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Biomaterial Based Approaches to Study the Tumour Microenvironment
The tumour microenvironment is increasingly recognized as an important contributor to cancer progression and treatment. However, most cancer studies continue to be performed in 2D tissue culture dishes that do not capture the characteristics of the tumour niche. This book provides an introduction to the rich chemical, topographical, and mechanical cues in the tumour microenvironment and then introduces readers to bioengineering strategies, including scaffold design and synthesis, chemical signalling and delivery, and co-culture, microfluidics, and organ-on-a-chip tools that can be used to mimic tumour microenvironment features. This book also includes discussion of emerging imaging methods compatible with tumour microenvironment mimicking biomaterials and discusses applications of such models in immuno-oncology, metastasis, and drug screening. Edited by two leaders in the field, this book will appeal to graduate students and researchers working in biomaterials science, chemical and biomedical engineering departments.
Intelligent Algorithms in Software Engineering
This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.
Evolution in Computational Intelligence
This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
Business Intelligence for Enterprise Internet of Things
This book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book's topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes.
Sustainability Measures for COVID-19 Pandemic
This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.
Advanced Computing
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Electrospun Biomaterials and Related Technologies
This books provides a compendium of electrospinning strategies and related technologies for the production of biomaterials for tissue engineering and regenerative medicine applications. It gives a broad overview of the field as well as cutting-edge research on electrospinning and how it is applied to engineer biomaterials. This is an ideal book for biomaterials scientists, engineers, students, and researchers. This book also: Presents cutting-edge research performed in the area of electrospinning with applications in tissue engineering and regenerative medicine Provides readers from the biomaterials field as well as those new to the field with a broad overview of the multiple applications of electrospun biomaterials Summarizes the latest research from the past ten years on electrospinning and related technologies
AIoT and Big Data Analytics for Smart Healthcare Applications
AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples s...
Outlook
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