AIMC Topic:
Models, Theoretical

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Morphological Computation of Haptic Perception of a Controllable Stiffness Probe.

PloS one Jun 3, 2016
When people are asked to palpate a novel soft object to discern its physical properties such as texture, elasticity, and even non-homogeneity, they not only regulate probing behaviors, but also the co-contraction level of antagonistic muscles to cont...
Phantoms, Imaging Touch Perception Robotics Mechanoreceptors Humans Fingers Models, Theoretical Perception
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Evaluating the ability of artificial neural network and PCA-M5P models in predicting leachate COD load in landfills.

Waste management (New York, N.Y.) Jun 2, 2016
Waste burial in uncontrolled landfills can cause serious environmental damages and unpleasant consequences. Leachates produced in landfills have the potential to contaminate soil and groundwater resources. Leachate management is one of the major issu...
Neural Networks, Computer Water Pollution Biological Oxygen Demand Analysis Waste Disposal Facilities Models, Theoretical Water Pollutants, Chemical Principal Component Analysis
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Optimization of Operation Parameters for Helical Flow Cleanout with Supercritical CO2 in Horizontal Wells Using Back-Propagation Artificial Neural Network.

PloS one Jun 1, 2016
Sand production and blockage are common during the drilling and production of horizontal oil and gas wells as a result of formation breakdown. The use of high-pressure rotating jets and annular helical flow is an effective way to enhance horizontal w...
Models, Theoretical Carbon Dioxide Neural Networks, Computer Water
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Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?

Expert opinion on drug discovery May 30, 2016
INTRODUCTION: Artificial neural networks (ANNs) are highly adaptive nonlinear optimization algorithms that have been applied in many diverse scientific endeavors, ranging from economics, engineering, physics, and chemistry to medical science. Notably...
Nonlinear Dynamics Quantitative Structure-Activity Relationship Models, Theoretical Pharmaceutical Preparations Humans Neural Networks, Computer Algorithms Animals Drug Design Drug Discovery
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Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 27, 2016
BACKGROUND AND PURPOSE: Severe acute mucositis commonly results from head and neck (chemo)radiotherapy. A predictive model of mucositis could guide clinical decision-making and inform treatment planning. We aimed to generate such a model using spatia...
Radiation Injuries Stomatitis Probability Radiotherapy Dosage Male Logistic Models Models, Theoretical Head and Neck Neoplasms Acute Disease Machine Learning Clinical Decision-Making Female Humans
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Tracing Road Network Bottleneck by Data Driven Approach.

PloS one May 26, 2016
Urban road congestions change both temporally and spatially. They are essentially caused by network bottlenecks. Therefore, understanding bottleneck dynamics is critical in the goal of reasonably allocating transportation resources. In general, a typ...
Humans Models, Theoretical Neural Networks, Computer Transportation Databases, Factual Urban Renewal
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Co-combustion of peanut hull and coal blends: Artificial neural networks modeling, particle swarm optimization and Monte Carlo simulation.

Bioresource technology May 24, 2016
Co-combustion of coal and peanut hull (PH) were investigated using artificial neural networks (ANN), particle swarm optimization, and Monte Carlo simulation as a function of blend ratio, heating rate, and temperature. The best prediction was reached ...
Uncertainty Algorithms Temperature Models, Theoretical Neural Networks, Computer Coal Arachis Monte Carlo Method
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Analysis of complex neural circuits with nonlinear multidimensional hidden state models.

Proceedings of the National Academy of Sciences of the United States of America May 24, 2016
A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamica...
Humans Animals Male Rats Neural Networks, Computer Algorithms Brain Neurons Markov Chains Rats, Long-Evans Models, Theoretical Decision Making
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Adaptive Neuro-Fuzzy Determination of the Effect of Experimental Parameters on Vehicle Agent Speed Relative to Vehicle Intruder.

PloS one May 24, 2016
Intelligent Transportation Systems rely on understanding, predicting and affecting the interactions between vehicles. The goal of this paper is to choose a small subset from the larger set so that the resulting regression model is simple, yet have go...
Fuzzy Logic Neural Networks, Computer Motor Vehicles Algorithms Models, Theoretical
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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values.

PloS one May 19, 2016
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious ...
Databases, Factual Electronic Health Records Models, Theoretical Support Vector Machine Regression Analysis Benchmarking Humans Software False Positive Reactions Algorithms Data Mining Health Services Research Medical Informatics
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