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Optimizing linear/non-linear Volterra-type integro-differential equations with Runge–Kutta 2 and 4 for time efficiency
Published 2024-12-01Subjects: “…Special non-linear Volterra integro differential equation…”
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82
Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure
Published 2025-05-01“…This study applies a new method of multi-branch convolution, the Re-parameterized and Multi-branch Convolution Algorithm (RMCA), to enhance the recognition of complex structures and similar words, improving mean average precision (MAP) and identification efficiency. …”
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Multibranch Network for Addressing Intraclass Variation in Remote Sensing Building Detection
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85
Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction
Published 2025-12-01“…To address these challenges, we propose an approach that combines wavelet transformation and a convolutional neural network (CNN), both of which are specialized for long-term stock price prediction, to efficiently and automatically extract the features of stock prices at various temporal resolutions. …”
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86
A Low-Cost AI-Powered System for Early Detection of Diabetic Retinopathy and Ocular Diseases in Resource Limited Settings
Published 2025-01-01“…These images are analyzed using advanced Convolutional Neural Networks to determine the cases of people suffering from eye issues: Age-related vascular degeneration (AMD), Diabetic retinopathy (DR), and Glaucoma. …”
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87
A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction
Published 2024-12-01“…Specifically, our approach uses the following: (i) feature extraction from chest CT scans via a convolutional neural network (CNN), (ii) their integration with clinically relevant tabular data from patient exams, refined through a feature selection system to retain only significant predictors. …”
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88
Automatic license-plate recognition
Published 2020-03-01“…An integrated approach for the problem solution based on the application of convolution neural network composition is proposed. …”
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89
Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances
Published 2025-06-01“…The framework adopts a three-component architecture consisting of (1) a multi-graph convolutional network using both geographical proximity and power correlation graphs to capture heterogeneous spatial dependencies between wind farms, (2) an attention-enhanced LSTM network that weights temporal features differentially based on their predictive significance, and (3) a specialized Conv2D mechanism to identify and isolate external disturbance patterns. …”
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Wavelet-Enhanced YOLO for Intelligent Detection of Welding Defects in X-Ray Films
Published 2025-04-01Get full text
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91
Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning
Published 2025-06-01Get full text
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Mapping Galaxy Images across Ultraviolet, Visible, and Infrared Bands Using Generative Deep Learning
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Heart Disease Classification From Echocardiogram Images Using Deep Learning
Published 2025-01-01Get full text
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97
Monte-Carlo Modelling For Evaluation Of Two Different Calculation Algorithms
Published 2019-01-01Get full text
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98
CNN-based state prediction for a varying number of storage in economic dispatch
Published 2025-07-01Get full text
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Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras
Published 2020-01-01“…However, they require specialized devices, which are not always available for general users or visually impaired people. …”
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