Buch, Englisch, Band 28, 309 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 658 g
Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 3
Buch, Englisch, Band 28, 309 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 658 g
Reihe: Learning and Analytics in Intelligent Systems
ISBN: 978-3-030-87131-4
Verlag: Springer International Publishing
The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies.
This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Chapter 1: Introduction To Advances In Assistive Technologies.- Chapter 2: Applications of AI in Healthcare and Assistive Technologies.- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread.- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis.- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks.