Reconnoitering The Landscape Of Edge Intelligence In Healthcare
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| Author | : Suneeta Satpathy |
| Publisher | : CRC Press |
| Total Pages | : 292 |
| Release | : 2024-04-23 |
| Genre | : Computers |
| ISBN | : 1000894932 |
The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.
| Author | : Shitharth Selvarajan |
| Publisher | : CRC Press |
| Total Pages | : 215 |
| Release | : 2024-12-17 |
| Genre | : Computers |
| ISBN | : 1040149847 |
Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications. As the IoT landscape continues to expand rapidly, the need for robust security measures becomes paramount to safeguard sensitive data and ensure the integrity of connected devices. This book delves into the synergistic potential of leveraging big data analytics and blockchain’s decentralized ledger system to fortify IoT ecosystems against various cyber threats, ranging from data breaches to unauthorized access. Within this groundbreaking text, readers will uncover the foundational principles underpinning big data analytics and blockchain technology, along with their respective roles in enhancing IoT security. Through insightful case studies and practical examples, this book illustrates how organizations across diverse industries can harness the power of these technologies to mitigate risks and bolster trust in IoT deployments. From real‐time monitoring and anomaly detection to immutable data storage and tamper‐proof transactions, the integration of big data and blockchain offers a robust framework for establishing secure, transparent, and scalable IoT infrastructures. Furthermore, this book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the complexities of IoT security. By bridging the gap between theory and application, this book equips readers with the knowledge and tools necessary to navigate the evolving landscape of interconnected devices while safeguarding against emerging cyber threats. With contributions from leading experts in the field, it offers a forward‐thinking perspective on harnessing the transformative potential of big data and blockchain to realize the full promise of the IoT securely.
| Author | : Vinit Kumar Gunjan |
| Publisher | : Springer Nature |
| Total Pages | : 998 |
| Release | : 2020-10-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9811572348 |
This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.
| Author | : Sachi Nandan Mohanty |
| Publisher | : John Wiley & Sons |
| Total Pages | : 528 |
| Release | : 2021-07-14 |
| Genre | : Computers |
| ISBN | : 1119785855 |
Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
| Author | : Susan A. Crane |
| Publisher | : Stanford University Press |
| Total Pages | : 281 |
| Release | : 2021-01-19 |
| Genre | : History |
| ISBN | : 1503614050 |
The past is what happened. History is what we remember and write about that past, the narratives we craft to make sense out of our memories and their sources. But what does it mean to look at the past and to remember that "nothing happened"? Why might we feel as if "nothing is the way it was"? This book transforms these utterly ordinary observations and redefines "Nothing" as something we have known and can remember. "Nothing" has been a catch-all term for everything that is supposedly uninteresting or is just not there. It will take some—possibly considerable—mental adjustment before we can see Nothing as Susan A. Crane does here, with a capital "n." But Nothing has actually been happening all along. As Crane shows in her witty and provocative discussion, Nothing is nothing less than fascinating. When Nothing has changed but we think that it should have, we might call that injustice; when Nothing has happened over a long, slow period of time, we might call that boring. Justice and boredom have histories. So too does being relieved or disappointed when Nothing happens—for instance, when a forecasted end of the world does not occur, and millennial movements have to regroup. By paying attention to how we understand Nothing to be happening in the present, what it means to "know Nothing" or to "do Nothing," we can begin to ask how those experiences will be remembered. Susan A. Crane moves effortlessly between different modes of seeing Nothing, drawing on visual analysis and cultural studies to suggest a new way of thinking about history. By remembering how Nothing happened, or how Nothing is the way it was, or how Nothing has changed, we can recover histories that were there all along.
