Comparison of Controlled Ovarian Stimulation Protocols on IVF Outcome in Normal and Poor Responders by Deniz Esinler, Fazilet Kübra Boynukalın, İbrahim Esinler, Tarık Aksu

“…CONCLUSION: There is insufficient evidence to recommend GnRH agonist or GnRH antagonist protocols for patients considered “normal’ and ‘poor responder’. …”
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Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties by Shuoye Chen, Shunsuke Sakai, Miyuki Matsuo-Ueda, Kenji Umemura

Subjects: “…Convolutional neural network…”
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Modeling and Simulation of Real Estate Valuation Based on Genetic Neural Network Model by Shuli Shen

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Identification of robust and abundant reference transcripts for EV mRNA cargo normalization by Antje M. Zickler, Radosław Grochowski, André Görgens, Erik Bäcklin, Maximilian Kordes, J.-Matthias Löhr, Joel Z. Nordin, Samir EL Andaloussi, Daniel W. Hagey

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Dynamics in a Delayed Neural Network Model of Two Neurons with Inertial Coupling by Changjin Xu, Peiluan Li

“…A delayed neural network model of two neurons with inertial coupling is dealt with in this paper. …”
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Sustainability metrics targeted optimization and electric discharge process modelling by neural networks by Muhammad Sana, Muhammad Asad, Muhammad Umar Farooq, Mehdi Tlija, Rodolfo Haber

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Almost Sure Stability of Stochastic Neural Networks with Time Delays in the Leakage Terms by Mingzhu Song, Quanxin Zhu, Hongwei Zhou

“…The stability issue is investigated for a class of stochastic neural networks with time delays in the leakage terms. …”
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Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

“…In this study, researchers explored a nonparametric analysis of inter‐individual relations using a neural network with the attention mechanism, which plays a central role in natural language processing. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

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LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays by Hui Xu, Ranchao Wu

“…Discrete neural models are of great importance in numerical simulations and practical implementations. …”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

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Multistability and Instability of Competitive Neural Networks with Mexican-Hat-Type Activation Functions by Xiaobing Nie, Jinde Cao, Shumin Fei

“…We investigate the existence and dynamical behaviors of multiple equilibria for competitive neural networks with a class of general Mexican-hat-type activation functions. …”
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Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks by Huisheng Zhang, Chao Zhang, Wei Wu

“…The batch split-complex backpropagation (BSCBP) algorithm for training complex-valued neural networks is considered. For constant learning rate, it is proved that the error function of BSCBP algorithm is monotone during the training iteration process, and the gradient of the error function tends to zero. …”
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Conditional value-at-risk bounds for compound Poisson risks and a normal approximation by Werner Hürlimann

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Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management by Zhuojie Li

“…According to the BP neural network algorithm, for the problem that the input variables of the BP network cannot be automatically optimized during the modeling process of the multivariable complex system, it is used to establish a neural network optimization algorithm according to the gray correlation analysis (GM2 BPANN). …”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…., recurrent neutral networks and graph neural networks, have been proposed for weather forecasting. …”
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Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…The aim of this project is to develop a dual convolutional neural network for ensemble learning based on the initial model and the res network model, and apply the ensemble model to the rice classification problem. …”
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Numerical Study on the Behavior of Square Stiffened Caissons Penetrating into Normally Consolidated Clay by Wei Liu, Zhihuai Huang, Mi Zhou

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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

“…Based on a suitable network topology and transfer function, the presented work proposes an algorithm for training radial basis function neural networks (RBFNNs) that is applied to the problem of channel equalization. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

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