The Difference of Vitamin D and Calcium Levels in Preeclampsia and Normal Pregnancy by Lola Pebrianthy, Nurelilasari Siregar, Ayusdiningsih

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Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

“…In particular, solutions based on hydraulic-based graph neural networks (SWE-GNNs) enable transferability to domains not used for training and allow the inclusion of physical constraints. …”
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Calibration of Swarm Plasma Densities Overestimation Using Neural Networks by Artem Smirnov, Yuri Shprits, Hermann Lühr, Alessio Pignalberi, Chao Xiong

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Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays by Jianting Zhou, Qiankun Song, Jianxi Yang

“…The passivity problem is investigated for a class of stochastic uncertain neural networks with time-varying delay as well as generalized activation functions. …”
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Evaluation of topical 1% posaconazole therapy in refractory fungal keratitis by Murugesan Vanathi, Devendra K Yadav, Thirumurthy Velpandian, Nishat Hussain Ahmed, Manu Muraleekrishna, Abhijeet Beniwal, Neiwete Lomi, Noopur Gupta, Radhika Tandon, Maroof A Khan

Subjects: “…anti-fungal susceptibility testing…”
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Generation a shared secret using artificial neural networks by U. F. Holikau, M. L. Radziukevich

Subjects: “…synchronized artificial neural networks…”
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Neural Network Predictive Control for Vanadium Redox Flow Battery by Hai-Feng Shen, Xin-Jian Zhu, Meng Shao, Hong-fei Cao

“…This paper presents a neural network predictive control scheme to enhance the overall performance of the battery. …”
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Static Hand Gesture Recognition Based on Convolutional Neural Networks by Raimundo F. Pinto, Carlos D. B. Borges, Antônio M. A. Almeida, Iális C. Paula

“…Training and testing are performed with different convolutional neural networks, compared with architectures known in the literature and with other known methodologies. …”
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An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules by Armand, André Totohasina, Daniel Rajaonasy Feno

“…Indeed, it cannot normalize some interestingness measures which are explained below. …”
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Retracted: On Fundamental Algebraic Characterizations of μ-Fuzzy Normal Subgroups by Journal of Function Spaces

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Dynamics of Fuzzy BAM Neural Networks with Distributed Delays and Diffusion by Qianhong Zhang, Lihui Yang, Jingzhong Liu

“…Constructing a new Lyapunov functional and employing inequality technique, the existence, uniqueness, and global exponential stability of the periodic oscillatory solution are investigated for a class of fuzzy bidirectional associative memory (BAM) neural networks with distributed delays and diffusion. …”
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Neural Correlates of Irritability and Potential Moderating Effects of Inhibitory Control by Mariah DeSerisy, Jacob W. Cohen, Huiyu Yang, Bruce Ramphal, Paige Greenwood, Kahini Mehta, Michael P. Milham, Theodore D. Satterthwaite, David Pagliaccio, Amy E. Margolis

“…Furthermore, better inhibitory control has been linked to lower irritability and differential neural functioning among irritable youth, suggesting that good inhibitory control may serve as a protective factor. …”
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Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm by Junxi Zhang, Shiru Qu

“…This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN model in nonlinear issues. …”
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Complication of Salmonella Bacteremia in a Case of Treated Fungal Endophthalmitis by J. Malathi, M. Sowmiya, Vikas Khetan, K. Lily Therese, H. N. Madhavan

“…This is to report a case of bacteremia caused by Salmonella typhi in a treated unilateral fungal endogenous endophthalmitis in an 18-year-old male from one of the South Asian countries. …”
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A limit theorem for zeta-functions of normalized cusp forms by Antanas Laurinčikas

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Multi-view graph neural network for fraud detection algorithm by Zhuo CHEN, Miao ZHU, Junwei DU

“…Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view graph neural network for fraud detection (MGFD) algorithm was proposed.First, A structure-independent encoder was used to encode the attributes of nodes in the network to learn the difference between the fraud node and the normal node.The hierarchical attention mechanism was designed to integrate the multi-view information in the network, and made full use of the interaction information between different perspectives in the network to model the nodes on the basis of learning differences.Then, based on the data imbalance ratio sampled subgraph, the sample was constructed according to the connection characteristics of fraud nodes for classification, which solved the problem of imbalance sample labels.Finally, the prediction label was used to identify whether a node is fraudulent.Experiments on real-world datasets have shown that the MGFD algorithm outperforms the comparison method in the field of graph-based fraud detection.…”
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Bearing Defect Classification Algorithm Based on Autoencoder Neural Network by Manhuai Lu, Yuanxiang Mou

“…Comparative experiments show that the neural network can effectively complete feature selection and substantially improve classification accuracy while avoiding the laborious algorithm of the conventional method.…”
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Normal Values of Metatarsal Parabola Arch in Male and Female Feet by Gabriel Domínguez-Maldonado, Pedro V. Munuera-Martinez, José Manuel Castillo-López, Javier Ramos-Ortega, Manuel Albornoz-Cabello

“…The aim of this research is to know the normal metatarsal parabola in male and female feet. …”
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STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK by LI YongHua, CHEN Peng, TIAN ZongRui, CHEN ZhiHao

Subjects: “…BP neural network…”
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Hopfield Neural Network Approach to Clustering in Mobile Radio Networks by Jiang Yan, Li Chengshu(Northern Jiaotong University, Beijing 100044)

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