AIMC Topic: Computer Simulation

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Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents.

Scientific reports Mar 12, 2025
This study investigates the utilization of three regression models, i.e., Kernel Ridge Regression (KRR), nu-Support Vector Regression ([Formula: see text]-SVR), and Polynomial Regression (PR) for the purpose of forecasting the concentration (C) of a ...
Porosity Pharmaceutical Preparations Algorithms Machine Learning Computer Simulation Adsorption
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A fuzzy robust optimization model for dual objective forward and reverse logistics networks considering carbon emissions.

PloS one Mar 11, 2025
The inherent unpredictability within the low-carbon integrated supply chain logistics network complicates its management. This paper endeavours to address the challenge of designing a low-carbon logistics network within a context of uncertainty and w...
Models, Theoretical Fuzzy Logic Carbon Algorithms Computer Simulation
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Physics-informed machine learning for automatic model reduction in chemical reaction networks.

Scientific reports Mar 7, 2025
Physics-informed machine learning bridges the gap between the high fidelity of mechanistic models and the adaptive insights of artificial intelligence. In chemical reaction network modeling, this synergy proves valuable, addressing the high computati...
Computer Simulation Models, Chemical Amyloid beta-Peptides Kinetics Alzheimer Disease Humans Machine Learning Algorithms
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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...
Hypnotics and Sedatives Anesthesia, General Electroencephalography Computer Simulation Deep Learning Propofol Respiratory Rate Humans Reinforcement Machine Learning Algorithms Consciousness Monitors Anesthetics, Intravenous Heart Rate Arterial Pressure
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Mechanical Structure Design and Motion Simulation Analysis of a Lower Limb Exoskeleton Rehabilitation Robot Based on Human-Machine Integration.

Sensors (Basel, Switzerland) Mar 6, 2025
Population aging is an inevitable trend in contemporary society, and the application of technologies such as human-machine interaction, assistive healthcare, and robotics in daily service sectors continues to increase. The lower limb exoskeleton reha...
Gait Humans Man-Machine Systems Biomechanical Phenomena Motion Neural Networks, Computer Rehabilitation Robotics Fuzzy Logic Computer Simulation Equipment Design Exoskeleton Device Lower Extremity Walking
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PROPERMAB: an integrative framework for prediction of antibody developability using machine learning.

mAbs Mar 5, 2025
Selection of lead therapeutic molecules is often driven predominantly by pharmacological efficacy and safety. Candidate developability, such as biophysical properties that affect the formulation of the molecule into a product, is usually evaluated on...
Computer Simulation Antibodies, Monoclonal Humans Machine Learning
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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...
Humans Pedestrians Accidents, Traffic Safety Reinforcement Machine Learning Avoidance Learning Unmanned Aerial Devices Algorithms Time Factors Computer Simulation Models, Theoretical Deep Learning Environment Design
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Enhancing Blood-Brain Barrier Penetration Prediction by Machine Learning-Based Integration of Novel and Existing, In Silico and Experimental Molecular Parameters from a Standardized Database.

Journal of chemical information and modeling Mar 4, 2025
Predicting blood-brain barrier (BBB) penetration is crucial for developing central nervous system (CNS) drugs, representing a significant hurdle in successful clinical phase I studies. One of the most valuable properties for this prediction is the po...
Machine Learning Databases, Factual Computer Simulation Blood-Brain Barrier Biological Transport Humans
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Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations.

Biomedical physics & engineering express Mar 4, 2025
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health challenge, emphasizing the continuous need for research. This simulation study uses polarized Monte Carlo approach to identify and locate breast cancer...
Humans Deep Learning Image Processing, Computer-Assisted Carcinoma, Ductal, Breast Monte Carlo Method Computer Simulation Neural Networks, Computer Female Algorithms Breast Neoplasms
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