Chemical, Gas, and Biosensors for the Internet of Things and Related Applications brings together the fields of sensors and analytical chemistry, devices and machines, and network and information technology. This thorough resource enables researchers to effectively collaborate to advance this rapidly expanding, interdisciplinary area of study. As innovative developments in the Internet of Things (IoT) continue to open new possibilities for quality of life improvement, sensor technology must keep pace, Drs. Mitsubayashi, Niwa and Ueno have brought together the top minds in their respective fields to provide the latest information on the numerous uses of this technology. Topics covered include life-assist systems, network monitoring with portable environmental sensors, wireless livestock health monitoring, point-of-care health monitoring, organic electronics and bio-batteries, and more. - 2020 PROSE Awards - Winner: Category: Chemistry and Physics: Association of American Publishers - Describes the latest advances and underlying principles of sensors used in biomedicine, healthcare, biotechnology, nanotechnology and food and environment safety - Focuses on sensors' methods of data communication, logging and analysis for IoT applications - Explains the specific requirements of sensor design and performance improvement, helping researchers enhance sensitivity, selectivity, stability, reproducibility and response time

In today’s modern world, it is essential for businesses to remain competitive and up to date on the latest technology that can support their processes. The use of the internet of things (IoT) in marketing, particularly in digital marketing, is an evolving field that requires further study to better understand its potential. Global Applications of the Internet of Things in Digital Marketing focuses on the applications of IoT in customizing content and developing a data-based marketing framework that helps marketers create different experiences in bridging the digital and physical world, develop a closer connection with the consumers, and provide highly contextual and tailored messages to consumers. Covering key topics such as brand image, social media, and website development, this premier reference source is ideal for business owners, managers, marketers, researchers, scholars, academicians, practitioners, instructors, and students.

This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming. Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions—volume, velocity, variety, veracity, and valuation—within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications. This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions. Features: • Explores different types of smart framing systems for achieving sustainability goals in the real environment • Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing • Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically • Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area • Discusses AI-empowered Nanotechnology for smart farming

The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospace applications. It will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering. The book Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection Presents artificial neural networks (ANN) based industrial flow sensor modeling Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering.

Currently, numerous spheres now face a wider range of needs due to the increasingly competitive and globalized global market. Moreover, digital technologies are necessary for analysis and comprehension in many sectors of contemporary society. For instance, Internet of Things (IoT) has the potential to revolutionize livestock management, including the dairy cattle industry, by providing real-time data and enabling data-driven decisions to improve animal welfare, increase productivity, and promote sustainable farming practices. The main components of IoT-enabled livestock management include sensors, communication systems, data storage, and analysis systems. These components of IoT-enabled livestock management improve animal welfare, increase productivity, and reduce environmental impact. As well as promoting sustainable farming practices through using of precision farming methods, early illness detection, prevention, and improved animal reproduction and breeding. Given the importance of leveraging IoT in livestock, this study examines and categorizes IoTs’ applications based on their functionalities and objectives. Thus, this process has been conducted by identifying criteria or factors that are important for evaluating the effectiveness of IoT applications. To serve the study’s objectives, we are harnessing various techniques. Firstly, we are modeling the identified IoTs applications’ criteria into levels that encompass a set of nodes by utilizing Tree Soft Technique (TrST). Secondly, Multi-Criteria Decision Making (MCDM) techniques are utilized for certain roles as criteria importance through inter-criteria correlation (CRITIC) for analyzing identified criteria and determining weights for them. These weights are leveraged in another technique of MCDM in this study for ranking IoT applications entailed in TOmada de Decisao Interativa Multicriterio (TODIM). The utilized techniques operate within the sovereignty of neutrosophic theory for supporting these techniques in uncertain situations and when treated with incomplete data.

An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.

This book details 2D nanomaterials, and their important applications—including recent developments and related scalable technologies crucial to addressing strong societal demands of energy, environmental protection, and worldwide health concerns—are systematically documented. It covers syntheses and structures of various 2D materials, electrical transport in graphene, and different properties in detail. Applications in important areas of energy harvesting, energy storage, environmental monitoring, and biosensing and health care are elaborated. Features: Facilitates good understanding of concepts of emerging 2D materials and its applications. Covers details of highly sensitive sensors using 2D materials for environmental monitoring. Outlines the role of 2D materials in improvement of energy harvesting and storage. Details application in biosensing and health care for the realization of next-generation biotechnologies for personalized health monitoring and so forth. Provides exclusive coverage of inorganic 2D MXenes compounds. This book is aimed at graduate students and researchers in materials science and engineering, nanoscience and nanotechnology, and electrical engineering.

Chirality is a concept related not only to organic chemistry but also to each field of natural science. Awareness of hierarchy is important for universal and comprehensive understanding. As such, this book examines myriad subjects related to chirality in chemistry and interdisciplinary applications. In contrast to the previous book, this new book about chirality includes contributions from authors in many fields of natural science, providing a wider overview. The book’s focus is chirality and organic chemistry, including synthesis and reactions.

Systematically introduces the development, the concept, principles, technology and applications of portable and wearable devices for biochemical detection.

Due to rapid urbanization and development, water get polluted by the noxious waste released from industrial, sewage and agricultural runoffs. Sustainable Materials for Sensing and Remediation of Noxious Pollutants covers two most widely used aspects in the field of wastewater i.e. sensing and rapid remediation with a possible solution of successful technology commercialization. Chapters include information on low cost materials as sensing and remediating agents for the rapid removal of noxious impurities from wastewater. It includes chapters on the sensing of noxious metals, low cost adsorbents for the removal of noxious impurities i.e. inorganic (metal ions) and organic (dyes). Additional chapters include future/upcoming scopes of work and one chapter on the general introduction of the field. The book content will be technical and focused for the audience like graduate students, academicians, researchers and industrial professionals. Sustainable Materials for Sensing and Remediation of Noxious Pollutants is single reference source for environmental scientists and engineers interested in low cost sensing and remediation strategies. - Assists readers in developing new strategies to address the issues related to sensing and remediation activities - Includes low cost materials for sensor and adsorbent development allowing professionals to make decisions based on economic considerations - Provides alternatives for the development of socioeconomically sustainable products for sensing and remediation application