Literatura académica sobre el tema "Erreurs de prédiction"

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Artículos de revistas sobre el tema "Erreurs de prédiction"

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Iskandar, Iskandar. "PENINGKATAN KEMAMPUAN MENULIS DESKRIPSI DENGAN STRATEGI MODELLING." Pedagogik Journal of Islamic Elementary School 1, no. 1 (2018): 91–104. http://dx.doi.org/10.24256/pijies.v1i1.383.

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This study aims to improve the ability to write descriptions for fifth-grade students of SD Inpres Pabbangiang Gowa Regency which includes the content of ideas, content organization, grammar, diction, and spelling. This research is a classroom action research conducted in two cycles. The research subjects were students of class V in Pabbangiang Inpres Elementary School, Gowa Regency, totaling 43 students. Data collection techniques used are observation, interviews, and tests. The entire data obtained is analyzed through stages: data identification, data reduction, data presentation, and conclu
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Miranty, Delsa, Utami Widiati, Bambang Yudi Cahyono, and Tengku Intan Suzila Tengku Sharif. "The effectiveness of Grammarly application and teacher feedback for undergraduate EFL students' writing skills." Innoeduca. International Journal of Technology and Educational Innovation 11, no. 1 (2025): 108–33. https://doi.org/10.24310/ijtei.111.2025.20521.

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This research investigates the efficacy of Grammarly as an application and teacher feedback in enhancing the writing skills of Indonesian undergraduate EFL students. The Switching Replication Design encompasses 78 first-year students enrolled in a writing course. The study examines the impact of these feedback methods on writing, skill enhancement, and student responses. Data is gathered via pre-and post-tests and a closed-ended questionnaire and analyzed using One-Way ANCOVA and descriptive statistics in SPSS 20. Research shows that Grammarly, when combined with teacher feedback, enhances dic
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Xiong Tao, Chang Sheng-Jiang, Shen Jin-Yuan, and Zhang Yan-Xin. "Adaptive training and pruning algorithm for variable bit rate video traffic pre diction." Acta Physica Sinica 54, no. 4 (2005): 1931. http://dx.doi.org/10.7498/aps.54.1931.

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Leposa, Balázs. "Martinászok polgári köntösben : A magyar termelési dráma Mándi Éva Hétköznapok hősei című műve alapján." Theatron 14, no. 3 (2020): 71–77. http://dx.doi.org/10.55502/the.2020.3.71.

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Éva Mándi’s play Everyday Heroes premiered in November 1949 in the Budapest Inner City Theatre. While this was the first time in the history of Hungarian theatre that a hyper-realistic iron foundry and foundry workers were presented on the stage of an urban theatre, the play and its performance still follow the beats of a pre-war society comedy both in dramaturgy and diction, even though the coda doesn’t feature the reunion and marriage of lovers, but the triumph of increased production.
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Liu, Wen Ting. "Travel Time Prediction of Road Network Based on Multi-Source Data Fusion." Advanced Materials Research 490-495 (March 2012): 850–54. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.850.

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This paper is concerned with the task of travel time pre-diction of urban roadway. For improving the travel time predication ac-curacy, a travel time predication model based multi-source data fusion is proposed. The prediction procedure is divided into two phases, the estimation phase and the prediction phase The method is combined the historical traffic patterns with real-time traffic data as a linear. The resulting model is tested with realistic traffic data, and is found to perform well.
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Ranjit Reddy, B., and Dr Ramana Reddy. "Mapped middle view’s inter-view prediction to multiview pre-diction in MVC." International Journal of Engineering & Technology 8, no. 3 (2019): 275–78. http://dx.doi.org/10.14419/ijet.v8i3.20650.

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Based on the study of several methods involved in getting the benefit of extracting the inter-view redundancy, a new technique is suggested in this paper. The complexity of choosing the reference frames for different views is simplified. Starting with the camera placed in the center of the scene and predicting its frames from the left, right and the middle view, a map table is created per MB (Macro Block). This map table is simply extended to all the other views for respective inter-view prediction. This method of inter-view prediction applies the best for low to medium motion pictures. The co
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Coloquit, Lorie Mae P., Luningning A. Canabal, and Mark Philip C. Paderan. "Improving Students’ English Writing Proficiency through Interactive Writing Technique." Journal of English Education and Linguistics 1, no. 1 (2020): 72–81. http://dx.doi.org/10.56874/jeel.v1i1.50.

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One of the active skills required not only in the field of academe for students but also in the industry world with degree holder employees that cause predicament in both areas is writing. Writing is one of the hurdles of different companies with their degree holder employees. Similarly, in the context of the academe, it is also found by previous studies that students are coping in writing academic essays and other writing outputs. The study aims to determine the effectiveness of interactive writing technique in intensifying basic writing skills to produce competent employees both in the acade
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Zhou, Shenghan, Chaofan Wei, Chaofei Song, et al. "A Hybrid Deep Learning Model for Short-Term Traffic Flow Pre-Diction Considering Spatiotemporal Features." Sustainability 14, no. 16 (2022): 10039. http://dx.doi.org/10.3390/su141610039.

