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Relevant bibliographies by topics / Recurrent Problems

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Journal articles

Academic literature on the topic 'Recurrent Problems'

Author: Grafiati

Published: 14 October 2023

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Journal articles on the topic "Recurrent Problems"

1

Haroun, Ansar M. "Recurrent Behavioral Problems in Children." Pediatric Annals 33, no. 5 (2004): 282–84. http://dx.doi.org/10.3928/0090-4481-20040501-04.

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2

Kotov, S. V., N. D. Korochkin, and A. A. Klimenko. "Recurrent varicocele." Vestnik Urologii 9, no. 2 (2021): 132–41. http://dx.doi.org/10.21886/2308-6424-2021-9-2-132-141.

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Abstract:

Varicocele is one of the most common problems in modern reproductive medicine. The incidence of varicocele in the structure of the general male population is 15%, 40% of which have problems with fertility. Among the causes of male infertility, varicocele ranks second after idiopathic, thus being the most common curable cause of male infertility. While researching the pathophysiological mechanisms of infertility in varicocele, the question of the reasons for the varicocele relapses, both after surgical and endovascular methods of treatment remains open, as well as the tactics of managing such patients. The review aimed to systematize knowledge about the problem of recurrent varicocele, to analyze the frequency and etiology of relapses after various methods of primary treatment, as well as to select the optimal diagnostic and treatment option for varicocele recurrence.

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3

Safwan 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 (2023): 16–31. http://dx.doi.org/10.37934/araset.30.3.1631.

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Recurrent neural networks (RNNs) are an excellent fit for regression problems where sequential data are the norm since their recurrent internal structure can analyse and process data for long. However, RNNs are prone to the phenomenal vanishing gradient problem (VGP) that causes the network to stop learning and generate poor prediction accuracy, especially in long-term dependencies. Originally, gated units such as long short-term memory (LSTM) and gated recurrent unit (GRU) were created to address this problem. However, VGP was and still is an unsolved problem, even in gated units. This problem occurs during the backpropagation process when the recurrent network weights tend to vanishingly reduce and hinder the network from learning the correlation between temporally distant events (long-term dependencies), that results in slow or no network convergence. This study aims to provide an empirical analysis of LSTM networks with an emphasis on inefficiency in long-term dependencies convergence because of VGP. Case studies on NASA’s turbofan engine degradation are examined and empirically analysed.

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4

Baron, Tara. "Case 1: A toddler with recurrent chest problems." Paediatrics & Child Health 8, no. 6 (2003): 369–70. http://dx.doi.org/10.1093/pch/8.6.369.

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5

Costa, 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 (2013): 19–34. http://dx.doi.org/10.1080/10429247.2013.11431963.

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6

Borges, E., N. H. T. Lemes, and J. P. Braga. "Force field inverse problems using recurrent neural networks." Chemical Physics Letters 423, no. 4-6 (2006): 357–60. http://dx.doi.org/10.1016/j.cplett.2006.03.090.

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7

Rogowski, A. S. "Environmental Impact Assessment: Practical Solutions to Recurrent Problems." Journal of Environmental Quality 33, no. 2 (2004): 797. http://dx.doi.org/10.2134/jeq2004.7970.

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8

Malek, Alaeddin, and Najmeh Hosseinipour-Mahani. "Solving Multiextremal Problems by Using Recurrent Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 29, no. 5 (2018): 1562–74. http://dx.doi.org/10.1109/tnnls.2017.2676046.

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9

Pikuza, 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 (2017): 158–60. http://dx.doi.org/10.21508/1027-4065-2017-62-5-158-160.

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10

Bennett, Gary F. "Environmental Impact Assessment: Practical Solutions to Recurrent Problems." Journal of Hazardous Materials 107, no. 3 (2004): 145–46. http://dx.doi.org/10.1016/j.jhazmat.2003.12.004.

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