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A Graph Convolutional Network-Based Fine-Grained Low-Latency Service Slicing Algorithm for 6G Networks
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Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA
Published 2025-03-01Subjects: “…post-earthquake landslide detection…”
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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“…<b data-eusoft-scrollable-element="1">Objectives:</b> to semantically segment maxillary teeth and palatal rugae in 3D textured scans using Convolutional Neural Networks (CNNs) and assess tooth movement after orthodontic treatment using stable rugae references. …”
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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“…Several studies have been conducted using a deep learning approach based on Convolutional Neural Networks (CNN) architecture. This study aims to classify the four classes using 21,165 chest X-ray images. …”
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Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation
Published 2025-06-01“…To address these problems, we propose a novel post-processing approach utilizing a two-dimensional convolutional neural network (2D-CNN). …”
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A lip reading method based on adaptive pooling attention Transformer
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The lip reading method based on Adaptive Pooling Attention Transformer
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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion
Published 2025-05-01“…Specifically, we develop a novel CRDCNN-LSTM network architecture, which integrates a Cross-Residual Depthwise Convolutional Neural Network (CRDCNN) with a Long Short-Term Memory (LSTM) module for effective capture of both spatial and temporal features. …”
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YOLO-RGDD: A Novel Method for the Online Detection of Tomato Surface Defects
Published 2025-07-01“…With the advancement of automation in modern agriculture, the demand for intelligence in the post-picking sorting of fruits and vegetables is increasing. …”
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A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans
Published 2025-01-01Subjects: “…Convolutional neural networks…”
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Research progress of digital image forensic techniques based on deep learning
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