Réalité féminine et fantasme poétique : Nerval entre critique littéraire et statistique lexicale by Mohamed El-Himer

“…Celle-ci conclue, en effet, que les représentations féminines dépeintes au sein de l'œuvre littéraire de Gérard de Nerval, intitulée Voyage en Orient, demeurent inaccessibles. …”
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Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management by Dan Liu, Xuefei Zheng, Chunqian Dai

“…In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.…”
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Forecasting energy production of a PV system connected by using NARX neural network model by Marwa M. Ibrahim, Amr A. Elfeky, Amal El Berry

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Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

“…In this paper, two models were proposed to predict the Iraqi stock markets index through the use of artificial neural networks (ANN) and a long short-term memory (LSTM) algorithm where Iraqi stock market data were used from 2017 to 2021 and good results were achieved in the prediction where the long short-term memory (LSTM) algorithm reached a mean square error (MSE) rate of as little as 0.0016 while the artificial neural network (ANN) algorithm reached error rate 0.0055. …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

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Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks by Roger A. Kemp, Calum MacAulay, David Garner, Branko Palcic

“…Using statistical models such as neural networks and discriminant functions it is possible to design classifiers that can separate these objects from truly normal cells. …”
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Tracking Control Based on Recurrent Neural Networks for Nonlinear Systems with Multiple Inputs and Unknown Deadzone by J. Humberto Pérez-Cruz, José de Jesús Rubio, E. Ruiz-Velázquez, G. Solís-Perales

“…Subsequently, by a proper control law, the state of the neural network is compelled to follow a bounded reference trajectory. …”
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Could LC-NE-Dependent Adjustment of Neural Gain Drive Functional Brain Network Reorganization? by Carole Guedj, David Meunier, Martine Meunier, Fadila Hadj-Bouziane

“…Neural Plasticity…”
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Molecular Identification of Fungal Communities in a Soil Cultivated with Vegetables and Soil Suppressiveness to Rhizoctonia solani by Silvana Pompéia Val-Moraes, Eliamar Aparecida Nascimbem Pedrinho, Eliana Gertrudes Macedo Lemos, Lucia Maria Carareto-Alves

“…Molecular methods have been used to assess fungal communities giving a more realistic view of their diversity. …”
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Novel Pattern of Iron Deposition in the Fascicula Nigrale in Patients with Parkinson’s Disease: A Pilot Study by Miriam E. Peckham, Khashayar Dashtipour, Barbara A. Holshouser, Camellia Kani, Alex Boscanin, Kayvan Kani, Sheri L. Harder

“…Regions of interest were drawn around the fascicula nigrale and substantia nigra using SWI mapping software by blinded investigators. …”
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The Normalized Laplacians, Degree-Kirchhoff Index, and the Complexity of Möbius Graph of Linear Octagonal-Quadrilateral Networks by Jia-Bao Liu, Qian Zheng, Sakander Hayat

“…The normalized Laplacian plays an indispensable role in exploring the structural properties of irregular graphs. …”
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Correction: Correction: A neural network model for online one-shot storage of pattern sequences. by PLOS One Staff

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A Normal Appearing Duodenal Papilla in Familial Polyposis Need to be Biopsied: A Case Report by Franzjosef Schweiger, Jasim Radhi, Roger M Roberge

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Le temps éclaté : Why Be Happy When You Could Be Normal? De Jeanette Winterson by Jean-Michel Ganteau

“…This article reads Why Be Happy When You Could Be Normal? in the light of Oranges Are not the Only Fruit. …”
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Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks by J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

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Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network by Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang

“…The training sample of the BP neural network is selected by threshold determination. …”
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A Frequency Domain Method for the Generation of Partially Coherent Normal Stationary Time Domain Signals by David O. Smallwood, Thomas L. Paez

“…Successive frames of data are then windowed, overlapped, and added to form a vector of normal stationary sampled time histories, {X(t)}, of arbitrary length.…”
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Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning by Jianbing Lv, Weijun Wu, Xiaoyu Kang, Juan Huang, Gongfa Chen, Shuai Teng, Hejie Gao

“…This paper studies an algorithm for the automatic classification of drainage hole blockage degree based on convolutional neural network transfer learning to explore the intelligent detection method of drainage hole blockage. …”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

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