AIMC Topic: Computer Simulation

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Action-Driven Visual Object Tracking With Deep Reinforcement Learning.

IEEE transactions on neural networks and learning systems Jun 1, 2018
In this paper, we propose an efficient visual tracker, which directly captures a bounding box containing the target object in a video by means of sequential actions learned using deep neural networks. The proposed deep neural network to control track...
Visual Perception Reinforcement, Psychology Nonlinear Dynamics Video Recording Pattern Recognition, Automated Humans Algorithms Computer Simulation Deep Learning
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Multisource Transfer Double DQN Based on Actor Learning.

IEEE transactions on neural networks and learning systems Jun 1, 2018
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential ...
Computer Simulation Humans Reinforcement, Psychology Neural Networks, Computer Transfer, Psychology Machine Learning Algorithms
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A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation.

IEEE transactions on biomedical circuits and systems Apr 1, 2018
Simulation of brain neurons in real-time using biophysically meaningful models is a prerequisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experimen...
Mice Models, Neurological Neurons Neural Networks, Computer Computer Simulation Animals Olivary Nucleus
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Semi-supervised network inference using simulated gene expression dynamics.

Bioinformatics (Oxford, England) Apr 1, 2018
MOTIVATION: Inferring the structure of gene regulatory networks from high-throughput datasets remains an important and unsolved problem. Current methods are hampered by problems such as noise, low sample size, and incomplete characterizations of regu...
Supervised Machine Learning Gene Expression Regulation Computational Biology Sample Size Computer Simulation Models, Biological Gene Regulatory Networks
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Simulation and Synthesis in Medical Imaging.

IEEE transactions on medical imaging Mar 1, 2018
This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this editorial, we define so-far ambiguous terms of simulation and synthesis in medical imaging. We also briefly discuss the synergistic importance of mech...
Computer Simulation Image Processing, Computer-Assisted Diagnostic Imaging Humans Machine Learning
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Dynamics of coupled mode solitons in bursting neural networks.

Physical review. E Feb 1, 2018
Using an electrically coupled chain of Hindmarsh-Rose neural models, we analytically derived the nonlinearly coupled complex Ginzburg-Landau equations. This is realized by superimposing the lower and upper cutoff modes of wave propagation and by empl...
Neural Networks, Computer Computer Simulation Diffusion Nonlinear Dynamics
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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...
London Treatment Outcome Area Under Curve Liver Transplantation Waiting Lists Liver Diseases Donor Selection ROC Curve Tissue Donors Graft Survival Risk Assessment Time Factors Female Algorithms Reproducibility of Results Adult Decision Support Techniques Humans Risk Factors Male Computer Simulation Middle Aged Neural Networks, Computer
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In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2018
BACKGROUND: Thrombin is the central protease of the vertebrate blood coagulation cascade, which is closely related to cardiovascular diseases. The inhibitory constant Ki is the most significant property of thrombin inhibitors.
Thrombin Anticoagulants Computer Simulation Linear Models Humans Models, Molecular Drug Discovery Quantitative Structure-Activity Relationship Machine Learning Support Vector Machine Thermodynamics Molecular Structure
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Artificial neural network simulation of lower limb joint angles in normal and impaired human gait.

Acta of bioengineering and biomechanics Jan 1, 2018
PURPOSE: Simulating the complexities of lower limb motion can be useful for orthosis or rehabilitation planning. The aim of this study was to develop an artificial neural network (ANN) able to accurately simulate the changes in the angle of the ankle...
Joints Computer Simulation Female Gait Reproducibility of Results Hip Joint Humans Ankle Joint Young Adult Neural Networks, Computer Male Lower Extremity
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Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology.

Current topics in medicinal chemistry Jan 1, 2018
Machine Learning (ML) models are very useful to predict physicochemical properties of small organic molecules, proteins, proteomes, and complex systems. These methods may be useful to reduce the cost of research in terms of materials resources, time,...
Models, Chemical Chemistry, Pharmaceutical Chemistry Techniques, Synthetic Computer Simulation Animals Proteins Humans Machine Learning
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