Results 71 to 80 of about 363,166 (317)

TRAJECNETS: ONLINE FAILURE EVOLUTION ANALYSIS IN 2D SPACE

International Journal of Prognostics and Health Management, 2019
We propose a novel Recurrent Neural Network (RNN) based autoencoder for embedding the run-to-failure time series sensor data in a 2D feature space. The embedding, extracted from the network, is in the form of a smooth trajectory, which represents the ...
Nauman Shahid, Anarta Ghosh
doaj   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Innovative Monitoring for Aeronautical Application Through Augmented Reality

Engineering Proceedings
The technologies grouped under the term Extended Reality (XR) are constantly evolving. Only fifty years ago, they were delegated to the science fiction strand and were not feasible except in the distant future; today, they are successfully used for ...
Antonio Costantino Marceddu, Alessandro Aimasso, Matteo Bertone, Paolo Maggiore, Matteo Davide Lorenzo Dalla Vedova, Bartolomeo Montrucchio   +5 more
doaj   +1 more source

Propeller design I : practical application of the blade element theory [PDF]

This report is the first of a series of four on propeller design and contains a description of the blade elements or modified Drzewiecke theory as used in the Bureau of Aeronautics, U.S. Navy Department. Blade interference corrections are used which were
Weick, Fred E
core   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Aeronautics design and manufacture integrated enterprise model

MATEC Web of Conferences, 2017
In order to realize the integration and concurrent of design and manufacture, enhance the efficiency of aircraft development enterprises, a model centre based design and manufacturing integrated enterprise model is proposed.
Song Likang, Yang Xiumao, Fu Chao, Liu Jihong   +3 more
doaj   +1 more source

First flight centennial [PDF]

Aeronautics, Commercial ; Airlines ; Federal Reserve District ...
Andrew Foerster
core  

Radio Astronomy [PDF]

, 1977
Contains research objectives and summary of research on seven research projects.M.I.T. Sloan Fund for Basic ResearchNational Aeronautics and Space Administration (Contract NAS5-21980)National Aeronautics and Space Administration (Contract NAS5-22485 ...
Allen, Barry R., Baan, Willem A., Barrett, John W., Burke, Bernard F., Crane, Patrick C., Garcia-Barreto, J. Antonio, Greenfield, Perry E., Guiffrida, Thomas S., Haschick, Aubrey D., Kierstead, John D., Myers, Philip C., Papa, D. Cosmo, Parrish, Alan, Rosenkranz, Philip W., Staelin, David H., Walker, Robert C.   +15 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source