AIMC Topic: Decision Making
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Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations.
International journal of environmental research and public health
Sep 9, 2016
Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical m...
Predicting and communicating flood risk of transport infrastructure based on watershed characteristics.
Journal of environmental management
Aug 13, 2016
This research aims to identify and communicate water-related vulnerabilities in transport infrastructure, specifically flood risk of road/rail-stream intersections, based on watershed characteristics. This was done using flooding in Värmland and Väst...
In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.
BioMed research international
Aug 8, 2016
Gamma-aminobutyric acid type-A receptors (GABAARs) belong to multisubunit membrane spanning ligand-gated ion channels (LGICs) which act as the principal mediators of rapid inhibitory synaptic transmission in the human brain. Therefore, the category p...
Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?
Accident; analysis and prevention
Jul 18, 2016
With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. The...
Artificial intelligence expert systems with neural network machine learning may assist decision-making for extractions in orthodontic treatment planning.
The journal of evidence-based dental practice
Jul 18, 2016
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: New approach for the diagnosis of extractions with neural network machine learning. Seok-Ki Jung and Tae-Woo Kim. Am J Orthod Dentofacial Orthop 2016;149:127-33.
Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.
Scientific reports
Jun 28, 2016
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...
Predict or classify: The deceptive role of time-locking in brain signal classification.
Scientific reports
Jun 20, 2016
Several experimental studies claim to be able to predict the outcome of simple decisions from brain signals measured before subjects are aware of their decision. Often, these studies use multivariate pattern recognition methods with the underlying as...
A neural model of the frontal eye fields with reward-based learning.
Neural networks : the official journal of the International Neural Network Society
May 24, 2016
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, usin...
Analysis of complex neural circuits with nonlinear multidimensional hidden state models.
Proceedings of the National Academy of Sciences of the United States of America
May 24, 2016
A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamica...
Adaptive contrast weighted learning for multi-stage multi-treatment decision-making.
Biometrics
May 23, 2016
Dynamic treatment regimes (DTRs) are sequential decision rules that focus simultaneously on treatment individualization and adaptation over time. To directly identify the optimal DTR in a multi-stage multi-treatment setting, we propose a dynamic stat...
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