Author:
Publisher:
ISBN: 9781479975013
Category :
Languages : en
Pages : 440
Book Description
2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2014)
2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
Author: IEEE Staff
Publisher:
ISBN: 9781479975037
Category :
Languages : en
Pages :
Book Description
BIBE conference provides a common platform the two two complementary disciplines, Bioinformatics and Bioengineering It covers a broad spectrum of up to date topics of Bioinformatics and Bioengineering by giving the opportunity to scientists from diverse fields and disciplines to participate in the presentation, discussion and evaluation of the latest advances and research challenges
Publisher:
ISBN: 9781479975037
Category :
Languages : en
Pages :
Book Description
BIBE conference provides a common platform the two two complementary disciplines, Bioinformatics and Bioengineering It covers a broad spectrum of up to date topics of Bioinformatics and Bioengineering by giving the opportunity to scientists from diverse fields and disciplines to participate in the presentation, discussion and evaluation of the latest advances and research challenges
2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2014)
Proceedings, IEEE 14th International Conference on Bioinformatics and Bioengineering
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Author: Sujata Dash
Publisher: CRC Press
ISBN: 1000534006
Category : Computers
Languages : en
Pages : 382
Book Description
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems
Publisher: CRC Press
ISBN: 1000534006
Category : Computers
Languages : en
Pages : 382
Book Description
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014)
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Advances in Computational and Bio-Engineering
Author: S. Jyothi
Publisher: Springer Nature
ISBN: 3030469395
Category : Mathematics
Languages : en
Pages : 650
Book Description
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
Publisher: Springer Nature
ISBN: 3030469395
Category : Mathematics
Languages : en
Pages : 650
Book Description
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
Artificial Intelligence and Data Science
Author: Ashwani Kumar
Publisher: Springer Nature
ISBN: 3031213858
Category : Computers
Languages : en
Pages : 553
Book Description
This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Data Science, ICAIDS 2021, held in Hyderabad, India, in December 2021. The 43 papers presented in this volume were thoroughly reviewed and selected from the 195 submissions. They focus on topics of artificial intelligence for intelligent applications and data science for emerging technologies.
Publisher: Springer Nature
ISBN: 3031213858
Category : Computers
Languages : en
Pages : 553
Book Description
This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Data Science, ICAIDS 2021, held in Hyderabad, India, in December 2021. The 43 papers presented in this volume were thoroughly reviewed and selected from the 195 submissions. They focus on topics of artificial intelligence for intelligent applications and data science for emerging technologies.