2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) PDF full book. Access full book title 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) by IEEE Staff. Download full books in PDF and EPUB format.
Author: IEEE Staff
Publisher:
ISBN: 9781538659175
Category :
Languages : en
Pages :
Get Book Here
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: 9781538659175
Category :
Languages : en
Pages :
Get Book Here
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: Iyad Obeid
Publisher: Springer Nature
ISBN: 3030368440
Category : Technology & Engineering
Languages : en
Pages : 287
Get Book Here
Book Description
This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson’s; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.
Author: Iyad Obeid
Publisher: Springer Nature
ISBN: 3030674940
Category : Technology & Engineering
Languages : en
Pages : 261
Get Book Here
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: Abhishek Swaroop
Publisher: Springer Nature
ISBN: 9819760364
Category :
Languages : en
Pages : 599
Get Book Here
Book Description
Author: Mohiuddin Ahmad
Publisher: Springer Nature
ISBN: 9811975280
Category : Technology & Engineering
Languages : en
Pages : 553
Get Book Here
Book Description
This book gathers outstanding research papers presented at the International Conference on Information and Communication Technology for Development (ICICTD 2022), held on July 29–30, 2022, at the Institute of Information and Communication Technology (IICT), Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. The topics covered are ICT in health care, ICT in e-commerce, e-governance, collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics and IoT, information systems, computer network, algorithms, and natural language processing.
Author: Fuchun Sun
Publisher: Springer Nature
ISBN: 9819980216
Category : Computers
Languages : en
Pages : 307
Get Book Here
Book Description
The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: Volume I : Award; Algorithm & Control; and Application. Volume II: Robotics & Bioinformatics; and Vision.
Author: Zehong Jimmy Cao
Publisher: Frontiers Media SA
ISBN: 2889765512
Category : Science
Languages : en
Pages : 150
Get Book Here
Book Description
Author: Amit Joshi
Publisher: Springer Nature
ISBN: 9811571066
Category : Technology & Engineering
Languages : en
Pages : 627
Get Book Here
Book Description
This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.
Author: Amit Kumar Tyagi
Publisher: Springer Nature
ISBN: 9811665427
Category : Technology & Engineering
Languages : en
Pages : 451
Get Book Here
Book Description
This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.
Author: Bikesh Kumar Singh
Publisher: CRC Press
ISBN: 1000540405
Category : Computers
Languages : en
Pages : 248
Get Book Here
Book Description
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
