GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

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Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…Here, we present a machine learning model based on equivariant neural networks which uses atomic occupation matrices as descriptors, directly capturing the electronic structure, local chemical environment, and oxidation states of the system at hand. …”
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Attention-Based Convolutional Neural Network for Pavement Crack Detection by Haifeng Wan, Lei Gao, Manman Su, Qirun Sun, Lei Huang

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Aircraft Actuator Performance Analysis Based on Dynamic Neural Network by Wathiq Rafa Abed

“…The proposed method starts with the current and vibration signal as failure indicators and a dual-tree complex wavelet transformation (DTCWT) to generate the necessary features. Time-delay neural networks (TDNNs) have been developed for real-time performance monitoring to categorize problems and determine their severity. …”
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Visual Explainable Convolutional Neural Network for Aerodynamic Coefficient Prediction by Yanxuan Zhao, Chengwen Zhong, Fang Wang, Yueqing Wang

“…In this paper, a novel neural network is proposed to predict the aerodynamic forces of airfoils. …”
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Neural network potentials for exploring condensed phase chemical reactivity by Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien

“…In this tutorial review, we describe the key challenges associated with simulating reactions in condensed phases, we introduce neural network potentials and detail how they can be trained. …”
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Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks by Marzio Vallero, Emanuele Dri, Edoardo Giusto, Bartolomeo Montrucchio, Paolo Rech

“…Quanvolutional neural networks (QNNs) have been successful in image classification, exploiting inherent quantum capabilities to improve performance of traditional convolution. …”
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Incremental accumulation of linguistic context in artificial and biological neural networks by Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson, Roi Reichart

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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. The proposed TANN model applies the stud genetic algorithm to automatically select meta-paths at first. …”
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A Gain-Scheduling PI Control Based on Neural Networks by Stefania Tronci, Roberto Baratti

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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

“…We trained the nine neural network models and validated the performance of these networks. …”
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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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Swimming Training Evaluation Method Based on Convolutional Neural Network by Lei Zhang, Wei Liu

“…The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. …”
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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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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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Generation a shared secret using artificial neural networks by U. F. Holikau, M. L. Radziukevich

Subjects: “…synchronized artificial neural networks…”
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