Electronic Nose Algorithmic Challenges

Electronic Nose: Algorithmic Challenges

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don’t work because of the limitation of hardware resources. Third, readers will learn how to make schemes and solutions when the acquired data from their systems is not stable due to the fundamental issues affecting perceptron devices (e.g. sensors). In brief, the book presents and discusses the key technologies and new algorithmic challenges in electronic noses and artificial olfaction. The goal is to promote the industrial application of electronic nose technology in environmental detection, medical diagnosis, food quality control, explosive detection, etc. and to highlight the scientific advances in artificial olfaction and artificial intelligence. The book offers a good reference guide for newcomers to the topic of electronic noses, because it refers to the basic principles and algorithms. At the same time, it clearly presents the key challenges – such as long-term drift, signal uniqueness, and disturbance – and effective and efficient solutions, making it equally valuable for researchers engaged in the science and engineering of sensors, instruments, chemometrics, etc.

Nanostructured Materials for Electronic Nose

This book presents recent developments and fascinating attributes of electronic-nose (E-nose) technology based on advanced nanostructured materials that are compatible with modern semiconductor fabrication technology. The new trend in these nanostructured materials includes metal oxide nanostructures, 2D materials, graphene, and other carbon-based nanostructures. These versatile materials with remarkable electronic, mechanical, electrical, thermal properties, and potential e-nose in a wide range of fields are discussed in the book. Close attention is given to problems connected with stability, selectivity, and functionalizing of e-nose devices and deposited materials. The field of sensors is indeed in fast and consistent growth. This book consolidates information on each and every aspect of these novel materials, their gas sensing mechanisms, engineering, and e-nose devices covering the entire spectrum of up-to-date literature citations, current market, and patents in a very detailed manner. Moreover, in the past few years, tremendous advances have been made in experimental and theoretical studies on various properties of these materials. In summary, this book makes an attempt to provide in-depth study of recent advances and focuses on current problems related to selectivity and stability of sensor devices. The book is interesting to all materials professionals and researchers from universities and national laboratories working in the field of nanostructured materials-based gas sensors.

Advances in Memristor and Memristor-Based Applications