Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

“…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
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Comparative Analysis of Rhizosphere Fungal Communities in Korean Fir Trees by Young Min Ko, Geun-Hye Gang, Dae Ho Jung, Youn-Sig Kwak

“…Furthermore, the fungal community structure was more responsive to habitat type variations than seasonal changes. …”
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Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

“…In this study, we propose a new method that leverages deep learning, specifically convolutional neural networks (CNNs), to capture spatial features of environmental variables. …”
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Synchronization of Chaotic Delayed Neural Networks via Impulsive Control by Yang Fang, Kang Yan, Kelin Li

“…This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. …”
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Optimization of micronizing zeolite grinding using artificial neural networks by Nikolić V., Trumić M., Tanikić D., Trumić M.S.

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An improved blind detection algorithm of chaos Hopfield neural network by Dawei YU, Shaowei CHEN, Shujuan YU

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State of the art of glaucoma diagnosis: neural networks and artificial intelligence by A.V. Kuroyedov, G.A. Ostapenko, K.V. Mitroshina, A.B. Movsisyan

“…State of the art of glaucoma diagnosis: neural networks and artificial intelligence. Russian Journal of Clinical Ophthalmology. 2019;19(4):230–237.…”
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Stability of Impulsive Neural Networks with Time-Varying and Distributed Delays by Qi Luo, Xinjie Miao, Qian Wei, Zhengxin Zhou

“…This work is devoted to investigating the stability of impulsive cellular neural networks with time-varying and distributed delays. …”
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Adaptive Neural Sliding Mode Control of Active Power Filter by Juntao Fei, Zhe Wang

“…A radial basis function (RBF) neural network adaptive sliding mode control system is developed for the current compensation control of three-phase active power filter (APF). …”
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Caregiver-child neural synchrony: Magic, mirage, or developmental mechanism? by Ellen C. Roche, Elizabeth Redcay, Rachel R. Romeo

Subjects: “…Neural synchrony…”
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Connecting quasi-normal modes with causality in Lovelock theories of gravity by Avijit Chowdhury, Akash K. Mishra, Sumanta Chakraborty

“…The eikonal correspondence between the quasi-normal modes (QNMs) of asymptotically flat static spherically symmetric black holes and the properties of unstable null circular geodesics is studied in the case of higher dimensional Lovelock black holes (BHs). …”
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Android malware detection method based on deep neural network by Fan CHAO, Zhi YANG, Xuehui DU, Yan SUN

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Diversity of Ectomycorrhizal Fungal Communities Associated with Tuber koreanum in Korea by Seok-Yong Park, Ahn-Heum Eom

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Brain-model neural similarity reveals abstractive summarization performance by Zhejun Zhang, Shaoting Guo, Wenqing Zhou, Yingying Luo, Yingqi Zhu, Lin Zhang, Lei Li

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An Artificial Neural Network-Based Comprehensive Solar Photovoltaic Emulator by Kalaimohan Thankanadar Saraswathi, Parassuram Arumugam, Gurunandh V. Swaminathan, Somasundaram Periasamy

“…Thus, in this paper, a PVE with the ability to mimic both uniformly irradiated and partially shaded PV panels is proposed by employing artificial neural network (ANN) and piecewise-linearization technique. …”
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Dog recognition in public places based on convolutional neural network by Jianquan Ouyang, Hao He, Yi He, Huanrong Tang

“…In view of this, we propose a novel algorithm that combines dense–scale invariant feature transform and convolutional neural network to solve dog recognition problems in public places. …”
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COLOR AND HARDNESS COMPARISON BETWEEN PARBOILED AND NORMAL BLACK RICE by Reza Widyasaputra, Elvira Syamsir, Slamet Budijanto

“…The aim of this research was to compare the color difference and grain hardness from normal black rice and two different parboiled black rice. …”
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Automated mechanical ventilator design and analysis using neural network by S. Hariharan, Hemalatha Karnan, D. Uma Maheswari

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SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks by M. Suriya, M. G. Sumithra

“…A hybrid deep learning model called SPECTRUMNET (spectrum sensing using deep neural network) is presented. It can quickly and accurately monitor the spectrum from spectrogram images by utilizing cyclostationary features and convolutional neural networks (CNN). …”
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Detecting Methotrexate in Pediatric Patients Using Artificial Neural Networks by Alejandro Medina Santiago, Jorge Iván Bermúdez Rodríguez, Jorge Antonio Orozco Torres, Julio Alberto Guzmán Rabasa, José Manuel Villegas Izaguirre, Gladys Falconi Alejandro

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