AIMC Topic:
Models, Theoretical

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Managing bioengineering complexity with AI techniques.

Bio Systems Sep 3, 2015
Our capabilities for systematic design and engineering of biological systems are rapidly increasing. Effectively engineering such systems, however, requires the synthesis of a rapidly expanding and changing complex body of knowledge, protocols, and m...
Models, Theoretical Synthetic Biology Automation, Laboratory Bioengineering Humans Computational Biology Artificial Intelligence Systems Biology
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Prediction of facial deformation after complete denture prosthesis using BP neural network.

Computers in biology and medicine Sep 1, 2015
With the accelerated aging of world population, complete denture prosthesis plays an increasingly important role in mouth rehabilitation. In addition to recovering stomatognathic system function, restoring the appearance of a third of the area under ...
Computer Simulation Humans Neural Networks, Computer Tomography, X-Ray Computed Regression Analysis Denture, Complete Models, Theoretical Elasticity Imaging, Three-Dimensional Medical Informatics Mouth, Edentulous
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Semi-Supervised Fuzzy Clustering with Feature Discrimination.

PloS one Sep 1, 2015
Semi-supervised clustering algorithms are increasingly employed for discovering hidden structure in data with partially labelled patterns. In order to make the clustering approach useful and acceptable to users, the information provided must be simpl...
Cluster Analysis Algorithms Models, Theoretical Artificial Intelligence Fuzzy Logic
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A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2015
Hierarchical deep neural networks are currently popular learning models for imitating the hierarchical architecture of human brain. Single-layer feature extractors are the bricks to build deep networks. Sparse feature learning models are popular mode...
Learning Models, Theoretical Artificial Intelligence Algorithms Computer Simulation Humans Neural Networks, Computer
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Bifunctional composite from spent "Cyprus coffee" for tetracycline removal and phenol degradation: Solar-Fenton process and artificial neural network.

International journal of biological macromolecules Aug 28, 2015
Removals of tetracycline and photocatalytic degradation of phenol by Fe3O4/coffee residue (MCC) were investigated. Brunauer-Emmett-Teller (BET), vibrating sample magnetometer (VSM) and Boehm titration were employed to characterize MCC. Artificial neu...
Spectroscopy, Fourier Transform Infrared Adsorption Catalysis Time Factors Models, Theoretical Oxidants Hydrogen-Ion Concentration Rheology Iron Kinetics Temperature Hydrogen Peroxide Neural Networks, Computer Phenol Coffee Tetracycline Waste Products Sunlight
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A Complex Network Approach to Stylometry.

PloS one Aug 27, 2015
Statistical methods have been widely employed to study the fundamental properties of language. In recent years, methods from complex and dynamical systems proved useful to create several language models. Despite the large amount of studies devoted to...
Models, Theoretical Fuzzy Logic Natural Language Processing Humans
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Reinforcement learning solution for HJB equation arising in constrained optimal control problem.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2015
The constrained optimal control problem depends on the solution of the complicated Hamilton-Jacobi-Bellman equation (HJBE). In this paper, a data-based off-policy reinforcement learning (RL) method is proposed, which learns the solution of the HJBE a...
Computer Simulation Neural Networks, Computer Problem Solving Nonlinear Dynamics Models, Theoretical Machine Learning Reinforcement, Psychology Algorithms
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Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.

Neural networks : the official journal of the International Neural Network Society Aug 21, 2015
A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approache...
Neural Networks, Computer Algorithms Models, Theoretical Classification Causality Entropy Computer Simulation
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The role of regulation in the origin and synthetic modelling of minimal cognition.

Bio Systems Aug 19, 2015
In this paper we address the question of minimal cognition by investigating the origin of some crucial cognitive properties from the very basic organisation of biological systems. More specifically, we propose a theoretical model of how a system can ...
Models, Theoretical Metabolic Networks and Pathways Humans Synthetic Biology Environment Artificial Intelligence Animals Cognition
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Robotic Billiards: Understanding Humans in Order to Counter Them.

IEEE transactions on cybernetics Aug 19, 2015
Ongoing technological advances in the areas of computation, sensing, and mechatronics enable robotic-based systems to interact with humans in the real world. To succeed against a human in a competitive scenario, a robot must anticipate the human beha...
Humans Models, Theoretical Robotics Social Behavior Decision Making
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