AIMC Topic: Algorithms

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An adaptive sliding mode controller with free-will arbitrary time convergence for three-phase rectifiers in autonomous agricultural vehicles.

PloS one Aug 22, 2025
This study describes a novel adaptive free-will arbitrary time sliding mode controller (AFWATSMC) designed to improve the performance of a three-phase rectifier in an autonomous oil palm grabber vehicle (Robot Autonomous Mechanical Buffalo Grabber (M...
Agriculture Robotics Motor Vehicles 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 Humans Infrared Rays Algorithms Neural Networks, Computer Deep Learning
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FastDIP: An effective approach for accelerating unsupervised low-count PET image reconstruction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 21, 2025
INTRODUCTION: Unsupervised deep learning methods can improve the image quality of positron emission tomography (PET) images without the need for large-scale datasets. However, these approaches typically require training a distinct network for each pa...
Image Processing, Computer-Assisted Humans Algorithms Unsupervised Machine Learning Positron-Emission Tomography
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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 Machine Learning Cluster Analysis Computational Biology Single-Cell Analysis Humans Software Sequence Analysis, RNA 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...
Algorithms Deep Learning Humans Stress, Psychological 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...
Middle Aged ROC Curve Obesity Body Composition Body Mass Index Cross-Sectional Studies Male Female Electric Impedance Humans Supervised Machine Learning Adult Machine Learning Anthropometry Algorithms
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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...
Deep Learning Unmanned Aerial Devices Detection Algorithms 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 Deep Learning Cloud Computing Humans 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...
Random Forest Linear Models Male Middle Aged Peak Expiratory Flow Rate Machine Learning Algorithms Humans Adult Female Asthma
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