AIMC Topic: Computer Simulation
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Autonomous dynamic obstacle avoidance for bacteria-powered microrobots (BPMs) with modified vector field histogram.
PloS one
Oct 11, 2017
In order to broaden the use of microrobots in practical fields, autonomous control algorithms such as obstacle avoidance must be further developed. However, most previous studies of microrobots used manual motion control to navigate past tight spaces...
Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay.
Biological cybernetics
Oct 9, 2017
Contrary to forward biomechanical functions, which are deterministic, inverse biomechanical functions are generally not. Calculating an inverse biomechanical function is an ill-posed problem, which has no unique solution for a manipulator with severa...
DNA Implementation of Fuzzy Inference Engine: Towards DNA Decision-Making Systems.
IEEE transactions on nanobioscience
Oct 9, 2017
Decision-making systems are an integral part of any autonomous device. With the recent developments in bio-nanorobots, smart drugs, and engineered viruses, there is an immediate need of decision-making systems which are bio-compatible in nature. DNA ...
Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.
Scientific reports
Oct 9, 2017
Epistasis within disease-related genes (gene-gene interactions) was determined through contingency table measures based on multifactor dimensionality reduction (MDR) using single-nucleotide polymorphisms (SNPs). Most MDR-based methods use the single ...
Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Oct 6, 2017
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC). Neural activity in the PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear "mixed...
Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.
IEEE transactions on neural networks and learning systems
Oct 3, 2017
While non-negative blind source separation (nBSS) has found many successful applications in science and engineering, model order selection, determining the number of sources, remains a critical yet unresolved problem. Various model order selection me...
Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support.
Artificial intelligence in medicine
Oct 3, 2017
Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity of insulin required to achieve optimal glycaemic control and administer it themselves subcutaneously, multiple times per day. To help with this proces...
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.
World neurosurgery
Oct 3, 2017
OBJECTIVE: Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the interven...
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.
Journal of chemical information and modeling
Oct 2, 2017
Deep neural networks (DNNs) are complex computational models that have found great success in many artificial intelligence applications, such as computer vision1,2 and natural language processing.3,4 In the past four years, DNNs have also generated p...
Estimation and evaluation of linear individualized treatment rules to guarantee performance.
Biometrics
Sep 28, 2017
In clinical practice, an informative and practically useful treatment rule should be simple and transparent. However, because simple rules are likely to be far from optimal, effective methods to construct such rules must guarantee performance, in ter...
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