AIMC Topic:
Computer Simulation

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Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience.

Accident; analysis and prevention Jan 17, 2019
This study presents the work in predicting crash risk on expressways with consideration of both the impact of safety critical events and traffic conditions. The traffic resilience theory is introduced to learn safety problems from the standpoint of 1...
China Environment Design Accidents, Traffic Safety Automobile Driving Built Environment Neural Networks, Computer Computer Simulation Risk Assessment Humans
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An Efficient Population Density Method for Modeling Neural Networks with Synaptic Dynamics Manifesting Finite Relaxation Time and Short-Term Plasticity.

eNeuro Jan 17, 2019
When incorporating more realistic synaptic dynamics, the computational efficiency of population density methods (PDMs) declines sharply due to the increase in the dimension of master equations. To avoid such a decline, we develop an efficient PDM, te...
Nonlinear Dynamics Population Density Computer Simulation Action Potentials Animals Neurons Neuronal Plasticity Time Factors Models, Neurological Humans Neural Networks, Computer
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State-Space Representations of Deep Neural Networks.

Neural computation Jan 15, 2019
This letter deals with neural networks as dynamical systems governed by finite difference equations. It shows that the introduction of -many skip connections into network architectures, such as residual networks and additive dense networks, defines ...
Neural Networks, Computer Computer Simulation
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Machine learning framework for assessment of microbial factory performance.

PloS one Jan 15, 2019
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess conditions. On the other han...
Models, Biological Metabolic Engineering Computer Simulation Machine Learning Reproducibility of Results Algorithms Escherichia coli Databases, Factual
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Task representations in neural networks trained to perform many cognitive tasks.

Nature neuroscience Jan 14, 2019
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti...
Neurons Neural Networks, Computer Brain Models, Neurological Humans Computer Simulation Decision Making Learning Cognition Memory, Short-Term
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Multi-task learning improves ancestral state reconstruction.

Theoretical population biology Jan 11, 2019
We consider the ancestral state reconstruction problem where we need to infer phenotypes of ancestors using observations from present-day species. For this problem, we propose a multi-task learning method that uses regularized maximum likelihood to e...
Mammals Likelihood Functions Stochastic Processes Animals Phylogeny Models, Biological Biological Evolution Humans Machine Learning Phenotype Computer Simulation Learning
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Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

PloS one Jan 11, 2019
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving tumor target can be accomplished either by moving the radiation source, the patient, or both. As the treatment beam is on during this process, the pri...
Male Computer Systems Robotics Prostatic Neoplasms Humans Computer Simulation Head Movements Robotic Surgical Procedures Motion Radiosurgery Radiotherapy Planning, Computer-Assisted Patient Positioning Phantoms, Imaging
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A review on machine learning methods for in silico toxicity prediction.

Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews Jan 10, 2019
In silico toxicity prediction plays an important role in the regulatory decision making and selection of leads in drug design as in vitro/vivo methods are often limited by ethics, time, budget, and other resources. Many computational methods have bee...
Toxicity Tests Support Vector Machine Machine Learning Environmental Pollutants Algorithms Quantitative Structure-Activity Relationship Computer Simulation
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Machine learning models for predicting endocrine disruption potential of environmental chemicals.

Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews Jan 10, 2019
We introduce here ML4Tox, a framework offering Deep Learning and Support Vector Machine models to predict agonist, antagonist, and binding activities of chemical compounds, in this case for the estrogen receptor ligand-binding domain. The ML4Tox mode...
Receptors, Estrogen Machine Learning Protein Binding Quantitative Structure-Activity Relationship Computer Simulation Toxicity Tests Support Vector Machine Endocrine Disruptors Environmental Pollutants
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Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Biomedical engineering online Jan 3, 2019
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...
Equipment Design Signal Processing, Computer-Assisted Electromyography Male Middle Aged Robotics Healthy Volunteers Calibration Movement Anterior Cruciate Ligament Injuries Knee Joint Electrodes Exercise Therapy Humans Algorithms Adult Computer Simulation Biomechanical Phenomena Young Adult
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