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Traffic flow prediction is one of the basic, key problems with developing an intelligent transportation system since accurate and timely traffic flow prediction can provide information support and decision support for traffic control and guidance. However, due to the complex characteristics of traffic information, it is still a challenging task. This paper proposes a novel hybrid deep learning model for short-term traffic flow prediction by considering the inherent features of traffic data. The proposed model consists of three components: the recent, daily and weekly components. The recent com
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Wahyuningsih, Fitri Marliyah, and Sendi Fauzi Giwangsa. "Efektivitas Penggunaan Media Visual terhadap Keterampilan Menulis Puisi Siswa Sekolah Dasar." AS-SABIQUN 7, no. 1 (2025): 61–72. https://doi.org/10.36088/assabiqun.v7i1.5556.

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Writing poetry is often considered challenging for elementary school students due to a lack of imagination, mastery of diction, and limited use of relevant teaching media. This study aims to examine the effectiveness of using visual media in improving the poetry writing skills of elementary school students. The study employed a quantitative approach with a pre-experimental "one group pretest-posttest" design involving a sample of 9 fifth-grade students from SDN Baros Mandiri 5, selected randomly. Data were collected through pretests and posttests using a poetry writing assessment rubric that i
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Adisti Putri Aryani, Ilfina Muttaqwiyatul Qudsiyyah, and Muhammad Ilham Wijaya. "Menelaah Simbolisme Dan Makna Cinta Dalam Syair “Mu’allaqat” Karya Imru’ Al-Qais." Jurnal Riset Multidisiplin Edukasi 2, no. 6 (2025): 293–305. https://doi.org/10.71282/jurmie.v2i6.446.

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This study aims to explore the symbolism and meaning of love in the poem Mu’allaqat by Imru’ al-Qais, one of the greatest poets in pre-Islamic Arabic literature. Using a qualitative approach with a library research method, this research analyzes the original Arabic text and relevant scholarly sources to uncover how love is represented through diction and poetic symbols. The findings indicate that love in Imru’ al-Qais’ poetry is portrayed as an all-encompassing emotional experience, filled with longing, sacrifice, and existential reflection. Natural symbols such as winds, traces of the camp, t
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Tesis sobre el tema "Erreurs de prédiction"

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Mourier, Frédéric. "Analyse des erreurs de production des voyelles orales du français dans des tâches de répétition et de lecture auprès d’un public d’étudiants-es saoudiens-nes de F.L.E." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAL020.

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Cette étude se situe dans le domaine de la didactique de la prononciation en FLE en observant les erreurs de confusions phonético-phonologiques d’apprenants saoudiens. L’approche descriptive de la variation interphonologique à travers la constitution d’un corpus oral s’inscrit dans le cadre du projet IPFC (Detey & Kaxaguchi, 2008 ; Racine et al., 2012). Le projet IPFC-Arabe fournit des études pour différents groupes dialectaux (Abou Haidar, 2016), mais il existe peu d’études sur l’arabe saoudien (Al-Shihri, 2002). Le protocole de recueil des données utilise la liste de 69 mots du pro
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Lo, Gwo Hong, and 羅國宏. "Application of Recurrent Neural Networks to Stock Price Pre- diction." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/88113605313407084607.

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Chang, Hsuan-Yun, and 張瑄芸. "The sequentially-learning-based algorithm and the pre-diction of the turning points of bull and bear markets." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/898m8v.

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碩士<br>國立政治大學<br>資訊管理學系<br>107<br>In the field of machine learning, there is a challenge to the Artificial Neural Networks (ANN) application whose input values are real numbers and the output values are binary. Whether any of ANN learning algorithms can solve the overfitting problem, while it can perfectly learn all of training data. Besides, the problem of outlier detection in the concept environment is becoming an issue. The nature data now has the dynamic and unstable property in the concept drifting environment. To address the aforementioned challenge, this study proposes the DSM (Decision
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Chen, Ying-Chern, and 陳營誠. "Study on Using Grey and RBFNN on Comparison of Pre-diction the Price of Electronic Sector Index Futures and the Finance Sector Index Futures." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/88651692460185263126.

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碩士<br>大葉大學<br>國際企業管理學系碩士在職專班<br>96<br>The goal of this study is applying Grey prediction, radial basis function neural network (RBFNN) and Grey-RBFNN to predict the price of electronic sector index fu-tures and the finance sector index futures, and to compare their prediction accuracies. Grey model is a simple approach with acceptable prediction accuracy whereas radial basis function neural network is a tedious manipulation with high prediction accuracy. The new model Grey-RBFNN combining Grey and RBFNN is proposed and tested. It utilizes the GM(1,1) prediction as one of the RBFNN inputs. Pred
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Benmessaoud, Sirine. "Metalinguistic knowledge of second language pre-service teachers and the quality of their written corrective feedback : what relations?" Thesis, 2020. http://hdl.handle.net/1866/24553.

