AIMC Topic:
Models, Theoretical

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Adaptable, high recall, event extraction system with minimal configuration.

BMC bioinformatics Jul 13, 2015
BACKGROUND: Biomedical event extraction has been a major focus of biomedical natural language processing (BioNLP) research since the first BioNLP shared task was held in 2009. Accordingly, a large number of event extraction systems have been develope...
Humans Genes Neoplasms Models, Theoretical Knowledge Bases Gene Regulatory Networks Natural Language Processing Information Storage and Retrieval
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Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.

Environmental science and pollution research international Jul 11, 2015
Binding affinity of chemical to carbon is an important characteristic as it finds vast industrial applications. Experimental determination of the adsorption capacity of diverse chemicals onto carbon is both time and resource intensive, and developmen...
Models, Theoretical Quantitative Structure-Activity Relationship Adsorption Hazardous Substances Charcoal Industrial Waste Carbon Artificial Intelligence Algorithms
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ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.

Environmental monitoring and assessment Jul 9, 2015
The present study explores for the first time the possibility of modelling sediment concentration with artificial neural networks (ANNs) at Gangotri, the source of Bhagirathi River in the Himalaya. Discharge, rainfall and temperature have been consid...
Rain India Models, Theoretical Rivers Geologic Sediments Environmental Monitoring Neural Networks, Computer Temperature
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Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets.

PloS one Jul 9, 2015
Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not...
Heuristics Probability Humans Fuzzy Logic Algorithms Decision Making Decision Trees Decision Support Techniques Models, Theoretical
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Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.

PloS one Jul 6, 2015
Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in conservation planning. In this study, we used a generalized dissimilarity modeling approach to analyze and predict the spatial patterns of beta divers...
Biodiversity Ecology Mediterranean Sea Tunisia Models, Theoretical Fuzzy Logic
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Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

Marine pollution bulletin Jul 2, 2015
The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural network (WNN) models for predicting a variety of ocean water quality parameters. In this regard, several water quality parameters in Hilo Bay, Pacific Oce...
Neural Networks, Computer Pacific Ocean Salinity Environmental Monitoring Bays Water Quality Temperature Hawaii Models, Theoretical
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High-order tracking differentiator based adaptive neural control of a flexible air-breathing hypersonic vehicle subject to actuators constraints.

ISA transactions Jul 2, 2015
In this paper, an adaptive neural controller is exploited for a constrained flexible air-breathing hypersonic vehicle (FAHV) based on high-order tracking differentiator (HTD). By utilizing functional decomposition methodology, the dynamic model is re...
Machine Learning Algorithms Computer Simulation Neural Networks, Computer Spacecraft Air Movements Feedback Models, Theoretical
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A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System.

Computational intelligence and neuroscience Jul 2, 2015
The wheeled robots have been successfully applied in many aspects, such as industrial handling vehicles, and wheeled service robots. To improve the safety and reliability of wheeled robots, this paper presents a novel hybrid fault diagnosis framework...
Principal Component Analysis Models, Theoretical Support Vector Machine Robotics
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Using wavelet-feedforward neural networks to improve air pollution forecasting in urban environments.

Environmental monitoring and assessment Jul 1, 2015
The paper presents the screening of various feedforward neural networks (FANN) and wavelet-feedforward neural networks (WFANN) applied to time series of ground-level ozone (O3), nitrogen dioxide (NO2), and particulate matter (PM10 and PM2.5 fractions...
Models, Theoretical Environmental Monitoring Air Pollutants Sensitivity and Specificity Cities Particulate Matter Neural Networks, Computer Romania Nitrogen Dioxide Forecasting Air Pollution Ozone
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Benefit of Retraining pKa Models Studied Using Internally Measured Data.

Journal of chemical information and modeling Jun 29, 2015
The ionization state of drugs influences many pharmaceutical properties such as their solubility, permeability, and biological activity. It is therefore important to understand the structure property relationship for the acid-base dissociation consta...
Machine Learning Chemical Phenomena Reproducibility of Results Models, Theoretical
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