AIMC Topic: Algorithms

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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Algorithms Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Lung Lung Diseases Convolutional Neural Networks Humans Neural Networks, Computer
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Bayes Theorem Ghana Hospitals, District Logistic Models Support Vector Machine Humans Machine Learning Pregnancy Cross-Sectional Studies Algorithms Female Young Adult Retrospective Studies Cesarean Section Adult ROC Curve Decision Support Systems, Clinical
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases.

Scientific reports Jul 2, 2025
The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. As observed, the manual inspection to the illness is often inefficient and error-prone, particularly under conditions...
Neural Networks, Computer Algorithms Crops, Agricultural Plant Diseases Plant Leaves
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A human activity recognition model based on deep neural network integrating attention mechanism.

Scientific reports Jul 2, 2025
Human Activity Recognition (HAR) is crucial in multiple fields. Existing HAR techniques include manual feature extraction, codebook-based methods, and deep learning, each with limitations. This paper presents DCAM-Net (DeepConvAttentionMLPNet), a nov...
Attention Human Activities Algorithms Humans Male Smartphone Neural Networks, Computer Deep Learning
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports Jul 2, 2025
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...
Voice Autoencoder Deep Learning Speech Neural Networks, Computer Humans Algorithms
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A dual path graph neural network framework for dementia diagnosis.

Scientific reports Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Nerve Net Graph Neural Networks Neural Networks, Computer Algorithms Dementia Magnetic Resonance Imaging Brain Humans
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX).

Scientific reports Jul 2, 2025
Generative Counterfactual Explainable Artificial Intelligence (XAI) offers a novel approach to understanding how AI models interpret electrocardiograms (ECGs). Traditional explanation methods focus on highlighting important ECG segments but often fai...
Humans Artificial Intelligence Algorithms Atrial Fibrillation Male Electrocardiography Female
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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports Jul 2, 2025
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition...
Humans Machine Learning NAD Time-Lapse Imaging Glucose Algorithms Saccharomyces cerevisiae Glycolysis Optical Imaging
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports Jul 2, 2025
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase...
Information Storage and Retrieval Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms
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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
Humans Machine Learning False Positive Reactions Computer Security Federated Learning Electronic Health Records ROC Curve Algorithms
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