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Spacecraft

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Journal international de bioethique et d'ethique des sciences
Prompted by the digital revolution, the hybridisation of networks, terrestrial and on satellites, opens the door to a world of convergences, dominated by the Internet of Objects and the development of artificial intelligence.

Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station.

Scientific data
Non-contact behavioral study through intelligent image analysis is becoming increasingly vital in animal neuroscience and ethology. The shift from traditional "black box" methods to more open and intelligent approaches is driven by advances in deep l...

Predictive analysis across spatial scales links zoonotic malaria to deforestation.

Proceedings. Biological sciences
The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechani...

The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Sensors (Basel, Switzerland)
In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution tha...

Static Attitude Determination Using Convolutional Neural Networks.

Sensors (Basel, Switzerland)
The need to estimate the orientation between frames of reference is crucial in spacecraft navigation. Robust algorithms for this type of problem have been built by following algebraic approaches, but data-driven solutions are becoming more appealing ...

Comparison of Display Modality and Human-in-the-Loop Presence for On-Orbit Inspection of Spacecraft.

Human factors
OBJECTIVE: To investigate the impact of interface display modalities and human-in-the-loop presence on the awareness, workload, performance, and user strategies of humans interacting with teleoperated robotic systems while conducting inspection tasks...

Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial data.

Nature plants
Four species of grass generate half of all human-consumed calories. However, abundant biological data on species that produce our food remain largely inaccessible, imposing direct barriers to understanding crop yield and fitness traits. Here, we asse...

Neural-Network-Based Adaptive Singularity-Free Fixed-Time Attitude Tracking Control for Spacecrafts.

IEEE transactions on cybernetics
In this article, a neural-network-based adaptive fixed-time control scheme is proposed for the attitude tracking of uncertain rigid spacecrafts. A novel singularity-free fixed-time switching function is presented with the directly nonsingular propert...

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning.

Sensors (Basel, Switzerland)
Most modern Earth and Universe observation spacecraft are now equipped with large lightweight and flexible structures, such as antennas, telescopes, and extendable elements. The trend of hosting more complex and bigger appendages, essential for high-...

Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

ISA transactions
The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving in a space station. Controlling the locomotion of the robot astronaut is very challenging due to the strong nonlinearity of its complex multi-body dy...