2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781728143446
Category :
Languages : en
Pages :
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Book Description
The Philadelphia Section of the IEEE and the Philadelphia Section of the IEEE Signal Processing Society invite you to participate in a single day symposium designed to promote synergy between the healthcare industries and signal processing researchers
Author: IEEE Staff
Publisher:
ISBN: 9781728143446
Category :
Languages : en
Pages :
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Book Description
The Philadelphia Section of the IEEE and the Philadelphia Section of the IEEE Signal Processing Society invite you to participate in a single day symposium designed to promote synergy between the healthcare industries and signal processing researchers
Author:
Publisher:
ISBN:
Category : Biomedical engineering
Languages : en
Pages :
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Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781728188218
Category :
Languages : en
Pages :
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Book Description
The Philadelphia Section of the IEEE and the Philadelphia Section of the IEEE Signal Processing Society invites you to participate in a single day symposium designed to promote synergy between the healthcare industries and signal processing researchers
Author: Iyad Obeid
Publisher: Springer Nature
ISBN: 3031212363
Category : Technology & Engineering
Languages : en
Pages : 152
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Book Description
Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.
Author: Iyad Obeid
Publisher: Springer Nature
ISBN: 3030674940
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.
Author: IEEE Staff
Publisher:
ISBN: 9781665428989
Category :
Languages : en
Pages :
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Book Description
The Philadelphia Section of the IEEE invites you to participate in a single day symposium designed to promote synergy between the healthcare industries and signal processing researchers
Author:
Publisher:
ISBN: 9781728188201
Category : Diagnostic imaging
Languages : en
Pages :
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Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781509067138
Category :
Languages : en
Pages :
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Book Description
This conference brings together engineers and medical professionals to share knowledge about technology, data and user experiences
Author: Pawan Singh
Publisher: CRC Press
ISBN: 1000967808
Category : Computers
Languages : en
Pages : 315
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Book Description
We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective.
Author: José Pagán
Publisher: Springer Nature
ISBN: 303032785X
Category : Computers
Languages : en
Pages : 228
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Book Description
This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.
