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IoT and spacecraft informatics /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yung, K. L. (Editor ), Ip, Andrew W. H. (Editor ), Xhafa, Fatos (Editor ), Tseng, K. K. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, 2022.
Colección:Aerospace engineering
Temas:
Acceso en línea:Texto completo
Descripción
Notas: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
Descripción Física:1 online resource.
ISBN:9780128210529
0128210524