AIMC Topic: Computer Simulation

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A similarity-based data warehousing environment for medical images.

Computers in biology and medicine Sep 5, 2015
A core issue of the decision-making process in the medical field is to support the execution of analytical (OLAP) similarity queries over images in data warehousing environments. In this paper, we focus on this issue. We propose imageDWE, a non-conve...
Decision Making Diagnostic Imaging Information Storage and Retrieval Humans Head Knee Databases, Factual Male Brain Middle Aged Computer Simulation Adolescent Female Child Artificial Intelligence Aged Algorithms Adult Decision Support Techniques Breast Neoplasms
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Test-retest reliability of KINARM robot sensorimotor and cognitive assessment: in pediatric ice hockey players.

Journal of neuroengineering and rehabilitation Sep 5, 2015
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early diagnosis and management of concussion across the continuum of aging but particularly in children and adolescents. The purpose of the current study was t...
Brain Concussion Practice, Psychological Hockey Cognition Treatment Outcome Longitudinal Studies Robotics Psychomotor Performance Sensation Neuropsychological Tests Biomechanical Phenomena Male Adolescent Child Prognosis Learning Reproducibility of Results Humans Prospective Studies Computer Simulation
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Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.

IEEE/ACM transactions on computational biology and bioinformatics Sep 4, 2015
Feature selection is an important data-preprocessing technique in classification problems such as bioinformatics and signal processing. Generally, there are some situations where a user is interested in not only maximizing the classification performa...
Models, Statistical Biomimetics Pattern Recognition, Automated Crowding Machine Learning Algorithms Computer Simulation
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Budget constrained non-monotonic feature selection.

Neural networks : the official journal of the International Neural Network Society Sep 4, 2015
Feature selection is an important problem in machine learning and data mining. We consider the problem of selecting features under the budget constraint on the feature subset size. Traditional feature selection methods suffer from the "monotonic" pro...
Fires Data Mining Housing Databases, Factual Computer Simulation Artificial Intelligence Benchmarking Machine Learning Algorithms
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Neural-Network Scoring Functions Identify Structurally Novel Estrogen-Receptor Ligands.

Journal of chemical information and modeling Sep 4, 2015
The magnitude of the investment required to bring a drug to the market hinders medical progress, requiring hundreds of millions of dollars and years of research and development. Any innovation that improves the efficiency of the drug-discovery proces...
Models, Biological Ligands Molecular Conformation Computer Simulation Receptors, Estrogen Drug Discovery Protein Binding Humans Estradiol Neural Networks, Computer Databases, Factual
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A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input.

IEEE transactions on neural networks and learning systems Sep 3, 2015
In this paper, an effective adaptive control approach is constructed to stabilize a class of nonlinear discrete-time systems, which contain unknown functions, unknown dead-zone input, and unknown control direction. Different from linear dead zone, th...
Humans Neural Networks, Computer Nonlinear Dynamics Algorithms Computer Simulation Time Factors
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Networks that learn the precise timing of event sequences.

Journal of computational neuroscience Sep 3, 2015
Neuronal circuits can learn and replay firing patterns evoked by sequences of sensory stimuli. After training, a brief cue can trigger a spatiotemporal pattern of neural activity similar to that evoked by a learned stimulus sequence. Network models s...
Time Perception Nerve Net Time Neural Networks, Computer Pyramidal Cells Machine Learning Computer Simulation Learning Humans Neuronal Plasticity Models, Neurological Synapses
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Slithering towards autonomy: a self-contained soft robotic snake platform with integrated curvature sensing.

Bioinspiration & biomimetics Sep 3, 2015
Soft robotic snakes promise significant advantages in achieving traveling curvature waves with a reduced number of active segments as well as allowing for safe and adaptive interaction with the environment and human users. However, current soft robot...
Machine Learning Computer Simulation Animals Computer-Aided Design Models, Biological Motion Biomimetics Sensation Robotics Equipment Design Gait Feedback, Physiological Spatial Navigation Snakes Pressure Equipment Failure Analysis Systems Integration
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Regular graphs maximize the variability of random neural networks.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 3, 2015
In this work we study the dynamics of systems composed of numerous interacting elements interconnected through a random weighted directed graph, such as models of random neural networks. We develop an original theoretical approach based on a combinat...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem.

Computational intelligence and neuroscience Sep 2, 2015
Teaching-learning-based optimization (TLBO) algorithm is proposed in recent years that simulates the teaching-learning phenomenon of a classroom to effectively solve global optimization of multidimensional, linear, and nonlinear problems over continu...
Teaching Computer Simulation Humans Learning Artificial Intelligence Nonlinear Dynamics Algorithms Problem Solving
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