Academic literature on the topic 'Recurrent Problems'
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Journal articles on the topic "Recurrent Problems"
Haroun, Ansar M. "Recurrent Behavioral Problems in Children." Pediatric Annals 33, no. 5 (May 1, 2004): 282–84. http://dx.doi.org/10.3928/0090-4481-20040501-04.
Full textKotov, S. V., N. D. Korochkin, and A. A. Klimenko. "Recurrent varicocele." Vestnik Urologii 9, no. 2 (July 10, 2021): 132–41. http://dx.doi.org/10.21886/2308-6424-2021-9-2-132-141.
Full textSafwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, and Amgad Muneer. "LSTM Inefficiency in Long-Term Dependencies Regression Problems." Journal of Advanced Research in Applied Sciences and Engineering Technology 30, no. 3 (May 15, 2023): 16–31. http://dx.doi.org/10.37934/araset.30.3.1631.
Full textBaron, Tara. "Case 1: A toddler with recurrent chest problems." Paediatrics & Child Health 8, no. 6 (July 1, 2003): 369–70. http://dx.doi.org/10.1093/pch/8.6.369.
Full textCosta, Janaina M. H., Henrique Rozenfeld, Creusa Sayuri Tahara Amaral, Ricardo M. Marcacinit, and Solange Oliveira Rezende. "Systematization of Recurrent New Product Development Management Problems." Engineering Management Journal 25, no. 1 (March 2013): 19–34. http://dx.doi.org/10.1080/10429247.2013.11431963.
Full textBorges, E., N. H. T. Lemes, and J. P. Braga. "Force field inverse problems using recurrent neural networks." Chemical Physics Letters 423, no. 4-6 (June 2006): 357–60. http://dx.doi.org/10.1016/j.cplett.2006.03.090.
Full textRogowski, A. S. "Environmental Impact Assessment: Practical Solutions to Recurrent Problems." Journal of Environmental Quality 33, no. 2 (March 2004): 797. http://dx.doi.org/10.2134/jeq2004.7970.
Full textMalek, Alaeddin, and Najmeh Hosseinipour-Mahani. "Solving Multiextremal Problems by Using Recurrent Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 29, no. 5 (May 2018): 1562–74. http://dx.doi.org/10.1109/tnnls.2017.2676046.
Full textPikuza, O. I., E. V. Generalova, and F. F. Rizvanova. "Psychological problems of adolescents with recurrent respiratory infections." Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 62, no. 5 (January 1, 2017): 158–60. http://dx.doi.org/10.21508/1027-4065-2017-62-5-158-160.
Full textBennett, Gary F. "Environmental Impact Assessment: Practical Solutions to Recurrent Problems." Journal of Hazardous Materials 107, no. 3 (March 2004): 145–46. http://dx.doi.org/10.1016/j.jhazmat.2003.12.004.
Full textDissertations / Theses on the topic "Recurrent Problems"
Meister, Daniel. "The complexity of membership problems for finite recurrent systems and minimal triangulations." Doctoral thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=981745369.
Full textSingh, Jayant. "Optimization Problems Arising in Stability Analysis of Discrete Time Recurrent Neural Networks." Diss., North Dakota State University, 2016. http://hdl.handle.net/10365/25537.
Full textBell, Tannisha D. "An Examination of Race and Recurrent Substance Problems in the United States." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/9582.
Full textMaster of Science
Nakayama, Masataka. "The problems of serial order in language:Clustering, context discrimination, temporal distance, and edges." Kyoto University, 2015. http://hdl.handle.net/2433/200480.
Full textJeffrey, James Howard. "Recurrent problems in the construction process : an action research study of the design and construction quality of hospital en-suites." Thesis, University of Salford, 2010. http://usir.salford.ac.uk/26736/.
Full textCAROTA, MASSIMO. "Neural network approach to problems of static/dynamic classification." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/580.
Full textMossina, Luca. "Applications d'apprentissage automatique à la résolution de problèmes récurrents en optimisation combinatoire." Electronic Thesis or Diss., Toulouse, ISAE, 2020. http://www.theses.fr/2020ESAE0043.
