AIMC Topic: Aircraft

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Elman Neural Network-Based Direct Lift Automatic Carrier Landing Nonsingular Terminal Sliding Mode Fault-Tolerant Control System Design.

Computational intelligence and neuroscience
The purpose of this paper is to develop the control system using the Elman neural network (ENN) and nonsingular terminal sliding mode control (NTSMC) to improve the automatic landing capability of carrier-based aircraft based on direct lift control (...

Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines.

Environmental science and pollution research international
Aviation emissions originated from the fuel burn have been hot topics by engineers and policy-makers due to their harmful effects on the environment and thereby human health as well as sustainability. In this study, it is tried that several emission ...

Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods.

Sensors (Basel, Switzerland)
Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can mistakenly or intentionally f...

PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization.

Bioinspiration & biomimetics
This article proposes Persistence Administered Collective Navigation (PACNav) as an approach for achieving the decentralized collective navigation of unmanned aerial vehicle (UAV) swarms. The technique is based on the flocking and collective navigati...

Application of Combination Forecasting Model in Aircraft Failure Rate Forecasting.

Computational intelligence and neuroscience
Effective prediction of aircraft failure rate has important guiding significance for formulating reasonable maintenance plans, carrying out reliable maintenance activities, improving health management levels, and ensuring the safety of aircraft fligh...

Attention-LSTM based prediction model for aircraft 4-D trajectory.

Scientific reports
Aviation activities are constantly increasing as a result of the growth of the global economic system. How to increase airspace capacity within the limited airspace resources while ensuring smooth and safe aircraft operations is a challenge for civil...

Lightweight convolutional neural network for aircraft small target real-time detection in Airport videos in complex scenes.

Scientific reports
Airport aircraft identification has essential application value in conflict early warning, anti-runway foreign body intrusion, remote command, etc. The scene video images have problems such as small aircraft targets and mutual occlusion due to the ex...

Fatal injuries due to direct helicopter propeller strike.

Forensic science, medicine, and pathology
During a helicopter exercise, due to the scarce visibility caused by the presence of snow, a collision between a landing helicopter and one already on the ground occurred. The 40-year-old pilot of the already landed aircraft was killed as a result of...

Defects Recognition Algorithm Development from Visual UAV Inspections.

Sensors (Basel, Switzerland)
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out manually and involves a high skilled human walking arou...

AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm.

Computational intelligence and neuroscience
Aiming at the selection research gap of AG600 amphibious aircraft for salvage of life at sea, the selection index system of AG600 has been established, and an interval intuitionistic fuzzy selection decision model based on fuzzy entropy and score fun...