AIMC Topic: Algorithms

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ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from x-ray images.

Biomedical physics & engineering express Jul 21, 2025
This study aims to enhance the accuracy of pneumonia diagnosis from x-ray images by developing a model that integrates Vision Transformer (ViT) and Graph Convolutional Networks (GCN) for improved feature extraction and diagnostic performance. The ViT...
Pneumonia Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2 Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Databases, Factual COVID-19
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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction.

PloS one Jul 21, 2025
Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dippe...
Agricultural Irrigation Animals Deep Learning Water Quality Crops, Agricultural Agriculture Algorithms
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Resource trading strategies with risk selection in collaborative training market.

PloS one Jul 21, 2025
The rapid development of edge computing and artificial intelligence has brought growing interest in collaborative training. While prior research has addressed technical aspects of resource allocation, less attention has been paid to the underlying ec...
Artificial Intelligence Algorithms Computer Simulation Humans Investments Resource Allocation Commerce Cooperative Behavior Models, Economic
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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PloS one Jul 21, 2025
The dynamical growth of cyber threats in IoT setting requires smart and scalable intrusion detection systems. In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select ...
Humans Machine Learning Internet of Things Computer Security Algorithms Ensemble Learning
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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit.

BMC bioinformatics Jul 20, 2025
BACKGROUND: Identification of drug target interactions (DTI) is an important part of the drug discovery process. Since prediction of DTI using laboratory tests is time consuming and laborious, automated tools using computational intelligence (CI) tec...
Algorithms Computational Biology Drug Discovery Humans Deep Learning Machine Learning
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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia.

Scientific reports Jul 20, 2025
Fertility preferences significantly influence population dynamics and reproductive health outcomes, particularly in low-resource settings, such as Somalia, where high fertility rates and limited healthcare infrastructure pose significant challenges. ...
Cross-Sectional Studies Humans Middle Aged Algorithms Machine Learning Adolescent Young Adult Female Fertility Adult Somalia
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Newborn Pulse-Oximetry Screening.

Clinics in perinatology Jul 19, 2025
Pulse oximetry screening (POS) is a noninvasive tool for the detection of critical congenital heart defects (CCHD) that has moderate sensitivity and high specificity. It is readily accepted by parents and health care professional and has significantl...
Humans Neonatal Screening Algorithms Heart Defects, Congenital Infant, Newborn Oximetry Machine Learning
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Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks.

Scientific reports Jul 19, 2025
Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inher...
Wavelet Analysis Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Algorithms Deep Learning Humans Neural Networks, Computer Machine Learning
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Scientific reports Jul 19, 2025
Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. Factors affecting maternal and fetal health during early to mid-pregnancy can greatly influence fetal development....
Humans Machine Learning Algorithms Artificial Intelligence Birth Weight Pregnancy Prospective Studies Adult Female Biomarkers Infant, Newborn
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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Scientific reports Jul 19, 2025
Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy ...
Machine Learning Trees Water Fruit Soil Forests China Algorithms
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