Electronic Nose Technologies and Advances in Machine Olfaction

Electronic Nose Technologies and Advances in Machine Olfaction

Yousif Abdullatif Albastaki (Ahlia University, Bahrain) and Fatema Albalooshi (University of Bahrain, Bahrain)
Release Date: April, 2018|Copyright: © 2018 |Pages: 318|DOI: 10.4018/978-1-5225-3862-2
ISBN13: 9781522538622|ISBN10: 1522538623|EISBN13: 9781522538639


The design and study of materials is a pivotal component to new discoveries in the various fields of science and technology. By better understanding the components and structures of materials, researchers can increase its applications across different industries.

Electronic Nose Technologies and Advances in Machine Olfaction is an academic scholarly resource that examines the emerging applications of odor-sensing devices as well as a better understanding of the designing process with the aid of neural networks and various other technologies. Featuring coverage on a broad range of topics including food spoilage detection, chemical sensing, and olfactometer, this book is a vital resource for engineers, academicians, researchers, students, and practitioners seeking current research on the advancements in applications of odor-sensing devices.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Odor Classification System
  • Chemical Sensing
  • Drift Compensation Methods
  • Explosive Detection
  • Food Spoilage Detection
  • Odor Sensing
  • Olfactometer

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Yousif Al-Bastaki received a BSc. degree from University of Bahrain, Msc from University of Leeds, UK and a PhD degree from University of Nottingham, UK. Recently he has been appointed as an IT advisor at the Deputy Prime Minster at the Kingdom of Bahrain and previously worked as the Dean of College of IT at the University of Bahrain. Currently he is an Associate Professor and the Dean of Admission and Registration at the University of Bahrain. His research interests are Neural Networks, genetic algorithms E-Learning, Distance Education and e-government strategies and implementation.