Malignant arrhythmia in a COVID-19 patient with a structurally normal heart by Clare Anne Yoke Kum Fong, Benjamin Wei Liang Tung, Weiqin Lin, Kay Choong See

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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network by Van Quan Tran

“…In this investigation, the artificial neural network (ANN) model is introduced to forecast the compressive strength. …”
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Sliding Mode Real-Time Control of Photovoltaic Systems Using Neural Estimators by J. A. Ramos-Hernanz, O. Barambones, J. M. Lopez-Guede, I. Zamora, P. Eguia, M. Farhat

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Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks by Bin-Guo Wang

“…As an application, the model of delayed Hopfield-type neural networks with a type-K monotone interconnection matrix is considered, and the attractor result is obtained.…”
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Target Recognition Technology of Multimedia Platform Based on a Convolutional Neural Network by Jie Liu, Jiamin Zhang

“…Aiming at the above problems, we propose a multitarget retrieval method based on a convolutional neural network, which uses multitarget detection algorithm to locate multitarget regions and extract regional features and uses cosine distance as a similarity measure for multitarget recognition. …”
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NATIONAL APPROACHES TO THE NORMALIZATION OF WATER USE AT ENTERPRISES OF THE REPUBLIC OF BELARUS AND THE WAYS OF THEIR IMPROVEMENT by Polina N. Zakharko, Sniazhana A. Dubianok

End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…This study leverages a non-autoregressive neural text-to-speech (TTS) engine to generate high-quality speech, converting a series of phonemes into speech waveforms (mel-spectrograms). …”
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Excision of an Anovestibular Fistula with a Normal Anus Using a Biopsy Punch by Murat Sanal

“…Among anorectal malformations (ARM), the isolated H type anovestibular fistula (AVF) with a normal anus is a rarity, affecting only approximately 3% of patients with anorectal malformations. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. …”
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A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…Among them, Artificial Neural Networks (ANNs) have been widely and effectively applied in bankruptcy prediction. …”
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The rank order of the neutrosophic triplets (T, I, F) may change after normalization by Florentin Smarandache

“…This paper examines the effects of normalization on the ranking order of single-valued neutrosophic triplets. …”
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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…In this research, a relatively new intelligent model called deep neural network (DNN) is proposed to calculate the EAC. …”
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Prediction-Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis by Pengyong Miao

“…This study proposed a methodology to resolve these issues by integrating an artificial neural network (ANN) and sensitivity analysis method. …”
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A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators by Qinqin Chen, Anning Ni, Chunqin Zhang, Jinghui Wang, Guangnian Xiao, Cenxin Yu

“…The paper proposes a Bayesian neural network (BNN)-based method to calibrate parameters of microscopic traffic simulators, which reduces repeated running of simulations in the calibration and thus significantly improves the calibration efficiency. …”
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Structure and Functions of Human Serum Albumin in Normal Conditions and in Patients with Liver Cirrhosis by A. A. Turkina, M. V. Mayevskaya, M. S. Zharkova, V. T. Ivashkin

“…The aim: to highlight the main points of albumin synthesis, posttranslational modifications and functions in normal conditions and in patients with liver cirrhosis.Key points. …”
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Prescribed Performance Neural Control of Strict-Feedback Systems via Disturbance Observers by Wei Xiang, Guangkui Xu, Fang Zhu, Chunzhi Yang

“…And radial basis function neural networks (RBFNNs) are used to approximate nonlinear functions, while second-order filters are employed to eliminate the “explosion-complexity” problem inherent in the existing method. …”
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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition by Fei Yan, Zekai Guo, Abdullah M. Iliyasu, Kaoru Hirota

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EXACT FORMULAE FOR CODERIVATIVES OF NORMAL CONE MAPPINGS TO PERTURBED POLYHEDRAL CONVEX SETS by Nguyễn Quang Huy, Jen Chih Yao

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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors by David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

“…In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented; besides, it is combined with an adaptive linear network (ADALINE)-based frequency estimator and a feed forward neural network (FFNN)-based classifier to provide an intelligent methodology for the automatic diagnosis during the startup transient of motor faults such as: one and two broken rotor bars, bearing defects, and unbalance. …”
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An emerging view of neural geometry in motor cortex supports high-performance decoding by Sean M Perkins, Elom A Amematsro, John Cunningham, Qi Wang, Mark M Churchland

“…Decoders for brain-computer interfaces (BCIs) assume constraints on neural activity, chosen to reflect scientific beliefs while yielding tractable computations. …”
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