AIMC Topic: Aircraft

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Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2020
In this work, a novel data-driven fault diagnostic framework is developed by using hybrid multi-mode machine learning strategies to monitor system health status. The coexistence of multi-mode and concurrent faults and their adverse coupling effects p...
Humans Neural Networks, Computer Aircraft Chemical Engineering Fuel Oils Machine Learning Algorithms Models, Theoretical
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Predicting dengue importation into Europe, using machine learning and model-agnostic methods.

Scientific reports Jun 16, 2020
The geographical spread of dengue is a global public health concern. This is largely mediated by the importation of dengue from endemic to non-endemic areas via the increasing connectivity of the global air transport network. The dynamic nature and i...
Machine Learning Algorithms Forecasting Humans Models, Statistical ROC Curve Aircraft Europe Epidemics Travel Dengue
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Automatic wheat ear counting using machine learning based on RGB UAV imagery.

The Plant journal : for cell and molecular biology Jun 14, 2020
In wheat (Triticum aestivum L) and other cereals, the number of ears per unit area is one of the main yield-determining components. An automatic evaluation of this parameter may contribute to the advance of wheat phenotyping and monitoring. There is ...
Crop Production Triticum Aircraft Automation Algorithms Machine Learning Image Processing, Computer-Assisted Remote Sensing Technology
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Dynamic performances of a bird-like flapping wing robot under randomly uncertain disturbances.

PloS one May 5, 2020
The nonlinear dynamics of a bird-like flapping wing robot under randomly uncertain disturbances was studied in this study. The bird-like flapping wing robot was first simplified into a two-rod model with a spring connection. Then, the dynamic model o...
Computer Simulation Wind Animals Birds Models, Theoretical Robotics Uncertainty Aircraft Flight, Animal Biomimetics Wings, Animal Nonlinear Dynamics
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Exact flow of particles using for state estimations in unmanned aerial systems` navigation.

PloS one Apr 15, 2020
The navigation is a substantial issue in the field of robotics. Simultaneous Localization and Mapping (SLAM) is a principle for many autonomous navigation applications, particularly in the Global Navigation Satellite System (GNSS) denied environments...
Algorithms Geographic Information Systems Robotics Aircraft
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Human Factors Contributions to the Development of Standards for Displays of Unmanned Aircraft Systems in Support of Detect-and-Avoid.

Human factors Apr 14, 2020
OBJECTIVE: The aim is to provide a high-level synthesis of human factors research that contributed to the development of detect-and-avoid display requirements for unmanned aircraft systems (UAS).
Accidents, Aviation Data Display Robotics Aircraft Safety Ergonomics Man-Machine Systems
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Counting Cattle in UAV Images-Dealing with Clustered Animals and Animal/Background Contrast Changes.

Sensors (Basel, Switzerland) Apr 10, 2020
The management of livestock in extensive production systems may be challenging, especially in large areas. Using Unmanned Aerial Vehicles (UAVs) to collect images from the area of interest is quickly becoming a viable alternative, but suitable algori...
Neural Networks, Computer Animals Cattle Image Processing, Computer-Assisted Aircraft
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Adaptive tracking control of an unmanned aerial system based on a dynamic neural-fuzzy disturbance estimator.

ISA transactions Feb 17, 2020
The main goal of this study is developing an adaptive controller which can solve the trajectory tracking for a class of quadcopter unmanned aerial system (UAS), namely a quadrotor. The control design introduces a new paradigm for adaptive controllers...
Radio Robotics Aircraft Nonlinear Dynamics Computer Simulation Fuzzy Logic Neural Networks, Computer Algorithms
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Drone-related injuries treated at emergency departments.

The American journal of emergency medicine Jul 3, 2019
Aged Young Adult Emergency Service, Hospital Adult Aircraft Female Wounds and Injuries Infant, Newborn United States Adolescent Robotics Child, Preschool Child Male Middle Aged Infant Humans Databases, Factual
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Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things.

Sensors (Basel, Switzerland) Apr 2, 2019
Multi-agent hybrid social cognitive optimization (MAHSCO) based on the Internet of Things (IoT) is suggested to solve the problem of the generation of formations of unmanned vehicles. Through the analysis of the unmanned vehicle formation problem, fo...
Aircraft Internet Automobile Driving Motor Vehicles Computer Simulation Humans Social Media Algorithms Robotics
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