Full textThe interest is on those decision problems for which an optimal or quasi-optimal solution is sought, and for which it is necessary to solve successive instances (recurrent problems) that are variations of a common original problem.The structure of such problems is analysed to identify the characteristics that can be exploited and transferred from one resolution to another, to incrementally improve the quality of the optimization process. The research is characterized by the interaction between a process of statistical learning (from optimization data) and a process of optimization. The information extracted from past resolutions is generalized to the current problem and integrated into the optimization algorithm to make its execution more resource-efficient.In particular, this thesis presents three contributions.The first, introduces a method that generates a simpler sub-problem to an instance of a recurrent problem, using multi-label classification. A subset of decision variables is selected and set to a reference value. The solution to the remaining sub-problem, while not guaranteed to be optimal for the original problem, can be obtained faster.The second employs Supervised Learning, classification and regression, to predict an additional constraint to a reference recurrent problem modelled via Mathematical Programming. When a new instance is solved, the model predicts how much of the solution to the reference problem is still applicable, allowing for a more rapid resolution.In the third, the dynamic control of the parameters of Evolutionary Algorithms is framed as a Reinforcement Learning problem. The control policies obtained guarantee that the optimization algorithm reaches an optimal solution within the shortest, average time
Bermell, Måns. "Identification of Problem Gambling via Recurrent Neural Networks : Predicting self-exclusion due to problem gambling within the remote gambling sector by means of recurrent neural networks." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159125.
Full textNielinger-Vakil, Carola. "Aphorism as a recurring problem in musical construction." Thesis, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300927.
Full textBenini, Fabriciu Alarcão Veiga. "Rede neural recorrente com perturbação simultânea aplicada no problema do caixeiro viajante." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-29042009-102601/.
Full textThis work proposes to solve the classic combinatorial optimization problem known as traveling salesman problem. A recurrent neural network was used in the system of optimization to search the shorter path. The structural topology linking the feedbacks of the network adopted here is known by Wang recurrent network. As learning rule to find the appropriate values of the weights was used the simultaneous perturbation with stochastic approximation. A detailed bibliographical revision on multivariable optimization with simultaneous perturbation is also described. Comparative results with other different techniques applied to the traveling salesman are still presented for validation purposes.
Books on the topic "Recurrent Problems"
UNICEF, ed. Problems and priorities regarding recurrent costs. New York, N.Y., USA (3 UN Plaza, New York 10017): UNICEF, 1988.
Find full textUNICEF, ed. Problems and priorities regarding recurrent costs. New York: UNICEF, 1988.
Find full textEnvironmental impact assessment: Practical solutions to recurrent problems. Hoboken, NJ: John Wiley & Sons, 2003.
Find full textLawrence, David P. Impact assessment: Practical solutions to recurrent problems and contemporary. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013.
Find full textPresidential accountability: New and recurring problems. New York: Greenwood Press, 1990.
Find full textAnthony, Jennings. The world food programme and the recurrent cost problem. Rome: World Food Programme, 1988.
Find full textJennings, Anthony. The World Food Programme and the recurrent cost problem. Rome: World Food Programme, 1987.
Find full textKay, Loveland Genevra, and Federal Judicial Center, eds. Manual on recurring problems in criminal trials. 5th ed. Washington, DC (One Columbus Circle, N.E., Washington 20002-8003): Federal Judicial Center, 2001.
Find full textVoorhees, Donald S. Manual on recurring problems in criminal trials. 3rd ed. Washington, D.C. (1520 H. St., N.W., Washington 20005): Federal Judicial Center, 1990.
Find full textKay, Loveland Genevra, Markarian Kris, and United States. Department of Justice. Office of Legal Education, eds. Manual on recurring problems in criminal trials. 4th ed. Washington, D.C.?]: Office of Legal Education, 1997.
Find full textBook chapters on the topic "Recurrent Problems"
Srouji, Elias, Kendall Stanford, and Roger Thompson. "Recurrent Nonemergent Problems." In Oklahoma Notes, 61–75. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4006-8_4.
Full textSrouji, Elias, Kendall Stanford, and Roger Thompson. "Recurrent Nonemergent Problems." In Oklahoma Notes, 219–34. New York, NY: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-0450-0_19.
Full textVolterra, V., and G. Martini. "Psychotherapeutic Problems in Chronic and Resistant Depressions." In Recurrent Mood Disorders, 298–300. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-76646-6_35.
Full textLanday, Melanie, and Richard J. Paulson. "Recurrent Pregnancy Loss." In Management of Common Problems in Obstetrics and Gynecology, 472–77. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444323030.ch106.
Full textSchou, M. "Testing Efficacy and Safety of Long-Term Treatment in Manic-Depressive Illness: Past and Present Problems." In Recurrent Mood Disorders, 137–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-76646-6_16.
Full textRatha, Chinmayee, and Ashok Khurana. "Recurrent Fetal Problems: Looking for Solutions." In Fetal Medicine, 155–60. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6099-4_14.
Full textNordberg, Donald. "The Problems and Remedies in Corporate Governance." In The Cadbury Code and Recurrent Crisis, 15–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55222-0_2.
