Development of a Small‐Scale Coating Thickness Detection Robot for Plane Steel Gate Panel by Zhenhua Duan, Chenggang Deng, Gaoping Shi, Chaochao Wu, Jin Zhou

“…The stability and accuracy of the detection robot can meet the actual needs of plane steel gate panel coating thickness detection, can replace manual operation to reduce labor intensity and safety hazards, and further enhance the development process of intelligent equipment in the water conservancy industry. …”
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3D modelling of a 15th century city gate of Rennes: Portes Mordelaises by Jean-Baptiste Barreau, Elen Esnault, Jérôme Foucher, Manon Six, Cécile Le Faou

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Hardware-Optimized Architecture of On-Board Registration for Remote-Sensing Images —Take SURF as an Example by Xin Du, Cankun Yang, Ruofei Zhong, Qingyang Li, Yuanhang Wang, Zhaoming Huang, Xianlin Liu

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Selective Reading for Arabic Sentiment Analysis by Mohamed Zouidine, Mohammed Khalil

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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit by Kavipriya Gananathan, D. Manjula, Vijayan Sugumaran

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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed by Chen Yang, Pengfei Jin, Yan Chen

“…Combining graph neural networks (GNN) with gate recurrent units (GRU) may offer a better solution. …”
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Leakage Source Localisation Employing 3D-CFD Simulations and Gated Recurrent Units in Hydrogen Releases by André Z. Selvaggio, Sávio S.V. Vianna

“…This study focuses on developing gated recurrent units (GRU) to identify hydrogen leaks in a chemical process module due to hydrogen release. …”
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A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China by Jun Bi, Zhen Wu, Lei Wang, Dongfan Xie, Xiaomei Zhao

“…An airport gate is the core resource of an airport operation, which is an important place for passengers to get on and off the aircraft and for maintaining aircraft. …”
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A Real-Time Signal Measurement System Using FPGA-Based Deep Learning Accelerators and Microwave Photonic by Longlong Zhang, Tong Zhou, Jie Yang, Yin Li, Zhiwen Zhang, Xiang Hu, Yuanxi Peng

“…Finally, we test the actual collected signal data on the XCVU13P field programmable gate array (FPGA). …”
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Blockchain smart contract vulnerability detection based on GR algorithm by WANG Deguang, SHAN Mengtao, LI Fengqi, TONG Ning

“…At the algorithmic design level, an improved GR (gated recurrent unit-random forest) algorithm model was proposed. …”
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The data mining and high-performance network model of tourism electronic word of mouth for analysis of factors influencing tourists’ purchasing behavior by Wei Chen

“…Finally, the Recurrent Neural Network (RNN) model is combined with the Backpropagation (BP) model, the time series data is processed with the help of the gated recurrent unit, and the HPN model is trained and evaluated. …”
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Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles by Abdul Hussain Ali Hussain, Montadar Abas Taher, Omar Abdulkareem Mahmood, Yousif I. Hammadi, Reem Alkanhel, Ammar Muthanna, Andrey Koucheryavy

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A Field-Programmable Gate Array-Based Adaptive Sleep Posture Analysis Accelerator for Real-Time Monitoring by Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

“…This was achieved based on subject (human) data at standard and adaptive levels using posture-learning processing elements (PEs). …”
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Tunnel Traffic Enforcement Using Visual Computing and Field-Programmable Gate Array-Based Vehicle Detection and Tracking by Yi-Chen Lin, Rey-Sern Lin

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Enhanced Panoramic Radiograph-Based Tooth Segmentation and Identification Using an Attention Gate-Based Encoder–Decoder Network by Salih Taha Alperen Özçelik, Hüseyin Üzen, Abdulkadir Şengür, Hüseyin Fırat, Muammer Türkoğlu, Adalet Çelebi, Sema Gül, Nebras M. Sobahi

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Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention by Ghina Khoerunnisa, Isman Kurniawan

“…Also, we utilize gated multi-head attention (GMHA), which modifies multi-head attention by including dynamic scaling and a gate process to capture the mutual interactions better. …”
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A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction by Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, Francesco Flammini, Badria Sulaiman Alfurhood, C. M. Naveen Kumar

“…The collected data were pre-processed using min–max normalization, and important features were extracted by Fast Fourier transform (FFT) and the process of reducing the dimensionality with principal component analysis (PCA). …”
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CPT-DF: Congestion Prediction on Toll-Gates Using Deep Learning and Fuzzy Evaluation for Freeway Network in China by Tongtong Shi, Ping Wang, Xudong Qi, Jiacheng Yang, Rui He, Jingwen Yang, Yu Han

“…This new AI network could process spatiotemporal information of traffic volume and operational delay time, that extracted from large-scaled toll-gates spontaneously, and predict key indicators in 15/30/60 min future time. …”
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Implementation of Student Course Evaluation: Pandemic Impact on the Non-Constraint Engagement (NCE) Model by Faridah Maarof, Said El-Emam, Raudah Mohd Yunus

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Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network by Jinglong He, Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu

“… To improve the security and overall efficiency of grid scheduling work and accurately optimize scheduling decisions, a grid scheduling error-proof operation warning method based on a deep bidirectional gated recurrent neural network is proposed. This paper combines the principle of hierarchical data construction, summarizes the structured data of metadata operation tickets and maintenance plans of CIM model and OMS network frame model, and constructs the data warehouse of grid dispatching error prevention; based on the natural language processing (NLP) technology, key information and knowledge entities related to grid dispatching error prevention are automatically identified and extracted from the data warehouse. …”
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