Theta function identities from optical neural network transformations by E. Elizalde, A. Romeo

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Preliminary Investigation of the Mechanical Anisotropy of the Normal Human Corneal Stroma by Chao Xue, Yaoqi Xiang, Min Shen, Di Wu, Yan Wang

“…To investigate the anisotropic characteristics of the normal human corneal stroma using fresh corneal tissue. …”
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Ameloblastic Fibroodontoma of the Mandible with Normal Karyotype in a Pediatric Patient by Esther Manor, Elena Kan, Lipa Bodner

“…Histopathology was a classic AFO. The karyotype was normal. No recurrence was noted at 12 months. Conclusions. …”
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Specialized Fungal Parasites and Opportunistic Fungi in Gardens of Attine Ants by Fernando C. Pagnocca, Virginia E. Masiulionis, Andre Rodrigues

“…Many fungal parasites may have small impacts on the ants' fungal colony when the colony is balanced, but then may opportunistically shift to having large impacts if the ants' colony becomes unbalanced.…”
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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

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Some considerations on the “new normal” postcovid-19 medical care by Roberto Álvarez Sintes

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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

Subjects: “…neural networks…”
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

“…Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural networks. …”
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Fungal infections in the era of COVID-19: Time to awaken to the Titanic by Nidhi Singla, Yashik Bansal

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Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida by Jennifer L. Gillett-Kaufman, Sandra A. Allan, Jonael H. Bosques-Mendez, Lyle J. Buss

“…ENY-871/IN1046: Pests and Fungal Organisms Identified on Olives (Olea europaea) in Florida (ufl.edu) …”
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Ship Pipe Layout Based on Grid Normalized Astar Algorithm by LIN Yan, ZHANG Qiaoyu, LOU Jiandi

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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…Abstract Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. …”
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Burial customs and the pollution of death in ancient Rome: procedures and paradoxes by Francois P. Retief, Louise Cilliers

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Diastematomyelia: A Case with Familial Aggregation of Neural Tube Defects by Nuray Öksüz Kanbur, Pınar Güner, Orhan Derman, Nejat Akalan, Ayşenur Cila, Tezer Kutluk

“…Intrauterine neural tube defects, meningomyelocele, and diastematomyelia are developmental errors at different stages of the closure of the neural tube. …”
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Characterization Theorems for Generalized Functionals of Discrete-Time Normal Martingale by Caishi Wang, Jinshu Chen

“…We aim at characterizing generalized functionals of discrete-time normal martingales. Let M=(Mn)n∈N be a discrete-time normal martingale that has the chaotic representation property. …”
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Robust Semiparametric Optimal Testing Procedure for Multiple Normal Means by Peng Liu, Chong Wang

“…Some of these methods can be shown to achieve the optimal average power across genes, but only under a normal assumption of alternative means. However, the assumption of a normal distribution is likely violated in practice. …”
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Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
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Model Error Correction in Data Assimilation by Integrating Neural Networks by Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo

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EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE by Ayça Sarıalioğlu Hayali, Hasan Babacan

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Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

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