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Multimedia big data computing for IoT applications : Concepts, paradigms and solutions
This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
Functional aesthetic dentistry : How to achieve predictable aesthetic results using principles of a stable occlusion
This book provides all the information needed by the dentist in order to understand functional occlusion and describes a coherent method that, through application of principles of form and function, allows the delivery of predictable, natural, and long-lasting aesthetic results.
Exosomes based drug delivery strategies for brain disorders
Provides a comprehensive overview of the role of exosomes in brain diseases, including stroke, multiple sclerosis, Parkinson's disease, Alzheimer's disease, epilepsy, and depression. It covers the basics of exosome biogenesis, composition, and synthesis, as well as the therapeutic potential of exosomes in brain disorders. The correlation between exosomes and neuroinflammation, the challenges of using exosomes as a novel carrier, and engineered exosomes to deliver therapeutic protein are covered well in this book. Use of radiolabelled exosomes as a diagnostic tool and the toxicity studies of exosomes with potential overcome approaches. It is an essential resource for researchers, clinicians, and healthcare professionals working in the field of exosome research, especially on its applications in brain disorders.
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