| Author | : David O. Renz |
| Publisher | : John Wiley & Sons |
| Total Pages | : 816 |
| Release | : 2016-08-15 |
| Genre | : Business & Economics |
| ISBN | : 1118852966 |
The go-to nonprofit handbook, updated and expanded for today's leader The Jossey-Bass Handbook of Nonprofit Leadership and Management is the bestselling professional reference and leading text on the functions, processes, and strategies that are integral to the effective leadership and management of nonprofit and nongovernmental organizations. Now in its fourth edition, this handbook presents the most current research, theory, and practice in the field of nonprofit leadership and management. This practical, relevant guide is invaluable to the effective practice of nonprofit leadership and management, with expanded attention to accountability, transparency, and organizational effectiveness. It also extensively covers the practice of social entrepreneurship, presented via an integrative perspective that helps the reader make practical sense of how to bring it all together. Nonprofit organizations present unique opportunities and challenges for meeting the needs of societies and their communities, yet nonprofit management is more complex and challenging than ever. This Handbook provides a framework to help you lead and manage efficiently and effectively in this new environment. Building on solid current scholarship, the handbook provides candid, practical guidance from nationally-recognized leaders who share their insights on: The relationship between board performance and organizational effectiveness Managing internal and external stakeholder relationships Financial viability and sustainability and how to enhance both for the long term Strategies to successfully attract, retain, and mobilize the very best of staff and volunteers The fourth edition of the handbook also includes content relevant to associations and membership organizations. The content of the handbook is supplemented and enriched by an extensive set of online supplements and tools, including reading lists, web references, checklists, PowerPoint slides, discussion guides, and sample exams. Running your nonprofit or nongovernmental organization effectively in today's complex and challenging environment demands more knowledge and skill than ever, deployed in a thoughtful and pragmatic way. Grounded in the most useful modern scholarship and theory, and explained from the perspective of effective practice, The Jossey-Bass Handbook of Nonprofit Leadership and Management is a pivotal resource for successful nonprofit leaders in these turbulent times.
| Author | : Pradeep Kumar Mallick |
| Publisher | : Springer |
| Total Pages | : 795 |
| Release | : 2018-08-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9811306176 |
The book presents new approaches and methods for solving real-world problems. It offers, in particular, exploratory research that describes novel approaches in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are also presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory and Software Engineering.
| Author | : Monica Rivera |
| Publisher | : |
| Total Pages | : 655 |
| Release | : 2019-10 |
| Genre | : |
| ISBN | : 9780988524460 |
This book is a selection of architecture, urban design and landscape architecture projects made by students in the Graduate School of Architecture & Urban Design at Washington University in St. Louis during the 2018-2019 academic year.
| Author | : G. Larry Mays |
| Publisher | : Aspen Publishing |
| Total Pages | : 499 |
| Release | : 2015-01-28 |
| Genre | : Law |
| ISBN | : 1454846674 |
This author team had students in mind when they wrote the book on Criminal Law. Criminal Law: Core Concepts uses examples and case excerpts that are interesting and informative, along with logically organized, plain-English discussion of the Model Penal Code. This is the basis for developing a solid understanding of criminal law concepts. One look inside this book and you ll notice that every page promises unobstructed learning. You ll see an uncluttered page design, uncluttered coverage, writing uncluttered by legalese, and case excerpts uncluttered by extraneous detail Everything in this book serves a purpose. Criminal Law: Core Concepts features: A commitment to clarity, reflected in the writing style, organization, pedagogy, and design Shrewd case editing that hones in on salient themes and principles Engaging and informative examples throughout the text Plain English discussion of the Model Penal Code Timely coverage of contemporary topics, such as street crime
| Author | : Gouri Sankar Bhunia |
| Publisher | : Springer |
| Total Pages | : 298 |
| Release | : 2022-06-26 |
| Genre | : Medical |
| ISBN | : 9783030712006 |
GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify numerous methods and solicitations in addressing vectors borne diseases (e.g, Visceral leishmaniasis, Malaria, Filaria). This book includes a practical coverage of the use of spatial analysis techniques in vector-borne disease using open source software solutions. Environmental factors (relief characters, climatology, ecology, vegetation, water bodies etc.) and socio-economic issues (housing type & pattern, education level, economic status, income level, domestics’ animals, census data, etc) are investigated at micro -level and large scale in addressing the various vector-borne disease. This book will also generate a framework for interdisciplinary discussion, latest innovations, and discoveries on public health. The first section of the book highlights the basic and principal aspects of advanced computational practices. Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research. This book will be useful to the postgraduate students of geography, remote sensing, ecology, environmental sciences and research scholars, along with health professionals looking to solve grand challenges and management on public health.
