AIMC Topic: Algorithms

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Principal component conditional generative adversarial networks for imbalanced ECG classification enhancement.

PloS one Aug 22, 2025
With over a century of development, electrocardiogram (ECG) diagnostics has become the preferred tool for healthcare professionals in cardiovascular disease diagnosis and monitoring. As wearable devices and mobile monitoring technologies become wides...
Principal Component Analysis Signal Processing, Computer-Assisted Generative Adversarial Networks Algorithms Electrocardiography Humans Neural Networks, Computer
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Progressive decomposition of infrared and visible image fusion network with joint transformer and Resnet.

PloS one Aug 22, 2025
The objective of image fusion is to synthesize information from multiple source images into a single, high-quality composite that is information-rich, thereby enhancing both human visual interpretation and machine perception capabilities. This proces...
Image Processing, Computer-Assisted Algorithms Infrared Rays Humans Deep Learning Neural Networks, Computer
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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data.

BMC genomics Aug 21, 2025
BACKGROUND: Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between cells. Current methods struggle to simultaneously preserve global structure, model cellul...
Algorithms Single-Cell Analysis Sequence Analysis, RNA Cluster Analysis Machine Learning Computational Biology Humans Software Neural Networks, Computer
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A novel and efficient personalized stress detection technique using a deep learning model.

Scientific reports Aug 21, 2025
Stress is a type of mental tension or escalated psycho-physiological state of the human body caused by a problematic situation. It majorly affects adults and elders, which further leads to chronic health problems and heart-related diseases. Various t...
Deep Learning Stress, Psychological Humans Algorithms Social Media
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Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis.

Scientific reports Aug 21, 2025
The accurate classification of obesity is essential for public health and clinical decision-making. Traditional anthropometric measures such as body mass index (BMI) have limitations in differentiating between fat and lean mass. This study aimed to e...
ROC Curve Body Mass Index Body Composition Supervised Machine Learning Obesity Male Middle Aged Adult Cross-Sectional Studies Machine Learning Algorithms Humans Female Anthropometry Electric Impedance
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An improved YOLOv8s-based UAV target detection algorithm.

PloS one Aug 21, 2025
At present, the low-altitude economy is booming, and the application of drones has shown explosive growth, injecting new vitality into economic development. UAVs will face complex environmental perception and security risks when operating in low airs...
Detection Algorithms Deep Learning Unmanned Aerial Devices Algorithms
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An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing.

PloS one Aug 21, 2025
With the increasing popularity of cloud computing services, their large and dynamic load characteristics have rendered task scheduling an NP-complete problem.To address the problem of large-scale task scheduling in a cloud computing environment, this...
Reinforcement Machine Learning Humans Deep Learning Cloud Computing Algorithms
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A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model.

PloS one Aug 21, 2025
Asthma is a frequent and long-lasting disorder associated with airway inflammation. The disease severity may lead to serious health concerns and even mortality. In this work, we propose a novel hybrid approach using machine learning models and simila...
Peak Expiratory Flow Rate Random Forest Linear Models Female Adult Male Middle Aged Asthma Machine Learning Algorithms Humans
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EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification.

PloS one Aug 21, 2025
The classification of hyperspectral images (HSI) is an important foundation in the field of remote sensing. Mamba architectures based on state space model (SSM) have shown great potential in the field of HSI processing due to their powerful long-rang...
Algorithms Models, Theoretical Remote Sensing Technology Hyperspectral Imaging Deep Learning Image Processing, Computer-Assisted
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Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine.

Proceedings of the National Academy of Sciences of the United States of America Aug 20, 2025
AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays ...
Humans Neoplasms Liquid Biopsy Uncertainty Artificial Intelligence Algorithms
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