AIMC Topic: Pattern Recognition, Automated

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Enhancing occluded and standard bird object recognition using fuzzy-based ensembled computer vision approach with convolutional neural network.

Scientific reports Jul 1, 2025
Classifying bird species is essential for ecological study and biodiversity protection, currently, conventional approaches are frequently laborious and susceptible to mistakes. Convolutional Neural Networks (CNNs) provide a more reliable option for f...
Animals Birds Neural Networks, Computer Fuzzy Logic Pattern Recognition, Automated Convolutional Neural Networks Image Processing, Computer-Assisted
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A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism.

PloS one Jun 24, 2025
Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with...
Gases Algorithms Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer
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A method for feature division of Soccer Foul actions based on salience image semantics.

PloS one Jun 13, 2025
The purpose of this study is to realize the automatic identification and classification of fouls in football matches and improve the overall identification accuracy. Therefore, a Deep Learning-Based Saliency Prediction Model (DLSPM) is proposed. DLSP...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Video Recording Algorithms Deep Learning Soccer Semantics Pattern Recognition, Automated
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Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Neural networks : the official journal of the International Neural Network Society May 23, 2025
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...
Pattern Recognition, Automated Clothing Neural Networks, Computer User-Computer Interface Virtual Reality Image Processing, Computer-Assisted Humans
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An improved Red-billed blue magpie feature selection algorithm for medical data processing.

PloS one May 22, 2025
Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. In medical data analysis, the large number and complexity of features are often accompanied by redundant or irrelevant features,...
Data Mining Pattern Recognition, Automated Machine Learning Humans Algorithms
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EFCRFNet: A novel multi-scale framework for salient object detection.

PloS one May 22, 2025
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominent regions within images. Traditional methods and deep learning-based models often encounter challenges in capturing crucial information in complex sce...
Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Prototype-guided and dynamic-aware video anomaly detection.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Neural Networks, Computer Algorithms Humans Deep Learning Pattern Recognition, Automated Video Recording
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3D Micro-Expression Recognition Based on Adaptive Dynamic Vision.

Sensors (Basel, Switzerland) May 18, 2025
In the research on intelligent perception, dynamic emotion recognition has been the focus in recent years. Small samples and unbalanced data are the main reasons for the low recognition accuracy of current technologies. Inspired by circular convoluti...
Facial Expression Algorithms Emotions Imaging, Three-Dimensional Pattern Recognition, Automated Humans Neural Networks, Computer
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GCapNet-FSD: A heterogeneous Graph Capsule Network for Few-Shot object Detection.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
Few-shot object detection is a challenging task that aims to quickly adapt detectors to detect novel objects with only a minimal number of annotated examples. Although promising results have been achieved, performance still declines significantly whe...
Neural Networks, Computer Pattern Recognition, Automated Humans
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Scientific reports Apr 24, 2025
Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population and is characterized by difficulties in social communication and repetitive or obsessive behaviors. Early detection of autism is crucial, as it allows t...
Pattern Recognition, Automated Female Deep Learning Humans Neural Networks, Computer Male Image Processing, Computer-Assisted Autism Spectrum Disorder
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