AIMC Topic:
Models, Theoretical

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A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.

PloS one Aug 14, 2015
For current computational intelligence techniques, a major challenge is how to learn new concepts in changing environment. Traditional learning schemes could not adequately address this problem due to a lack of dynamic data selection mechanism. In th...
Support Vector Machine Algorithms Models, Theoretical
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Pattern recognition for cache management in distributed medical imaging environments.

International journal of computer assisted radiology and surgery Aug 5, 2015
PURPOSE: Traditionally, medical imaging repositories have been supported by indoor infrastructures with huge operational costs. This paradigm is changing thanks to cloud outsourcing which not only brings technological advantages but also facilitates ...
Models, Theoretical Diagnostic Imaging Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology.

TheScientificWorldJournal Aug 5, 2015
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and...
Ventricular Function, Left Humans Stroke Volume Algorithms Severity of Illness Index Biomarkers Fuzzy Logic Hemodynamics Prognosis Retrospective Studies Models, Theoretical Heart Failure Databases, Factual Intensive Care Units Patient Admission
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Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks.

Computational intelligence and neuroscience Aug 4, 2015
Optimizing a neural network's topology is a difficult problem for at least two reasons: the topology space is discrete, and the quality of any given topology must be assessed by assigning many different sets of weights to its connections. These two c...
Computer Simulation Neural Networks, Computer Models, Theoretical Algorithms Pattern Recognition, Automated
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Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses.

Ergonomics Jul 31, 2015
UNLABELLED: Artificial neural networks are sophisticated modelling and prediction tools capable of extracting complex, non-linear relationships between predictor (input) and predicted (output) variables. This study explores this capacity by modelling...
Occupational Medicine China Adult Burnout, Professional Male Models, Theoretical Middle Aged Monte Carlo Method Humans Neural Networks, Computer Nurses Female
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Human upper-limb force capacities evaluation with robotic models for ergonomic applications: effect of elbow flexion.

Computer methods in biomechanics and biomedical engineering Jul 27, 2015
The aim of this study was to apply models derived from the robotics field to evaluate the human upper-limb force generation capacity. Four models were compared: the force ellipsoid (FE) and force polytope (FP) based on unit joint torques and the scal...
Adult Biomechanical Phenomena Models, Theoretical Humans Ergonomics Isometric Contraction Upper Extremity Elbow Joint Range of Motion, Articular Robotics
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Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach.

Environmental science and pollution research international Jul 24, 2015
Ammonia emissions at the national level are frequently estimated by applying the emission inventory approach, which includes the use of emission factors, which are difficult and expensive to determine. Emission factors are therefore the subject of es...
Principal Component Analysis Air Pollutants Ammonia United States Humans Neural Networks, Computer Models, Theoretical Europe
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Locomotion Analysis of an Inchworm-Like Capsule Robot in the Intestinal Tract.

IEEE transactions on bio-medical engineering Jul 14, 2015
GOAL: Inchworm-like locomotion is one of the most common and effective approaches for exploring the intestinal tract. Here, we present a locomotion analysis for a typical inchworm-like capsule robot, which is composed of a locomotion unit and some fu...
Equipment Design Capsule Endoscopy Capsule Endoscopes Models, Theoretical Robotics Humans Intestines
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Overview of the Cancer Genetics and Pathway Curation tasks of BioNLP Shared Task 2013.

BMC bioinformatics Jul 13, 2015
BACKGROUND: Since their introduction in 2009, the BioNLP Shared Task events have been instrumental in advancing the development of methods and resources for the automatic extraction of information from the biomedical literature. In this paper, we pre...
Gene Regulatory Networks Models, Theoretical Knowledge Bases Information Storage and Retrieval Natural Language Processing Humans Neoplasms Genes
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Extracting biomedical events from pairs of text entities.

BMC bioinformatics Jul 13, 2015
BACKGROUND: Huge amounts of electronic biomedical documents, such as molecular biology reports or genomic papers are generated daily. Nowadays, these documents are mainly available in the form of unstructured free texts, which require heavy processin...
Databases, Factual Biomedical Research Humans Support Vector Machine Computational Biology Data Mining Knowledge Bases Natural Language Processing Models, Theoretical
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