Описание: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems.
Автор: Barbooti Mahmood Название: Environmental Applications of Instrumental Chemical Analysis ISBN: 1771880619 ISBN-13(EAN): 9781771880619 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is a comprehensive review of the instrumental analytical methods and their use in environmental monitoring site assessment and remediation follow-up operations.
The increased concern about environmental issues such as water pollution, air pollution, accumulation of pollutants in food, global climate change, and effective remediation processes necessitate the precise determination of various types of chemicals in environmental samples. In general, all stages of environmental work start with the evaluation of organic and inorganic environmental samples. This important book furnishes the fundamentals of instrumental chemical analysis methods to various environmental applications and also covers recent developments in instrumental chemical methods.
Covering a wide variety of topics in the field, the book:
- Presents an introduction to environmental chemistry
- Presents the fundamentals of instrumental chemical analysis methods that are used mostly in the environmental work.
- Examines instrumental methods of analysis including UV/Vis, FTIR, atomic absorption, induced coupled plasma emission, electrochemical methods like potentiometry, voltametry, coulometry, and chromatographic methods such as GC and HPLC
- Presents newly introduced chromatographic methodologies such as ion electrophoresis, and combinations of chromatography with pyrolysis methods are given
- Discusses selected methods for the determinations of various pollutants in water, air, and land
Readers will gain a general review of modern instrumental method of chemical analysis that is useful in environmental work and will learn how to select methods for analyzing certain samples. Analytical instrumentation and its underlying principles are presented, along with the types of sample for which each instrument is best suited. Some noninstrumental techniques, such as colorimetric detection tubes for gases and immnosassays, are also discussed.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 13858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Описание: With the forthcoming enforcement of installing wireless units for Dedicated Short Range Communications (DSRC) on newly manufactured light-duty vehicles in the US, the development of the Cellular V2X (C-V2X) standard in 3GPP, and the growing interest in connected autonomous vehicles, vehicle-to-everything (V2X) communications and vehicular networking for improving road safety, enhancing traffic efficiency, and supporting heterogeneous vehicular applications for smart mobility is foreseeable in the near future. This book provides an overview of vehicular networks on the performance analysis, potential applications, and existing challenges. It covers the fundamental methodology for modeling the vehicular traffic and the performance of vehicular communication protocols, as well as the challenges and cutting-edge solutions for vehicular positioning in urban canyon and big data mining for traffic flow prediction and various vehicular applications. The concept of mobile edge computing (MEC) in vehicular networks is also introduced and discussed for better resource management and network utilization. Finally, how to preserve privacy and system security while not disrupting the normal operation of vehicular networks is a pivotal challenge to overcome. This book is suitable for researchers and professionals in the area of vehicular networking and intelligent transportation systems. College engineering postgraduate students who aspire for an in-depth study and understanding of the upcoming trend in vehicular networks and related technologies will also find this book of interest.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.
Автор: Zhou, Kevin Название: Deep Learning for Medical Image Analysis ISBN: 0128104082 ISBN-13(EAN): 9780128104088 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.
Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.
Автор: David Zhang; Dongmin Guo; Ke Yan Название: Breath Analysis for Medical Applications ISBN: 9811043213 ISBN-13(EAN): 9789811043215 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis.
Описание: In the past, individuals in the dentistry field have struggled to diagnose and treat a variety of dental diseases due to the lack of digital methods involved in the field. Modern technology offers solutions to the many commonly observed and frequently encountered occlusal problems that practicing dental clinicians regularly attempt to manage.
The Handbook of Research on Clinical Applications of Computerized Occlusal Analysis in Dental Medicine aims to provide a research-based clinical resource for computerized occlusal analysis technology while also serving as a complete clinical treatment guide to support clinicians in achieving significantly better treatment outcomes than what often presently result from non-digital occlusal indicators. The book will chronicle its evolution and improvements, detail its evidence-based rationale for employing this technology in place of traditional, non-digital occlusal indicators that rely solely on imprecise operator subjective interpretation, and describe the TScan's many clinical applications within the differing practice disciplines of dental medicine. While highlighting topics including orthodontics, this book is ideally designed for clinicians, dentists, dental educators, practitioners, researchers, students, and academics working in prosthodontics, occlusion, esthetics, temporomandibular disorders, dental implant prosthodontics, periodontics, orthodontics, and posture and balance.
Описание: This volume contains pedagogical, review and research level papers on fractional stochastic and quantum processes which have been the focus of intensive mathematical, experimental, and computational studies due to their widening spectrum of applications in natural and social sciences.
Автор: Tsai Jeffrey J P & Ng Ka-Lok Название: Computational Methods With Applications In Bioinformatics Analysis ISBN: 9813207973 ISBN-13(EAN): 9789813207974 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.
The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.
The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
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