Full textMunday, P. E. "Persistent and recurrent non-gonococcal urethritis." In Clinical Problems in Sexually Transmitted Diseases, 15–35. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5014-6_2.
Full textMeltzer, Lisa J., and Valerie McLaughlin Crabtree. "Nighttime fears, anxiety, and recurrent nightmares." In Pediatric sleep problems: A clinician's guide to behavioral interventions., 119–41. Washington: American Psychological Association, 2015. http://dx.doi.org/10.1037/14645-009.
Full textMessina, Nicola, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, and Fabrizio Falchi. "Recurrent Vision Transformer for Solving Visual Reasoning Problems." In Image Analysis and Processing – ICIAP 2022, 50–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06433-3_5.
Full textConference papers on the topic "Recurrent Problems"
Symyk, M., I. Prudyus, and M. Ficac. "Multiphase Recurrent Signals Systems V." In 2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science. IEEE, 2006. http://dx.doi.org/10.1109/tcset.2006.4404517.
Full textXiaolin Hu and Jun Wang. "A Recurrent Neural Network for Solving Nonconvex Optimization Problems." In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.247077.
Full textXunlin, Zhu,. "New Delay-Dependent Stability Results for Discrete-Time Recurrent Neural Networks with Time-Varying Delay." In Information Control Problems in Manufacturing, edited by Bakhtadze, Natalia, chair Dolgui, Alexandre and Bakhtadze, Natalia. Elsevier, 2009. http://dx.doi.org/10.3182/20090603-3-ru-2001.00076.
Full textCheng, Long, Zeng-Guang Hou, Min Tan, Xiuqing Wang, Zengshun Zhao, and Sanqing Hu. "A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371024.
Full textYefimenko, Serhiy, and Volodymyr Stepashko. "Intelligent recurrent-and-parallel computing for solving inductive modeling problems." In 2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE). IEEE, 2015. http://dx.doi.org/10.1109/cpee.2015.7333385.
Full textVasconcelos, I., H. Peng, M. Ravasi, and D. Kuijpers. "Deep Learning in Seismic Inverse Problems with Recurrent Inference Machines." In 83rd EAGE Annual Conference & Exhibition Workshop Programme. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202211146.
Full textLudolfinger, Ulrich, Daniel Zinsmeister, Vedran S. Perić, Thomas Hamacher, Sascha Hauke, and Maren Martens. "Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems." In 2023 IEEE Belgrade PowerTech. IEEE, 2023. http://dx.doi.org/10.1109/powertech55446.2023.10202844.
Full textTurchenko, Volodymyr. "Fine-Grain Parallelization of Recurrent Neural Networks Training." In 2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science. IEEE, 2006. http://dx.doi.org/10.1109/tcset.2006.4404497.
Full textCheng, Long, Zeng-Guang Hou, Noriyasu Homma, Min Tan, and Madam M. Gupta. "Solving convex optimization problems using recurrent neural networks in finite time." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5178723.
Full textVellasques, Eduardo, Robert Sabourin, and Eric Granger. "Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems." In the fourteenth international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2330163.2330174.
Full textReports on the topic "Recurrent Problems"
Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.
Full textWhite, William. What Next for the Post Covid Global Economy: Could Negative Supply Shocks Disrupt Other Fragile Systems? Institute for New Economic Thinking Working Paper Series, January 2023. http://dx.doi.org/10.36687/inetwp199.
Full textRomero Alba, Sergio, and Raquel Barco Moreno. Análisis Topológico de Datos en la Clasificación Automática de Fallos en Redes de Comunicaciones. Fundación Avanza, May 2023. http://dx.doi.org/10.60096/fundacionavanza/2522022.
Full textPineda-Mendez, Raul A., Xueqian Shi, and Andrew P. Tarko. Speed Management on Freeways in Transition Zones Between Rural and Urban Conditions. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317586.
Full textSvedeman. L51729 Gas Scrubber Performance Evaluation - Measurement Methods. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 1995. http://dx.doi.org/10.55274/r0010420.
Full textHackbarth, Carolyn, and Rebeca Weissinger. Water quality in the Northern Colorado Plateau Network: Water years 2016–2018 (revised with cost estimate). National Park Service, November 2023. http://dx.doi.org/10.36967/nrr-2279508.
Full textVargas-Herrera, Hernando, Juan José Ospina, Carlos Alfonso Huertas-Campos, Adolfo León Cobo-Serna, Edgar Caicedo-García, Juan Pablo Cote-Barón, Nicolás Martínez-Cortés, et al. Informe de Política Monetaria - Julio de 2021. Banco de la República de Colombia, August 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3.-2021.
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