AIMC Topic: Computer Simulation

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A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 5, 2014
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown great potential in prostate cancer diagnosis and staging. In the current practice of DCE-MRI, diagnosis is based on quantitative parameters extracted fr...
Principal Component Analysis Data Interpretation, Statistical Prostatic Neoplasms Middle Aged Magnetic Resonance Imaging Multimodal Imaging Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Algorithms Computer Simulation Reproducibility of Results Aged Sensitivity and Specificity Male Humans Machine Learning
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Adaptive neural control for dual-arm coordination of humanoid robot with unknown nonlinearities in output mechanism.

IEEE transactions on cybernetics Jun 24, 2014
To achieve an excellent dual-arm coordination of the humanoid robot, it is essential to deal with the nonlinearities existing in the system dynamics. The literatures so far on the humanoid robot control have a common assumption that the problem of ou...
Cybernetics Equipment Design Nonlinear Dynamics Humans Neural Networks, Computer Computer Simulation Robotics
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Hodge-Kodaira decomposition of evolving neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 9, 2014
Although it is very important to scrutinize recurrent structures of neural networks for elucidating brain functions, conventional methods often have difficulty in characterizing global loops within a network systematically. Here we applied the Hodge-...
Nonlinear Dynamics Nerve Net Algorithms Computer Simulation Cluster Analysis Humans Neural Networks, Computer Artificial Intelligence
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A lifelong learning hyper-heuristic method for bin packing.

Evolutionary computation Jun 3, 2014
We describe a novel hyper-heuristic system that continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; and representative problems and h...
Machine Learning Algorithms Computer Simulation Models, Theoretical
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Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks.

IEEE transactions on cybernetics May 16, 2014
Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates' socia...
Wireless Technology Cybernetics Security Measures Computer Simulation Models, Biological Behavior, Animal Communication Macaca mulatta Animals Robotics
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PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.

Magnetic resonance in medicine Feb 14, 2014
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
Image Interpretation, Computer-Assisted Spinal Cord Pattern Recognition, Automated Image Enhancement Systems Integration Subtraction Technique Sensitivity and Specificity Magnetic Resonance Imaging Models, Statistical Brain Humans Principal Component Analysis Computer Simulation Machine Learning Data Interpretation, Statistical Reproducibility of Results Algorithms
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Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.

mAbs Dec 1, 2025
Throughout the lifecycle of biopharmaceutical development and manufacturing, monoclonal antibodies (mAbs) are subjected to diverse interfacial stresses and encounter various container surfaces. These interactions can cause the formation of subvisible...
Antibodies, Monoclonal Computer Simulation Quartz Crystal Microbalance Techniques Adsorption Humans Particle Size Machine Learning
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Antioxidant bioactivity of sunflower protein hydrolysates in Caco-2 cells and in silico structural properties.

Food chemistry Sep 30, 2025
Sunflower protein hydrolysate (SPH), with 95 % reduced phenolic content, was studied for its protective effects against oxidative stress in intestinal cells (Caco-2). Produced via alcalase hydrolysis, SPH's molecular weight, amino acid composition, a...
Tandem Mass Spectrometry Hydrophobic and Hydrophilic Interactions Molecular Weight Oxidative Stress Antioxidants Humans Caco-2 Cells Computer Simulation Plant Proteins Protein Hydrolysates Helianthus
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Predicting in vitro assays related to liver function using probabilistic machine learning.

Toxicology Sep 1, 2025
While machine learning has gained traction in toxicological assessments, the limited data availability requires the quantification of uncertainty of in silico predictions for reliable decision-making. This study addresses the challenge of predicting ...
Reactive Oxygen Species Hepatocytes Toxicity Tests Chemical and Drug Induced Liver Injury Humans Computer Simulation Machine Learning Animals Liver
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Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
This study examines the global Mittag-Leffler synchronization (GMLS) problem for fractional-order Clifford-valued neural networks (FOCLVNNs) including transmission delays and impulses. Firstly, a novel kind of FOCLVNNs is developed that incorporates ...
Neural Networks, Computer Algorithms Computer Simulation
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