Computer vision and machine intelligence proceedings of CVMI 2022
Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means.- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder.- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistr...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2023
|
| Schriftenreihe: | Lecture notes in networks and systems
volume 586 |
| Schlagworte: | |
| Online Zugang: | Cover |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen 
| Zusammenfassung: | Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means.- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder.- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis. This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain |
|---|---|
| Beschreibung: | Literaturangaben |
| Beschreibung: | xxviii, 777 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811978661 978-981-19-7866-1 |