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A convolutional autoencoder framework for ECG signal analysis
Published 2025-01-01“…AE specialized for signal data, named Convolutional Autoencoder (CAE), showed the best performances in the analysis of ECG signals.This paper presents a CAE-based framework for ECG signal analysis and anomaly identification. …”
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A Fault Detection Framework for Rotating Machinery with a Spectrogram and Convolutional Autoencoder
Published 2025-07-01“…To address these issues, we newly propose a fault detection framework with a spectrogram and convolutional autoencoder. …”
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Criminal emotion detection framework using convolutional neural network for public safety
Published 2025-05-01“…The trained CNN models are used to detect criminal emotion and enhance judiciary decision-making. The proposed framework is evaluated with different evaluation metrics, such as training accuracy, loss, optimizer performance, precision-recall curve, model complexity, training time, and inference time. …”
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Hierarchical Convolution-Transformer Framework for Gear Fault Diagnosis Under Severe Noise
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A Graph Convolutional Network Framework for Area Attention and Tracking Compensation of In-Orbit Satellite
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A Weather-Adaptive Convolutional Neural Network Framework for Better License Plate Detection
Published 2024-12-01“…This paper introduces a weather-adaptive Convolutional Neural Network (CNN) framework that leverages the YOLOv10 model that is designed to enhance license plate detection in adverse weather conditions. …”
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A hybrid sparse identification and convolutional neural network framework for renewable energy forecasting
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A Novel Multistep Wavelet Convolutional Transfer Diagnostic Framework for Cross-Machine Bearing Fault Diagnosis
Published 2025-05-01“…Therefore, a multistep wavelet convolutional transfer diagnostic framework (MSWCTD) is proposed to realize cross-machine bearing fault diagnosis. …”
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DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions
Published 2025-01-01“…This paper presents DS-AdaptNet, an efficient segmentation framework that addresses these challenges through two synergistic technical innovations. …”
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A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network
Published 2025-07-01“…The framework encodes the behavioral time series data into image patterns using modified Markov Transition Field. …”
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VDMNet: A Deep Learning Framework with Vessel Dynamic Convolution and Multi-Scale Fusion for Retinal Vessel Segmentation
Published 2024-11-01“…Secondly, the Vessel Dynamic Convolution (VDConv) module is designed to dynamically adapt to curved and crossing vessels, thereby improving the segmentation of complex morphologies. …”
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Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification
Published 2025-07-01“…Utilizing transfer learning, the research harnessed pre-trained Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), then integrated these models into an ensemble framework that leverages the unique strengths of each architecture. …”
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From Convolution to Attention: Transformer-Based Modeling for Multi-Day Wildfire Spread Forecasting
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