AIMC Topic: Aircraft

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Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications.

Sensors (Basel, Switzerland) Jul 15, 2020
Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to public privacy. The timely detection of a malicious drone is currently an open research issue fo...
Safety Support Vector Machine 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 Machine Learning Fuel Oils 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...
Humans Machine Learning Algorithms Models, Statistical Aircraft Epidemics Forecasting ROC Curve Europe 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 ...
Remote Sensing Technology Triticum Aircraft Automation Crop Production Machine Learning Algorithms Image Processing, Computer-Assisted
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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...
Nonlinear Dynamics Uncertainty Flight, Animal Wings, Animal Computer Simulation Robotics Birds Wind Aircraft Animals Biomimetics Models, Theoretical
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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 Aircraft Geographic Information Systems Robotics
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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 Safety Ergonomics Man-Machine Systems Robotics Aircraft
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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...
Image Processing, Computer-Assisted Aircraft Neural Networks, Computer Animals Cattle
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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...
Computer Simulation Neural Networks, Computer Fuzzy Logic Algorithms Aircraft Robotics Nonlinear Dynamics Radio
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Drone-related injuries treated at emergency departments.

The American journal of emergency medicine Jul 3, 2019
Young Adult Female Male Middle Aged Adult Emergency Service, Hospital Infant Aircraft Adolescent Wounds and Injuries Child, Preschool Child United States Robotics Humans Databases, Factual Infant, Newborn Aged
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