AIMC Topic: Systems Analysis
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Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts.
Ergonomics
Dec 19, 2017
Human Factors Analysis and Classification System (HFACS) is based upon Reason's organizational model of human error which suggests that there is a 'one to many' mapping of condition tokens (HFACS level 2 psychological precursors) to unsafe act tokens...
Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.
Science and engineering ethics
Nov 13, 2017
The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical complexities emerging from an individual vehicle. That is an important but insufficient step towards determining how the technology will impact human ...
Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.
The Journal of urology
Oct 21, 2017
PURPOSE: We sought to define features that describe the dynamic information in diuresis renograms for the early detection of clinically significant hydronephrosis caused by ureteropelvic junction obstruction.
Towards social autonomous vehicles: Efficient collision avoidance scheme using Richardson's arms race model.
PloS one
Oct 17, 2017
This paper presents the concept of a social autonomous agent to conceptualize such Autonomous Vehicles (AVs), which interacts with other AVs using social manners similar to human behavior. The presented AVs also have the capability of predicting inte...
Synchronization of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions and Infinite Delays.
IEEE transactions on cybernetics
Apr 17, 2017
This paper is concerned with synchronization for a class of reaction-diffusion neural networks with Dirichlet boundary conditions and infinite discrete time-varying delays. By utilizing theories of partial differential equations, Green's formula, ine...
Multiplex visibility graphs to investigate recurrent neural network dynamics.
Scientific reports
Mar 10, 2017
A recurrent neural network (RNN) is a universal approximator of dynamical systems, whose performance often depends on sensitive hyperparameters. Tuning them properly may be difficult and, typically, based on a trial-and-error approach. In this work, ...
On Stabilization of Quantized Sampled-Data Neural-Network-Based Control Systems.
IEEE transactions on cybernetics
Jun 28, 2016
This paper investigates the problem of stabilization of sampled-data neural-network-based systems with state quantization. Different with previous works, the communication limitation of state quantization is considered for the first time. More specif...
Robotic natural orifice transluminal endoscopic surgery (R-NOTES): literature review and prototype system.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Dec 25, 2014
In minimally invasive surgery methods such as laparoscopic surgery, surgical instruments are introduced through small incisions to minimize patient trauma and recovery times. To reduce the number of incisions, new techniques such as natural orifice t...
ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application.
Journal of animal science
Jan 3, 2023
Over the last three decades, agent-based modeling/model (ABM) has been one of the most powerful and valuable simulation-based decision modeling techniques used to study the complex dynamic interactions between animals and their environment. ABM is a ...
AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing.
Studies in health technology and informatics
Jun 6, 2022
Meta-analyses examine the results of different clinical studies to determine whether a treatment is effective or not. Meta-analyses provide the gold standard for medical evidence. Despite their importance, meta-analyses are time-consuming and this po...
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