Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems by Aaron D. Pitcher, Mihail Georgiev, Natalia K. Nikolova, Nicola Nicolici

“…It is demonstrated that the FPGA data-processing speed matches that of the radar output, thus eliminating data loss. …”
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Data processing capability of polarization dynamics in ferroelectric-gate transistor-based physical reservoir computing by Yu Ukezeki, Sota Inoue, Norifumi Fujimura, Tokuji Yokomatsu, Kensuke Kanda, Kazusuke Maenaka, Kasidit Toprasertpong, Shinichi Takagi, Takeshi Yoshimura

“…We investigated the relationship between the polarization characteristics of ferroelectric Hf _0.5 Zr _0.5 O _2 thin-films and data processing capability in physical reservoir computing. …”
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Processing Method of Missing Monitoring Data of Concrete Dam Deformation Based on GRU by ZHAI Junjie, SHI Zhongwen, LI Jun, PAN Wenming, JIA Hailei, YE Sheng

“…In view of the missing monitoring data due to instrument problems or human factors in the process of concrete dam deformation monitoring, this paper explores and proposes a processing method for the missing of concrete dam deformation data based on gated recurrent unit neural network (GRU). …”
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Process tomography of structured optical gates with convolutional neural networks by Tareq Jaouni, Francesco Di Colandrea, Lorenzo Amato, Filippo Cardano, Ebrahim Karimi

“…Our approach further expands the toolbox of data-driven approaches to QPT and shows promise in the real-time characterization of complex optical gates.…”
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Cradle-to-gate life cycle assessment of hemp utilization for biocomposite pellet production: A case study with data quality assurance process by Niloofar Akbarian-Saravi, Taraneh Sowlati, Abbas S. Milani

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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

“…The PD-PCA method can process the acquired partial data during the data acquisition process, resulting in more accurate heartbeat signals, improves the accuracy of cardiac gating grouping. …”

Parallelizing analog in-sensor visual processing with arrays of gate-tunable silicon photodetectors by Zheshun Xiong, Wen Liang, Meiyue Zhang, Dacheng Mao, Qiangfei Xia, Guangyu Xu

“…Abstract In-sensor processing of dynamic and static information of visual objects avoids exchanging redundant data between physically separated sensing and computing units, holding promise for computer vision hardware. …”
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Geostrategy at the EU’s South-Eastern Gate by I. Tózsa, J. Sallai

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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

“…This study aims to apply Birectional Gated Recurrent Unit (BiGRU) model to the CPI data in Indonesia. …”
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A Low Leakage Autonomous Data Retention Flip-Flop with Power Gating Technique by Xiaohui Fan, Yangbo Wu, Hengfeng Dong, Jianping Hu

“…When the power gating technique is applied in sequential circuits, such as flip-flops and latches, the data retention is necessary to store the circuit states. …”
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ABOUT THE METHOD OF GATING SYSTEMS ANALYSIS BASED ON MODELING DATA OF SPATIAL IMAGES TEMPERATURES OF MELT by S. Lihouzov, A. Chichko, V. Sobolev, T. Matjushinec, O. Sachek, O. Chichko

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A Dual Polyphase Decomposition Overlapped Polyphase Filter Bank and Its Implementation in a Field-programmable Gate Array by Shaocong Guo, Qiao Meng, Hailong Zhang, Yazhou Zhang, Chenye Zhou, Gaojing Li, Jie Wu, Jianxun Shao

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DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video by Zezhen Gai, Tanni Das, Kiho Choi

“…However, during the encoding process, compression artifacts and the loss of visual details remain unavoidable challenges, particularly in high-resolution video processing, where the massive amount of image data tends to introduce more artifacts and noise, ultimately affecting the user’s viewing experience. …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Consequently, the current machine learning denoising techniques fall short in delivering precise processing of Wide Field Electromagnetic Method (WFEM) data. …”
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Design of Low-Power Structural FIR Filter Using Data-Driven Clock Gating and Multibit Flip-Flops by Lamjed Touil, Abdelaziz Hamdi, Ismail Gassoumi, Abdellatif Mtibaa

“…Data-driven clock gating (DDCG) and multibit flip-flops (MBFFs) are two low-power design methods that are used and often treated separately. …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…The model comprises three main modules: a TransforRS-Mamba module that integrates the sequence processing capabilities of the Mamba model with the attention mechanism of the Transformer to effectively merge spatial and spectral features; an improved spatial proximity-aware attention mechanism (SPPAM) that utilizes a spatial constraint matrix to greatly enhance the recognition of complex object relationships; and an optimized spatial proximity-constrained gated fusion module (SPCGF) that integrates spatial proximity constraints with residual connections to boost the recognition accuracy of key object features. …”
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GT-STAFG: Graph Transformer with Spatiotemporal Attention Fusion Gate for Epileptic Seizure Detection in Imbalanced EEG Data by Mohamed Sami Nafea, Zool Hilmi Ismail

“…The graph transformer exploits dynamic graph data, while STAFG leverages self-attention and gating mechanisms to capture complex interactions by augmenting graph features with both spatial and temporal information. …”
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Gated recurrent deep learning approaches to revolutionizing English language learning for personalized instruction and effective instruction by Bo Sun

“…The study investigates the revolutionary possibilities of Gated Recurrent Neural Networks (GRNN) to improve ELL-tailored training. …”
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Parameter sensitivity and data uncertainty assessment of the cradle-to-gate environmental impact of state-of-the-art passive daytime radiative cooling materials by N. Adams, K. Allacker

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Contrastive Learning-Based Hyperspectral Image Target Detection Using a Gated Dual-Path Network by Jiake Wu, Rong Liu, Nan Wang

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