IoT and spacecraft informatics

• 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: Aerospace engineering > Technological innovations.; Internet of things.; elektronické knihy; electronic books
• ISBN: 9780128210529; 0128210524; 9780128210512 (pbk.)
• Physical Description: 1 online resource.
• 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
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty