IoT and spacecraft informatics /

Bibliographic Details
Corporate Author: Knovel (Firm)
Other Authors: Yung, K. L. (Editor), Ip, Andrew W. H. (Editor), Xhafa, Fatos (Editor), Tseng, K. K. (Editor)
Format: eBook
Language:English
Published: Amsterdam : Elsevier, 2022.
Series:Aerospace engineering
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Item Description:1. Artificial intelligence approach for aerospace defect detection using single-shot multibox detector network in phased array ultrasonic<br>2. Classifying asteroid spectra by data-driven machine learning model<br>3. Recognition of target spacecraft based on shape features<br>4. Internet of things, an insight to digital twins and case studies<br>5. Subspace tracking for time-varying direction-of-arrival estimation with sensor arrays<br>6. An overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application<br>7. Colored Petri net modeling of the manufacturing processes of space instruments<br>8. Product performance model for product innovation, reliability and development in high-tech industries and a case study on the space instrument industry<br>9. Monocular simultaneous localization and mapping for a space rover application<br>10. Reliability and health management of spacecraft
Physical Description:1 online resource.
ISBN:9780128210529
0128210524