Download Full eBooks in PDF
2013 Ieee 3rd International Conference On Computational Advances In Bio And Medical Sciences Iccabs 2013 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of 2013 Ieee 3rd International Conference On Computational Advances In Bio And Medical Sciences Iccabs 2013 book. This book definitely worth reading, it is an incredibly well-written.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 54,8 Mb
Release : 2013-06-12
Category : Electronic
ISBN : 1479907154
Author : Anonim
Publisher : Unknown
Page : 107 pages
File Size : 51,6 Mb
Release : 2013
Category : Electronic
ISBN : 1479907146
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2017-10-19
Category : Biology
ISBN : 1538625954
Advances in high throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms IEEE ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences
Author : Suresh Chandra Satapathy,Vikrant Bhateja,Swagatam Das
Publisher : Springer
Page : 653 pages
File Size : 49,9 Mb
Release : 2017-10-28
Category : Technology & Engineering
ISBN : 9789811055478
This volume contains 68 papers presented at SCI 2016: First International Conference on Smart Computing and Informatics. The conference was held during 3-4 March 2017, Visakhapatnam, India and organized communally by ANITS, Visakhapatnam and supported technically by CSI Division V – Education and Research and PRF, Vizag. This volume contains papers mainly focused on smart computing for cloud storage, data mining and software analysis, and image processing.
Author : Ion Mandoiu,Alexander Zelikovsky
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 41,7 Mb
Release : 2016-09-12
Category : Computers
ISBN : 9781119272168
Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms Discusses the mathematical and computational challenges in NGS technologies Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics.
Author : Mayank Singh,P. K. Gupta,Vipin Tyagi,Jan Flusser,Tuncer Ören
Publisher : Springer
Page : 578 pages
File Size : 48,6 Mb
Release : 2018-10-25
Category : Computers
ISBN : 9789811318139
This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018. The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
Author : Kalpana Raja
Publisher : Springer Nature
Page : 324 pages
File Size : 48,6 Mb
Release : 2022-06-17
Category : Science
ISBN : 9781071623053
This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importance of data science to understand outbreaks such as COVID-19. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 54,9 Mb
Release : 2015-10-15
Category : Electronic
ISBN : 1467396648
Advances in high throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms IEEE ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences
Author : J. Mantas,L. Stoicu-Tivadar,C. Chronaki
Publisher : IOS Press
Page : 1184 pages
File Size : 45,6 Mb
Release : 2021-07
Category : Medical
ISBN : 9781643681856
For several years now, both eHealth applications and digitalization have been seen as fundamental to the new era of health informatics and public health. The current pandemic situation has also highlighted the importance of medical informatics for the scientific process of evidence-based reasoning and decision making at all levels of healthcare. This book presents the accepted full papers, short papers, and poster papers delivered as part of the 31st Medical Informatics in Europe Conference (MIE 2021), held virtually from 29-31 May 2021. MIE 2021 was originally due to be held in Athens, Greece, but due to the continuing pandemic situation, the conference was held as a virtual event. The 261 papers included here are grouped into 7 chapters: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; ethics, legal and societal aspects; and posters. Providing a state-of-the-art overview of medical informatics from around the world, the book will be of interest to all those working with eHealth applications and digitalization to improve the delivery of healthcare today.
Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
Publisher : Springer Nature
Page : 383 pages
File Size : 49,7 Mb
Release : 2019-11-14
Category : Technology & Engineering
ISBN : 9783030339661
This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 45,7 Mb
Release : 2014-06-02
Category : Electronic
ISBN : 1479957860
Advances in high throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms IEEE ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 43,7 Mb
Release : 2018-10-18
Category : Electronic
ISBN : 1538685213
Advances in high throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms IEEE ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 55,5 Mb
Release : 2016
Category : Electronic
ISBN : 1509041990
Author : Prasant Kumar Pattnaik,Ashlesha Vaidya,Suneeta Mohanty,Satarupa Mohanty,Ana Hol
Publisher : Springer Nature
Page : 228 pages
File Size : 49,8 Mb
Release : 2021-09-30
Category : Technology & Engineering
ISBN : 9789811653049
This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.
Author : Joanna Kołodziej,Luís Correia,José Manuel Molina
Publisher : Springer
Page : 216 pages
File Size : 52,6 Mb
Release : 2015-09-21
Category : Technology & Engineering
ISBN : 9783319237428
This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing.