AIMC Topic:
Models, Theoretical

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Modeling and motion compensation of a bidirectional tendon-sheath actuated system for robotic endoscopic surgery.

Computer methods and programs in biomedicine Mar 18, 2015
Recent study shows that tendon-sheath system (TSS) has great potential in the development of surgical robots for endoscopic surgery. It is able to deliver adequate power in a light-weight and compact package. And the flexibility and compliance of the...
Models, Theoretical Robotics Tendons Endoscopy
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Perceptrons with Hebbian learning based on wave ensembles in spatially patterned potentials.

Physical review letters Mar 18, 2015
A general scheme to realize a perceptron for hardware neural networks is presented, where multiple interconnections are achieved by a superposition of Schrödinger waves. Spatially patterned potentials process information by coupling different points ...
Nonlinear Dynamics Optics and Photonics Neural Networks, Computer Learning Models, Theoretical
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Vomiting Unconsciousness Multivariate Analysis Injury Severity Score Models, Theoretical Brain Injuries Accidents, Traffic Skull Fractures Population Surveillance Child ROC Curve Logistic Models Databases, Factual Case-Control Studies Retrospective Studies Child, Preschool Algorithms Female Male Humans Tomography, X-Ray Computed Machine Learning
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Large-scale transportation network congestion evolution prediction using deep learning theory.

PloS one Mar 17, 2015
Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely...
Models, Theoretical Neural Networks, Computer Transportation Geographic Information Systems China Learning
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A fast clustering algorithm for data with a few labeled instances.

Computational intelligence and neuroscience Mar 11, 2015
The diameter of a cluster is the maximum intracluster distance between pairs of instances within the same cluster, and the split of a cluster is the minimum distance between instances within the cluster and instances outside the cluster. Given a few ...
Cluster Analysis Learning Artificial Intelligence Computational Biology Algorithms Models, Theoretical
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Real-time evaluation of polyphenol oxidase (PPO) activity in lychee pericarp based on weighted combination of spectral data and image features as determined by fuzzy neural network.

Talanta Mar 5, 2015
A novel method of using hyperspectral imaging technique with the weighted combination of spectral data and image features by fuzzy neural network (FNN) was proposed for real-time prediction of polyphenol oxidase (PPO) activity in lychee pericarp. Lyc...
Neural Networks, Computer Models, Theoretical Support Vector Machine Calibration Algorithms Image Processing, Computer-Assisted Catechol Oxidase Litchi
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How to decide which infant can have robotic surgery? Just do the math.

Journal of pediatric urology Mar 4, 2015
BACKGROUND: In pediatric urology, robot-assisted surgery has overcome several impediments of conventional laparoscopy. However, workspace has a major impact on surgical performance. The limited space in an infant can significantly impede the mobility...
Decision Making Robotics Laparoscopy Infant Models, Theoretical Female Urologic Surgical Procedures Male Urologic Diseases Humans
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H∞ State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements.

IEEE transactions on neural networks and learning systems Feb 27, 2015
This paper investigates the H∞ state estimation problem for a class of discrete-time nonlinear systems of the neural network type with random time-varying delays and multiple missing measurements. These nonlinear systems include recurrent neural netw...
Nonlinear Dynamics Stochastic Processes Computer Simulation Time Factors Models, Theoretical Humans Neural Networks, Computer
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Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional ac...
Humans Models, Theoretical Problem-Based Learning Neural Networks, Computer Handwriting Information Storage and Retrieval Algorithms Generalization, Psychological
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Feeding the human brain model.

Current opinion in neurobiology Feb 26, 2015
The goal of the Human Brain Project is to develop, during the next decade, an infrastructure capable of simulating a draft human brain model based on available experimental data. One of the key issues is therefore to integrate and make accessible the...
Brain Computational Biology Humans Neurosciences Models, Theoretical Biological Ontologies
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