Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…In this paper, we introduce Neon (Neural Epistemic Operator Networks), an architecture for generating predictions with uncertainty using a single operator network backbone, which presents orders of magnitude less trainable parameters than deep ensembles of comparable performance. …”
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Biosorption of Arsenic(III) from Aqueous Solutions by Modified Fungal Biomass of Paecilomyces sp. by Ismael Acosta Rodríguez, Víctor M. Martínez-Juárez, Juan F. Cárdenas-González, María de Guadalupe Moctezuma-Zárate

“…The biosorption of As(III) on iron-coated fungal biomass of Paecilomyces sp. was studied in this work. …”
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BCL6 (B-cell lymphoma 6) expression in adenomyosis, leiomyomas and normal myometrium. by Loreta Canivilo Salas, Bruna Mielczarski, Raquel Camara Rivero, João Sabino Lahogue da Cunha Filho, Ricardo Francalacci Savaris

“…This study investigates BCL6 expression in adenomyosis, leiomyomas, and normal myometrium using immunohistochemistry and deep learning neural networks. …”
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Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region by Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Vinicius D. Lima, Herminio S. Gomes, Gervásio P. S. Cavalcante

“…This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. …”
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Ocular and Systemic Risk Factors of Different Morphologies of Scotoma in Patients with Normal-Tension Glaucoma by Ewa Kosior-Jarecka, Dominika Wróbel-Dudzińska, Urszula Łukasik, Tomasz Żarnowski

“…The study group consisted of 215 Caucasian patients with normal-tension glaucoma with scotoma on single localisation or with preperimetric glaucoma. …”
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Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis by Wenqing Fu, Heng Liu

“…An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. …”
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Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost by Hongzhi Zhou, Gan Yu

“…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. …”
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Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation by Quentin Malé, Corentin J. Lapeyre, Nicolas Noiray

“…Our data-driven approach leverages a Convolutional Neural Network (CNN), trained to approximate filtered burning rates from emulated LES data. …”
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Real-Time Ship Motion Prediction Based on Time Delay Wavelet Neural Network by Wenjun Zhang, Zhengjiang Liu

“…A wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. …”
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A New (Related-Key) Neural Distinguisher Using Two Differences for Differential Cryptanalysis by Gao Wang, Gaoli Wang, Siwei Sun

“…At CRYPTO 2019, Gohr showed the significant advantages of neural distinguishers over traditional distinguishers in differential cryptanalysis. …”
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Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…The model of the deep Bi-LSTM neural network can be used for other time-series fields such as signal recognition and action analysis.…”
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A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis by Yong Bie, Yan Yang

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Indonesian Sign Language Image Detection Using Convolutional Neural Network (CNN) Method by Andreas Nugroho Sihananto, Erista Maya Safitri, Yoga Maulana, Fikri Fakhruddin, Mochammad Ervinda Yudistira

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Infant neural processing of mother’s face is associated with falling reactivity in the first year of life by Silvia Rigato, Manuela Stets, Henrik Dvergsdal, Karla Holmboe

“…Further, there are only a few studies on whether these neural responses correlate with other aspects of development, such as infant temperament. …”
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Hopf Bifurcation Analysis for a Four-Dimensional Recurrent Neural Network with Two Delays by Zizhen Zhang, Huizhong Yang

“…A four-dimensional recurrent neural network with two delays is considered. The main result is given in terms of local stability and Hopf bifurcation. …”
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Fungal Malignant Otitis Externa with Facial Nerve Palsy: Tissue Biopsy Aids Diagnosis by Jenny Walton, Chris Coulson

“…Fungal malignant otitis externa (FMOE) is a serious and potentially life-threatening condition that is challenging to manage. …”
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An Audit Risk Model Based on Improved BP Neural Network Data Mining Algorithm by Wenjia Niu, Lihua Zhao, Peiyao Jia, Jiankun Chu

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Drug Clues for the Treatment of Fungal Catheter-Related Bloodstream Infection With Antifungal Lock Therapy by Li X, Yu B, Li H, Liu Z, Fu X, Jiao P, Wang L

“…This will facilitate the development of novel treatments for catheter-related fungal infections, thereby improving clinical outcomes.Keywords: antifungal lock therapy, catheter-related bloodstream infections, Candida…”
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Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

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Tumor necrosis factor-α/interleukin-10 balance in normal and cystic fibrosis children by Galina V. Shmarina, Alexander L. Pukhalsky, Svetlana N. Kokarovtseva, Daria A. Pukhalskaya, Lidia A. Shabalova, Nikolai I. Kapranov, Natalia J. Kashirskaja

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