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Research on Data-driven PET-CT Gating Imaging Method
Published 2025-06-01“…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. …”
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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques
Published 2024-12-01“…In this study, a comprehensive four-step approach is introduced for short-term load forecasting (STLF) aimed at precisely estimating power demand and generation. The process unfolds with data collection, followed by rigorous standardization, preprocessing, and cleansing of demand and generation data. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model
Published 2025-01-01“…Subsequently, the Gated Recurrent Unit (GRU) network utilizes data from other sensors to reconstruct the IMFs and residuals, ultimately producing the data reconstruction results. …”
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An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network
Published 2025-05-01Subjects: “…sensor data processing…”
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Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems
Published 2025-01-01“…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
Published 2025-01-01“…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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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition
Published 2025-01-01“…Additionally, we utilized an Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) to generate images that balance MRI data and implemented multiple preprocessing techniques to tackle inherent noise in MRI images. …”
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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data
Published 2024-03-01“…It provides an intuitive way for humans to interact with machines emotionally by understanding the emotion machine. The process begins with collecting and preprocessing EEG information to use the data for training and testing the proposed system. …”
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Natural language processing-based approach for automatically coding ship sensor data
Published 2024-01-01“…Through the application of different text preprocessing techniques based on the unique characteristics of the data, the performances of the algorithms improved; the experimental results showed an accuracy of up to 91%, with an average improvement in accuracy of 5% for each algorithm.…”
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Processing Method of Missing Monitoring Data of Concrete Dam Deformation Based on GRU
Published 2024-12-01“…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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Flight-Safe Inference: SVD-Compressed LSTM Acceleration for Real-Time UAV Engine Monitoring Using Custom FPGA Hardware Architecture
Published 2025-07-01“…The model performs binary classification to predict the likelihood of imminent engine failure by processing normalized multi-sensor data, including temperature, pressure, and vibration measurements. …”
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Process tomography of structured optical gates with convolutional neural networks
Published 2024-01-01“…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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Parallelizing analog in-sensor visual processing with arrays of gate-tunable silicon photodetectors
Published 2025-05-01“…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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Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting
Published 2025-02-01“…Hour-wise Pattern Organization and Month-wise Pattern Organization techniques were devised, which organize the speed data using these two factors as a metric with a view to providing a superior representation of data characteristics that are in the minority. …”
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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans
Published 2025-09-01“…Initially, the chest CT scan images are subjected to the pre-processing phase, where image resizing and normalization are used to preprocess the images. …”
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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA
Published 2024-03-01“…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
Published 2014-01-01“…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
Published 2015-04-01Get full text
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