New hash function based on C-MD structure and chaotic neural network by Liquan CHEN, Yuhang ZHU, Yu WANG, Zhongyuan QIN, Yang MA

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Detection and diagnosis of fault bearing using wavelet packet transform and neural network by Djaballah Said, Meftah Kamel, Khelil Khaled, Tedjini Mohsein, Sedira Lakhdar

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Real-time event detection using recurrent neural network in social sensors by Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang

“…First, a convolutional neural network augmented with multiple word-embedding architectures is used as a text classifier for the pre-processing of the input textual data. …”
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Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network by Journal of Control Science and Engineering

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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…This method utilizes a densely connected deep neural networks (DenseDNN), which establishes direct connections between layers in the neural networks, provides stronger feature extraction and information transmission capabilities. …”
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Stochastic Synchronization of Neutral-Type Neural Networks with Multidelays Based on M-Matrix by Wuneng Zhou, Xueqing Yang, Jun Yang, Jun Zhou

“…The problem of stochastic synchronization of neutral-type neural networks with multidelays based on M-matrix is researched. …”
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Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics by Carlos González-Gutiérrez, María Luisa Sánchez-Rodríguez, José Luis Calvo-Rolle, Francisco Javier de Cos Juez

“…The Complex Atmospheric Reconstructor based on Machine Learning (CARMEN) is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. …”
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Determining The Ripeness Level Of Crystal Guava Fruit Using Backpropagation Neural Network by Shofia Nabila Azzahra, Ahmad Kamsyakawuni, Abduh Riski

“…In classification using Backpropagation Neural Network, the best network model in this study was achieved in the 3 10 4 network architecture with a binary sigmoid activation function, learning rate = 0.3, and batch size = 64. …”
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Real-Time Plant Health Detection Using Deep Convolutional Neural Networks by Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, Hafiz Tayyab Rauf

“…This research aimed to use deep convolutional neural networks for the real-time detection of diseases in plant leaves. …”
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Study on traffic scene semantic segmentation method based on convolutional neural network by Linhui LI, Bo QIAN, Jing LIAN, Weina ZHENG, Yafu ZHOU

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Research on POI quality prediction based on KPCA-GA-BP neural network by Lu LIU, Dan YANG, Ruijie CHEN, Jia LI, Xi ZHOU

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Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review by Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, Muhammad Umar Elahi, Izaz Raouf, Heung Soo Kim

Subjects: “…physics-informed neural networks…”
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Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm by Aijiang Liu, Changhui Huang, Guangjun Hu

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Comparative Analysis of Recurrent Neural Network Models Performance in Predicting Bitcoin Prices by Zidane Ikkoy Ramadhan, Harya Widiputra

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Method for detecting anomalies in geomagnetic field variations based on artificial neural network by Imashev, Sanjar A.

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

“…This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transformer artificial neural network (ANN). Two consecutive trials were conducted with varying amounts of collected data, and three ANN models with the same architecture but different parameters were examined. …”
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Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie by Kaiwei Liang, Na Qin, Deqing Huang, Yuanzhe Fu

“…Notice that convolutional neural networks (CNNs) are powerful in extracting high-level local features and that recurrent neural networks (RNNs) are capable of learning long-term context dependencies in vibration signals. …”
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New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay by Xueying Shao, Qing Lu, Hamid Reza Karimi, Jin Zhu

“…The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

Subjects: “…Wavelet artificial neural network…”
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