AIMC Topic: Reinforcement Machine Learning

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Deep reinforcement learning for multi-targets propofol dosing.

Journal of clinical monitoring and computing Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
Humans Reinforcement Machine Learning Consciousness Monitors Anesthesia, General Deep Learning Electroencephalography Propofol Anesthetics, Intravenous Hypnotics and Sedatives Algorithms Heart Rate Computer Simulation Arterial Pressure Respiratory Rate
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Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey.

Bioinspiration & biomimetics Mar 5, 2025
Animals have to navigate complex environments and perform intricate swimming maneuvers in the real world. To conquer these challenges, animals evolved a variety of motion control strategies. While it is known that many factors contribute to motion co...
Deep Learning Robotics Models, Biological Computer Simulation Biomechanical Phenomena Animals Feedback, Sensory Lampreys Swimming Locomotion Reinforcement Machine Learning Neural Networks, Computer
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Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Accident; analysis and prevention Mar 4, 2025
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the dev...
Accidents, Traffic Safety Reinforcement Machine Learning Avoidance Learning Unmanned Aerial Devices Humans Models, Theoretical Algorithms Environment Design Computer Simulation Pedestrians Deep Learning Time Factors
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Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Human activity recognition (HAR) is a popular research field in computer vision that has already been widely studied. However, it is still an active research field since it plays an important role in many current and emerging real-world intelligent s...
Human Activities Reinforcement, Psychology Neural Networks, Computer Humans Reinforcement Machine Learning Deep Learning Pattern Recognition, Automated
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SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning.

Scientific reports Feb 26, 2025
Wearable devices face a significant challenge in balancing battery life with performance, often leading to frequent recharging and reduced user satisfaction. In this paper, we introduce the SmartAPM (Smart Adaptive Power Management) framework, a nove...
Humans Algorithms Deep Learning Wearable Electronic Devices Electric Power Supplies Reinforcement Machine Learning
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Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.

Scientific reports Feb 25, 2025
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm incorporating the segment anything model (SAM) to enhance the accuracy of automatic contouring organs at risk during radiotherapy for cervical cancer...
Organs at Risk Radiotherapy Planning, Computer-Assisted Reinforcement Machine Learning Uterine Cervical Neoplasms Humans Middle Aged Female Algorithms Adult Deep Learning Tomography, X-Ray Computed
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Multi-agent deep reinforcement learning-based robotic arm assembly research.

PloS one Feb 18, 2025
Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. To address these issu...
Reinforcement, Psychology Computer Simulation Deep Learning Humans Reinforcement Machine Learning Robotics Algorithms
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Determining human resource management key indicators and their impact on organizational performance using deep reinforcement learning.

Scientific reports Feb 17, 2025
Performance-related indicators are crucial for evaluating and forecasting performance, enhancing decision-making efficiency, and establishing sustainable growth strategies. They motivate individuals and organizations, increase transparency, and accur...
Efficiency, Organizational Reinforcement Machine Learning Humans Neural Networks, Computer Deep Learning
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A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data.

IEEE journal of biomedical and health informatics Feb 10, 2025
The machine learning-based model is a promising paradigm for predicting invasive disease events (iDEs) in breast cancer. Feature selection (FS) is an essential preprocessing technique employed to identify the pertinent features for the prediction mod...
Neoplasm Invasiveness Datasets as Topic Humans Reinforcement Machine Learning Prognosis Female Breast Neoplasms
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A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

Medical & biological engineering & computing Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Coronary Vessels Coronary Angiography Computed Tomography Angiography Coronary Artery Disease Reinforcement Machine Learning Artifacts
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