico Basis to Understand the Molecular Interaction of Human NNATGene With Therapeutic Compounds of Anorexia Nervosa." In INTERNATIONAL CONFERENCE ON BIOLOGICAL RESEARCH AND APPLIED SCIENCE. Jinnah University for Women, Karachi,Pakistan, 2022. http://dx.doi.org/10.37962/ibras/2022/1-2.

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Introduction: Anorexia nervosa (AN)– a perplexing heritable, psychiatric eating disorder condition characterized by low body weight. The prevalence of AN is found to be high in younger age adults with a raised mortality rate. Genetic studies have been insufficient in identifying the role of specific genes that predispose an individual to AN. Objectives: The objective was to explore the role of NNAT (neuronatin) gene variants and its structure based molecular interactions with therapeutic compounds of AN. To investigate the role of structural missense pathogenic variants (SNPs: single nucleotid
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Maertens, Laura A., Pramod Upadhyaya, Stephen S. Hecht, and Cheryl L. Zimmerman. "Abstract 1696: Metabolism of(S)-NNAL and(R)-NNAL in the isolated perfused rat lung system." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1696.

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Remesan, R., M. A. Shamim, D. Han, and J. Mathew. "ANFIS and NNARX based rainfall-runoff modeling." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811490.

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Reports on the topic "NNAR"

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Gazs�, A., ed. NanoTrust, 4. Zwischenbericht (J�nner 2010). Self, 2012. http://dx.doi.org/10.1553/ita-d2-c21-4.

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Gazs�, Andr�, ed. NanoTrust, 2. Zwischenbericht (J�nner 2009). Self, 2012. http://dx.doi.org/10.1553/ita-pb-c21-2.

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Gazs�, Andr�, ed. NanoTrust II, 2. Zwischenbericht (J�nner 2012). Self, 2012. http://dx.doi.org/10.1553/ita-pb-c21-7.

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NMR Publicering. NNR 2012: Responses from hearing process. Nordisk Ministerråd, 2014. http://dx.doi.org/10.6027/na2014-913.

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Gazs�, A., ed. Nano-Textilien (NanoTrust-Dossier Nr. 015 - J�nner 2010). Self, 2012. http://dx.doi.org/10.1553/ita-nt-015.

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Blofield, Merike, and Juliana Martínez Franzoni. Opinión Pública sobre las Transferencias Monetarias para Niños, Niñas y Adolescentes en Chile. Universidad de Costa Rica, 2023. http://dx.doi.org/10.15517/kerwa.90431.

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La pobreza es un fenómeno multidimensional y décadas de evidencia demuestran que los programas de transferencias monetarias periódicas pueden proveer una protección sencilla y eficaz contra la pobreza, especialmente la pobreza extrema. Una consulta representativa a nivel nacional realizada en Chile durante mayo y junio del 2022 indica un amplio apoyo de la población (90 %) a un programa de transferencias monetarias destinadas a niños, niñas y adolescentes (NNA). Además, un 97 % apoya fijar el valor de las transferencias en, al menos, la canasta básica de alimentos, un valor 8,5 veces superior
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Kanies, Tim. Rapid Response Small Machining NNR Project 703025. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/952482.

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Gazs�, Andr�, ed. Nanotechnologie in Kosmetika (NanoTrust-Dossier Nr. 008 - J�nner 2009). Self, 2012. http://dx.doi.org/10.1553/ita-nt-008.

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Ornetzeder, Michael, ed. Welche Folgen haben Stromspeicher? (ITA-Dossier Nr.46, J�nner 2020). Self, 2021. http://dx.doi.org/10.1553/ita-doss-046.

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Blofield, Merike, Juliana Martínez Franzoni, and Camila Arza. Opinión Pública sobre las Transferencias Monetarias para Niños, Niñas y Adolescentes en Argentina. Universidad de Costa Rica, 2023. http://dx.doi.org/10.15517/kerwa.90430.

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La pobreza infantil es un reto multidimensional y décadas de evidencia demuestran que el acceso a transferencias monetarias periódicas puede ofrecer una protección eficaz, especialmente contra la pobreza extrema. Una encuesta telefónica representativa a nivel nacional realizada en Argentina entre julio y agosto del 2022 indica un apoyo muy elevado (85 %) a las transferencias monetarias dirigidas a niños, niñas y adolescentes (NNA). Además, 94 % apoya fijar el valor de las transferencias en, al menos, la canasta básica de alimentos. Finalmente, la opinión está dividida en cuanto a los criterios
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