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Semantic air segmentation in core with noise reduction and post-processing
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Integrating Message Content and Propagation Path for Enhanced False Information Detection Using Bidirectional Graph Convolutional Neural Networks
Published 2025-03-01“…Our approach leverages web propagation topology by transforming disconnected user posts into a bidirectional propagation graph, which integrates top-down and bottom-up pathways derived from post forwarding and commenting relationships. …”
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COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Published 2025-01-01“…Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. …”
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A Graph Convolutional Network-Based Fine-Grained Low-Latency Service Slicing Algorithm for 6G Networks
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.
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Three-Dimensional Semantic Segmentation of Palatal Rugae and Maxillary Teeth and Motion Evaluation of Orthodontically Treated Teeth Using Convolutional Neural Networks
Published 2025-06-01“…The common stable coordinate frame for both scans using the rugae area as a stable reference enabled the computation of the 3D translational and rotational motions of each maxillary tooth. Neither pre- nor post-processing of the data was required to enhance segmentation. …”
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A Method of Trackside Kilometer Post Identification Combined with YOLOv3 Model
Published 2020-01-01“…Transfer learning is adopted to obtain possible rectangular region of kilometer post based on the trained network parameters. Then, pattern recognition is used to extract, segment and recognize character region of kilometer scale, and finally output digital information of kilometer scale to the control system. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks
Published 2024-10-01“…Convolutional neural network (CNN)-based synthetic aperture radar (SAR) ship detection models operating directly on satellites can reduce transmission latency and improve real-time surveillance capabilities. …”
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Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation
Published 2025-07-01“…However, post-stroke survivors usually experience weak upper arms, limited range of motion (ROM) and involuntary excessive movement patterns. …”
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Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks
Published 2022-12-01“…Therefore, it is necessary to classify Covid-19 and pneumonia not only during a pandemic but also post-pandemic. One of the methods is using chest X-ray images. …”
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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques
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A lip reading method based on adaptive pooling attention Transformer
Published 2025-06-01Get full text
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