Active Engine Mounting Control Algorithm Using Neural Network by Fadly Jashi Darsivan, Wahyudi Martono, Waleed F. Faris

“…This paper proposes the application of neural network as a controller to isolate engine vibration in an active engine mounting system. …”
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A Convolutional Neural Network for Nonrigid Structure from Motion by Yaming Wang, Xiangyang Peng, Wenqing Huang, Meiliang Wang

“…In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network. …”
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Lane-Changing Trajectory Prediction Modeling Using Neural Networks by Hamidreza Hamedi, Rouzbeh Shad

“…The present study adopts a dual-layer feed-forward backpropagation neural network involving sigmoid hidden neurons and linear output neurons for evaluating intrinsic LC complexity. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…To solve the above deficiencies, we propose a tri-attention neural network (TANN) model for recommendation task. …”
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A Gain-Scheduling PI Control Based on Neural Networks by Stefania Tronci, Roberto Baratti

“…This paper presents a gain-scheduling design technique that relies upon neural models to approximate plant behaviour. The controller design is based on generic model control (GMC) formalisms and linearization of the neural model of the process. …”
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Complexity in Neural and Financial Systems: From Time-Series to Networks by Tiziano Squartini, Andrea Gabrielli, Diego Garlaschelli, Tommaso Gili, Angelo Bifone, Fabio Caccioli

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Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles by Hiroki Masumoto, Hitoshi Tabuchi, Tsuyoshi Yoneda, Shunsuke Nakakura, Hideharu Ohsugi, Tamaki Sumi, Atsuki Fukushima

“…Although several severity classification criteria have been proposed, none include objective severity criteria. Neural networks and deep learning have been utilised in ophthalmology, but not for the purpose of classifying the severity of conjunctival hyperaemia objectively. …”
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Neural Stem and Progenitor Cells in Nervous System Function and Therapy by Tara Walker, Jeffrey Huang, Kaylene Young

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Language-specific neural dynamics extend syntax into the time domain by Cas W. Coopmans, Helen de Hoop, Filiz Tezcan, Peter Hagoort, Andrea E. Martin

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Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks by Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan

“…In this paper, a semisupervised graph neural network traffic classifier is proposed for cloud-edge architecture so that cloud servers and edge nodes could cooperate to perform the traffic classification tasks in order to deliver low latency and save bandwidth on the edge nodes. …”
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The Role of Neural Plasticity in Depression: From Hippocampus to Prefrontal Cortex by Wei Liu, Tongtong Ge, Yashu Leng, Zhenxiang Pan, Jie Fan, Wei Yang, Ranji Cui

“…Neural Plasticity…”
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Exercised-Induced Coronary Spasm in Near Normal Coronary Arteries by Damian Franzen, Thomas Benzing

“…In contrast to effort-induced symptoms in obstructive coronary disease, spasm in normal coronary arteries is characterized by angina at rest. …”
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Some Normal Criteria about Shared Values with Their Multiplicity Zeros by Jianming Qi, Taiying Zhu

“…If f+a(f')n and g+a(g')n share b in D for every pair of functions f,g∈F, then F is normal in D.…”
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Swimming Training Evaluation Method Based on Convolutional Neural Network by Lei Zhang, Wei Liu

“…In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. …”
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Closed-form interpretation of neural network classifiers with symbolic gradients by Sebastian J Wetzel

Subjects: “…artificial neural networks…”
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Characterization of the Fungal Microbiome (Mycobiome) in Fecal Samples from Dogs by M. Lauren Foster, Scot E. Dowd, Christine Stephenson, Jörg M. Steiner, Jan S. Suchodolski

“…This study evaluated the fungal microbiome of 19 dogs (12 healthy dogs and 7 dogs with acute diarrhea) using fungal tag-encoded FLX-Titanium amplicon pyrosequencing. …”
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Two Cases of Allergic Fungal Sinusitis with Differing Postoperative Course by Yuma Matsumoto, Hidenori Yokoi, Michitsugu Kawada, Masachika Fujiwara, Koichiro Saito

“…Allergic fungal sinusitis (AFS) often develops in unilateral paranasal sinuses, which must be differentiated from tumors. …”
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The Difference of Vitamin D and Calcium Levels in Preeclampsia and Normal Pregnancy by Lola Pebrianthy, Nurelilasari Siregar, Ayusdiningsih

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Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

“…In particular, solutions based on hydraulic-based graph neural networks (SWE-GNNs) enable transferability to domains not used for training and allow the inclusion of physical constraints. …”
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Stochastic Passivity of Uncertain Neural Networks with Time-Varying Delays by Jianting Zhou, Qiankun Song, Jianxi Yang

“…The passivity problem is investigated for a class of stochastic uncertain neural networks with time-varying delay as well as generalized activation functions. …”
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