AIMC Topic:
Models, Theoretical

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River flood prediction using fuzzy neural networks: an investigation on automated network architecture.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2017
Urban floods are one of the most devastating natural disasters globally and improved flood prediction is essential for better flood management. Today, high-resolution real-time datasets for flood-related variables are widely available. These data can...
Fuzzy Logic Algorithms Rivers Floods Canada Disasters Uncertainty Models, Theoretical Neural Networks, Computer
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Machine learning of swimming data via wisdom of crowd and regression analysis.

Mathematical biosciences and engineering : MBE Apr 1, 2017
Every performance, in an officially sanctioned meet, by a registered USA swimmer is recorded into an online database with times dating back to 1980. For the first time, statistical analysis and machine learning methods are systematically applied to 4...
Female Male Models, Theoretical Machine Learning Databases, Factual Computer Simulation Athletic Performance Humans Swimming Physical Education and Training Age Factors Regression Analysis Sex Factors
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Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant Colony Optimization-Support Vector Machine QSTR models.

Environmental science. Processes & impacts Mar 22, 2017
According to the European REACH Directive, the acute toxicity towards Daphnia magna should be assessed for any industrial chemical with a market volume of more than 1 t/a. Therefore, it is highly recommended to determine the toxicity at a certain con...
Daphnia Quantitative Structure-Activity Relationship Toxicity Tests, Acute Algorithms Water Pollutants, Chemical Surface-Active Agents Animals Quaternary Ammonium Compounds Models, Theoretical Support Vector Machine
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Artificial intelligence based model for optimization of COD removal efficiency of an up-flow anaerobic sludge blanket reactor in the saline wastewater treatment.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2017
The complex non-linear behavior presented in the biological treatment of wastewater requires an accurate model to predict the system performance. This study evaluates the effectiveness of an artificial intelligence (AI) model, based on the combinatio...
Algorithms Biological Oxygen Demand Analysis Neural Networks, Computer Oxygen Water Purification Artificial Intelligence Solutions Computer Simulation Temperature Wastewater Bioreactors Models, Theoretical Sewage Anaerobiosis
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Grasping with a soft glove: intrinsic impedance control in pneumatic actuators.

Journal of the Royal Society, Interface Mar 1, 2017
The interaction of a robotic manipulator with unknown soft objects represents a significant challenge for traditional robotic platforms because of the difficulty in controlling the grasping force between a soft object and a stiff manipulator. Soft ro...
Robotics Models, Theoretical
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A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

Medical care Mar 1, 2017
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records a...
Patient Readmission Academic Medical Centers Focus Groups Models, Theoretical Health Status Natural Language Processing Humans Risk Factors Mental Health Risk Assessment Social Support Cognition
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Application of supervised machine learning algorithms for the classification of regulatory RNA riboswitches.

Briefings in functional genomics Mar 1, 2017
Riboswitches, the small structured RNA elements, were discovered about a decade ago. It has been the subject of intense interest to identify riboswitches, understand their mechanisms of action and use them in genetic engineering. The accumulation of ...
Bayes Theorem Supervised Machine Learning Markov Chains Humans Algorithms Models, Theoretical Riboswitch
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Speaker-dependent multipitch tracking using deep neural networks.

The Journal of the Acoustical Society of America Feb 1, 2017
Multipitch tracking is important for speech and signal processing. However, it is challenging to design an algorithm that achieves accurate pitch estimation and correct speaker assignment at the same time. In this paper, deep neural networks (DNNs) a...
Speech Algorithms Sound Spectrography Models, Theoretical Humans Female Speech Perception Signal Processing, Computer-Assisted Male Neural Networks, Computer Pitch Discrimination
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Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines.

The Journal of the Acoustical Society of America Feb 1, 2017
This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted from their acoustic emissions and a Bayesian inference-based one-against-all support vector machine (Bayesian OAASVM) for multi-class classification. The...
Equipment Failure Bayes Theorem Equipment Failure Analysis Motion Acoustics Time Factors Sound Models, Theoretical Materials Testing Support Vector Machine
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Novel switching design for finite-time stabilization: Applications to memristor-based neural networks with time-varying delay.

Chaos (Woodbury, N.Y.) Feb 1, 2017
The aim of this paper is to provide a novel switching control design to solve finite-time stabilization issues of a discontinuous or switching dynamical system. In order to proceed with our analysis, we first design two kinds of switching controllers...
Models, Theoretical Electronics Neural Networks, Computer Time Factors
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