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Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks
Published 2025-01-01Subjects: “…Convolutional neural network…”
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Flu-CNN: identifying host specificity of Influenza A virus using convolutional networks
Published 2025-08-01“…To address this, we proposed Flu-level Convolutional Neural Networks (Flu-CNN), a model designed to analyze genomic segments and identify IAV host specificity, with a particular focus on avian influenza viruses that could potentially infect humans. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks
Published 2025-07-01“…Effective and efficient actions are needed to assist in the recovery following natural disasters, one of which is aiding in the identification of building damage levels post-disaster. To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network
Published 2025-04-01Get full text
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Lost-minimum post-training parameter quantization method for convolutional neural network
Published 2022-04-01Get full text
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Lifetime prediction of epoxy coating using convolutional neural networks and post processing image recognition methods
Published 2024-11-01“…Initially, a targeted image recognition approach containing convolutional neural network (CNN) and post-processing was constructed for the crack area detection. …”
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Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study
Published 2022-01-01Subjects: Get full text
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YOLOv8 with Post-Processing for Small Object Detection Enhancement
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Predicting Return-to-Sport Timeline: Classifying Anterior Cruciate Ligament Health Levels Post-Reconstruction Surgery Using Convolutional Neural Networks
Published 2025-01-01“…We defined three ACL health levels: healthy, six months post-ACLR, and nine months post-ACLR. Surface electromyography (sEMG) signals were recorded from five knee muscles during single-leg drop landing (SLDL) and single-leg forward hopping (SLFH) tasks. …”
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GHMSA-Net: Gated Hierarchical Multi-Scale Self-Attention for Perceptually-Guided AV1 Post-Processing
Published 2025-01-01Subjects: Get full text
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Multi-Scale Self-Attention-Based Convolutional-Neural-Network Post-Filtering for AV1 Codec: Towards Enhanced Visual Quality and Overall Coding Performance
Published 2025-05-01“…This paper presents MS-MTSA, a multi-scale multi-type self-attention network designed to enhance AV1-compressed video through targeted post-filtering. The objective is to address two persistent artifact issues observed in our previous MTSA model: visible seams at patch boundaries and grid-like distortions from upsampling. …”
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Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery
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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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Mining behavior pattern of mobile malware with convolutional neural network
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Encrypted traffic classification method based on convolutional neural network
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network
Published 2025-02-01“…Therefore, a novel approach for cholelithiasis classification using custom CNN with post-hoc model explanation is proposed. This paper presents multiple contributions. …”
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