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Cette étude quantitative vise à 1) mesurer les connaissances métalinguistiques des futurs enseignants, 2) décrire la qualité de la rétroaction corrective écrite (RCÉ) des futurs enseignants de français langue seconde (FLS), et 3) examiner la relation entre les connaissances métalinguistiques des futurs enseignants et la qualité de leur rétroaction corrective à l’écrit. Un groupe de 18 futurs enseignants de français langue seconde inscrit dans le programme de formation initiale des maîtres à Montréal a participé à l'étude. Les participants ont accompli 1) une tâche d’analyse de phrases pour me
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Libros sobre el tema "Erreurs de prédiction"

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Beauchamp, G. M. An accurate numerical technique for determining flight test rate gyroscope biases prior to takeoff =: Technique nume rique pre cise pour de terminer les erreurs syste matiques des gyrome tres d'essai en vol avant le de collage. National Research Council Canada, 1989.

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Templar, Richard. The Rules of Work. Pearson Education, 2008.

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Templar, Richard. The rules of work: The unspoken truth about getting ahead in business. Prentice Hall, 2005.

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Tissandier, Alex. Affirming Divergence. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474417747.001.0001.

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Leibniz is a constant, but often overlooked, presence in Deleuze’s philosophy. This book explains three key moments in Deleuze’s philosophical development through the lens of his engagement with Leibniz. In doing so it hopes to offer a focused framework for understanding some of the most difficult aspects of Deleuze’s philosophy. Part One examines Deleuze’s account of the “anti-Cartesian reaction” of Spinoza and Leibniz which culminates in their two competing theories of expression. It argues that in some key respects Deleuze favours Leibniz’s interpretation of this key concept over Spinoza’s.
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Capítulos de libros sobre el tema "Erreurs de prédiction"

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Chaturvedi, Sarthak, S. Deepak, Dhivya Bharathi, and Bhargava Rama Chilukuri. "Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors." In Proceedings of the Sixth International Conference of Transportation Research Group of India. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4204-4_23.

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Lapidge, Michael. "Poeticism in Pre-Conquest Anglo-Latin Prose." In Aspects of the Language of Latin Prose. British Academy, 2005. http://dx.doi.org/10.5871/bacad/9780197263327.003.0016.

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This chapter is primarily concerned with Anglo-Latin prose: that is to say, Latin prose composed in Anglo-Saxon England between roughly 650 and 1050. It poses the question of the extent to which Anglo-Latin authors were aware of different stylistic registers, and how well they understood what diction was appropriate to either prose or verse. Using the example of Bede as a starting point, the chapter provides a list of those features of poetic diction that are found, in varying degrees, in the authors of Anglo-Latin prose. The seven criteria presented provide a crude measuring-stick against whi
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Willis, Sheilesha R., Gloria L. Sweida, Stephanie Glassburn, Cynthia L. Sherman, and Michelle C. Bligh. "Charismatic and Affective Rhetoric in a Presidential Campaign." In Advances in Linguistics and Communication Studies. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5003-9.ch007.

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Although prior research demonstrates that charisma and rhetoric are two determinants of voting behavior, few studies have examined the effects of charismatic rhetoric and affect as they pertain to the outcomes of presidential elections. Using DICTION software for content analysis, 432 pre-convention speeches from the 2008 presidential election were analyzed to explore the effects that charismatic rhetoric and affect have on presidential candidates’ success. Results indicate that there were more similarities than differences in the charismatic and affect-laden rhetoric of successful and unsucce
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Naseer Tayyeba, Asghar Sohail, Zhuang Yan, and Fong Simon. "A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-503-6-304.

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The decision tree is an illustrious classification technique used for the pre-diction of the future data based on past experience. The decision tree is constructed using three major steps, first &amp;ndash; constructing the decision tree to classify the data, second &amp;ndash; pruning the decision tree to improve statistic certainty, third process the pruned decision tree to improve intelligibility. In this paper, we focus on second steps &amp;ndash; pruning. Two famous algorithms are used for creating a decision tree, i.e. C4.5 and fuzzy C4.5. It presents the comparison of five well-known pr
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Bricout, Shirley. "Biblical Aesthetics." In The Edinburgh Companion to D. H. Lawrence and the Arts. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474456623.003.0008.

