Combination linear lines of position and neural network for mobile station location estimation by Chien-Sheng Chen

“…It is much easier to solve two linear line equations rather than nonlinear circular ones. Artificial neural networks are widely used techniques in various areas due to overcoming the problem of exclusive and nonlinear relationships. …”
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Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds by Christopher J. Bell, Kaushallya Adhikari, Andrew Brown

Subjects: “…Convolutional neural network…”
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SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks by Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea

Subjects: “…Graph Neural Networks…”
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Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks by Hyun Kwon, Jang-Woon Baek

Subjects: “…Graph neural network…”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

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Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…Abstract Neural reuse can drive organisms to generalize knowledge across various tasks during learning. …”
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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

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Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks by Dong Chen, Young Hoon Joo

“…This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a denoising network to suppress outliers and filter out impulsive noise. …”
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Selection of strawberry cultivars according to their productivity and berry quality using normalized indices by V. I. Lapshin, V. V. Yakovenko

“…The initial data were transformed according to the least significant difference (LSD05) to obtain normalized indices. Taking into account the Wilcoxon test, the cultivars were ranked by the indices. …”
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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. Artificial neural network is recently established as a useful and much promising too, applied to variety of power systems engineering. …”
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Influence of Acute Mental Stress on the Frequency and Duration of Gastroesophageal Reflux in Normal Volunteers by IJ Cook, SM Collins

“…The mean numberof reflux episodes per 30-min stress period (2.3 ± 1.1) did not differ significantly from the mean number of episodes per 30-min control period (2.8± 1.1). T herefore, in normal volunteers acute predictable emotio nal stress does not influence the frequency or duration of postprandial gastroesophageal reflux.…”
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Existence of Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Neutral Delays by Ninghua Chen

“…This paper considers the existence of periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with neutral delays. By applying the theory of abstract continuation theorem of k-set contractive operator and some analysis technique, a new result on the existence of periodic solutions is obtained.…”
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Characterizing Curvilinear Features Using the Localized Normal-Score Ensemble Kalman Filter by Haiyan Zhou, Liangping Li, J. Jaime Gómez-Hernández

“…The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data. …”
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Fixed points of a certain class of mappings in spaces with uniformly normal structure by Jong Soo Jung, Balwant Singh Thakur, Daya Ram Sahu

Subjects: “…Uniformly normal structure…”
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Adults with reading difficulties demonstrate selective impairments in the fine neural tuning for print by Tongjie Zhuang, Yaowen Li, Yufei Tan, Jiuju Wang, Xiuyue Yue, Licheng Xue, Jing Zhao, Jing Zhao

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The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…To solve the said problems, the model of convolutional neural network in the deep learning approach was used in this article to cope with classification and labeling tasks of brain tumor images. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

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Two novel entomopathogenic fungal species of Lecanicillium isolated from soil in China by Tongyi Liu, Wei Chen, Yanhong Tang, Fen Liu, Liyan Yao, Qiongbo Hu, Ke Zhang, Qunfang Weng

“…Bioassays conducted on the greater wax moth, Galleria mellonella and crucifer aphid, Lipaphis erysimi showed that both fungal strains exhibit virulence. When treating with 1 × 108 spores/mL, the two strains gave mortality of > 60% and > 80% to G. mellonella and L. erysimi, respectively. …”
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Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture by Gulam Dastagir Khan, Ibrahim Al-Naimi

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Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control by Yuhua Xu, Jinmeng Wang, Wuneng Zhou, Xin Wang

“…Finite-time synchronization in pth moment is considered for time varying stochastic chaotic neural networks. Compared with some existing results about finite-time mean square stability of stochastic neural network, we obtain some useful criteria of finite-time synchronization in pth moment for chaotic neural networks based on finite-time nonlinear feedback control and finite-time adaptive feedback control, which are efficient and easy to implement in practical applications. …”
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