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Digital Technologies in Olfaction: Fundamentals to Applications

Editat de Takamichi Nakamoto
en Limba Engleză Paperback – 24 ian 2025
Digital Technologies in Olfaction: Fundamentals to Applications provides a comprehensive overview addressing how recent, digital, technological advances can be applied to olfaction. With an informatics approach into chemistry, the book introduces the extension of chemometrics in a modernized way such as deep learning and AI and applies it to machine olfaction.

The book is systematically divided into three main sections: Odor sensing systems: Provides an overview for a variety of devices for odor sensing systems and addresses the concept of active sensing (sensing methodology) and its application to machine olfaction; Cheminformatics: Introduces chemometrics and the concept of odor space. This section also addresses odor reproduction and odor impression predictions; Olfactory displays: Addresses the applications of odor presentation and olfactory display. This section enables its readers to learn a modernized way of scent presentation.

Digital Technologies in Olfaction: Fundamentals to Applications is a valuable resource for chemists and biologists who are interested in olfaction and artificial intelligence.

  • Systematically presents up-to-date developments in olfaction for a chemistry audience
  • Addresses modernized chemometrics for olfaction
  • Presents the digitization of olfaction and how it can be applied to sensing, cheminformatics, and odor presentation
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Specificații

ISBN-13: 9780443157219
ISBN-10: 0443157219
Pagini: 300
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE

Cuprins

Part I Background
1. Introduction to digital technologies in olfaction
2. Physiology of olfactory sense

Part II Odor sensing system
3. Overview of olfactory sensors
4. Quartz Crystal Microbalance sensors
5. Odor biosensors
6. Active odor sensing system

Part III Cheminformatics in machine olfaction
7. Fundamentals of chemometrics techniques
8. Concept of odor space
9. Odor impression prediction using multi-dimensional data analysis
10. Odor impression prediction using natural language processing
11. Odor reproduction using odor components
12. Odor reproduction based on several divergences
13. Analysis for interference removal in odor reproduction

Part IV Olfactory displays
14. Fundamental techniques of olfactory displays
15. Multicomponent olfactory displays
16. Wearable olfactory displays
17. Digital contents with scents
18. VR environment with computational fluid dynamics
19. Olfactory displays for teleolfaction
20. Olfactory art

Part IV Conclusions
21. Conclusions
22. Future of machine olfaction