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Biblical stories, tropes and images, and also the diction and syntax of the King James Version, are manifest throughout Lawrence’s oeuvre at the levels of form, plot and character. By approaching formal and thematic borrowings through the prism of recent developments in studies of Biblical aesthetics, this chapter demonstrates how Lawrence’s textual dynamics proceed from a sustained dialogue with the Bible that both demotes conventional beliefs and articulates his vision of the world. First, Lawrence’s pervasive use of Old Testament features and Hebrew poetry is reassessed to show how he value
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Davidson, Donald. "Turing’s Test." In Modelling the Mind. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198249733.003.0001.

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Abstract In the October 1950 issue of Mind A. M. Turing predicted that by the year 2000 it will be possible to build a computer that will have at least a 30 per cent chance of fooling an average inter rogator into thinking it is a person (Turing 1950). Given that Turing allowed his interrogator only a five-minute interview, and given the further conditions he placed on the test, he was probably right. But the interest of the article lies not in this pre diction: it lies in the test itself, for the test is designed to throw light on the nature of thought. I propose in this paper to consider how
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Tanford, Charles, and Jacqueline Reynolds. "Introduction." In Robots Nature’s. Oxford University PressOxford, 1991. http://dx.doi.org/10.1093/oso/9780198504665.003.0001.

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Abstract In September 2000, about the time that the manuscript for this book was being completed, the National Institute of General Medical Sciences, part of the US National Institutes of Health, launched the largest explicit molecular project of all time, aiming to solve the three-dimensional structures of 10 000 proteins. The goal is to do this not for just any 10 000 proteins, but to select ones that would represent identifiable protein families, each family representing a group with similar physiological function and/or gene similarities—proteins expected to be sufficiently closely related
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Clifford, Tony. "Solubilities of involatile substances." In Fundamentals of Supercritical Fluids. Oxford University PressOxford, 1998. http://dx.doi.org/10.1093/oso/9780198501374.003.0003.

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Abstract This chapter considers the behaviour and prediction of the solubility of compounds of higher molar mass, often solids, in supercritical fluids. The solubility of relatively large molecules in supercritical fluids is an important topic, which has been the subject of a large number of experimental and theoretical studies. Good data on solubilities are important in designing supercritical fluid processes, particularly supercritical fluid fractionation, as described in Chapter 6. This topic is a constituent part of the subject of Chapter 2, but has been separated because of its importance
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Xia, Tian, Wei Wei, Li Ding, Hua Wang, Fang Lan, and Zhenhua Li. "A Charging Power Prediction Method for Electric Vehicle Charging Facilities." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230298.

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With the gradual increase in the use of electric vehicles, it has brought a huge impact on the load distribution of the power grid. In order to solve the problem of power grid load imbalance caused by the continuous development of the electric vehicle market, this paper establishes a prediction model of electric vehicle charging power based on Bi-LSTM. The historical data of charging power is trained to predict the power demand of a day, calculate the difference between the actual power demand and the predicted power demand, and use the normalized root mean square error as the pre-diction eval
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Tissandier, Alex. "A Leibnizian World." In Affirming Divergence. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474417747.003.0005.

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This chapter uses concepts from Leibniz’s philosophy to provide an account of the metaphysical system Deleuze constructs in Difference and Repetition and Logic of Sense. This account has four key components. 1) An ideal continuum populated by reciprocally determined differential relations, from which individuals are produced. Leibniz’s infinitesimal calculus is the technique most suited to describe this continuum. 2) The singularities or events which populate the continuum and which eventually form the “predicates” which are included within individuals. An inverted version of Leibniz’s theory
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Actas de conferencias sobre el tema "Erreurs de prédiction"

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Song, Lianteng, Zhonghua Liu, Chaoliu Li, et al. "PREDICTION AND ANALYSIS OF GEOMECHANICAL PROPERTIES OF JIMUSAER SHALE USING A MACHINE LEARNING APPROACH." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0089.

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Geomechanical properties are essential for safe drilling, successful completion, and exploration of both conven-tional and unconventional reservoirs, e.g. deep shale gas and shale oil. Typically, these properties could be calcu-lated from sonic logs. However, in shale reservoirs, it is time-consuming and challenging to obtain reliable log-ging data due to borehole complexity and lacking of in-formation, which often results in log deficiency and high recovery cost of incomplete datasets. In this work, we propose the bidirectional long short-term memory (BiL-STM) which is a supervised neural net
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Gupta, Ankita, Gurunath Gurrala, and Pidaparthy S. Sastry. "Instability Prediction in Power Systems using Recurrent Neural Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/249.

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Recurrent Neural Networks (RNNs) can model temporal dependencies in time series well. In this paper we present an interesting application of stacked Gated Recurrent Unit (GRU) based RNN for early prediction of imminent instability in a power system based on normal measurements of power system variables over time. In a power system, disturbances like a fault can result in transient instability which may lead to blackouts. Early pre- diction of any such contingency can aid the operator to take timely preventive control actions. In recent times some machine learning techniques such as SVMs have b
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