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Deep Learning

Deep Learning PDF Author: Li Deng
Publisher:
ISBN: 9781601988140
Category : Machine learning
Languages : en
Pages : 212

Book Description
Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Deep Learning

Deep Learning PDF Author: Li Deng
Publisher:
ISBN: 9781601988140
Category : Machine learning
Languages : en
Pages : 212

Book Description
Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Multi-Sensor Information Fusion

Multi-Sensor Information Fusion PDF Author: Xue-Bo Jin
Publisher: MDPI
ISBN: 3039283022
Category : Technology & Engineering
Languages : en
Pages : 602

Book Description
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Proceedings of the Fifth International Conference on Weblogs and Social Media (ICWSM-11)

Proceedings of the Fifth International Conference on Weblogs and Social Media (ICWSM-11) PDF Author:
Publisher:
ISBN: 9781577355052
Category :
Languages : en
Pages : 700

Book Description


Data Analytics and Applications of the Wearable Sensors in Healthcare

Data Analytics and Applications of the Wearable Sensors in Healthcare PDF Author: Shabbir Syed-Abdul
Publisher: MDPI
ISBN: 3039363506
Category : Medical
Languages : en
Pages : 498

Book Description
This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Body Sensor Networks

Body Sensor Networks PDF Author: Guang-Zhong Yang
Publisher: Springer
ISBN: 1447163745
Category : Computers
Languages : en
Pages : 572

Book Description
The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.

Deep Learning Applications, Volume 2

Deep Learning Applications, Volume 2 PDF Author: M. Arif Wani
Publisher: Springer
ISBN: 9789811567582
Category : Technology & Engineering
Languages : en
Pages : 300

Book Description
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

Smart Machining Systems

Smart Machining Systems PDF Author: Kunpeng Zhu
Publisher: Springer Nature
ISBN: 3030878783
Category : Technology & Engineering
Languages : en
Pages : 420

Book Description
This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.

Hyperspectral Image Analysis

Hyperspectral Image Analysis PDF Author: Saurabh Prasad
Publisher: Springer Nature
ISBN: 3030386171
Category : Computers
Languages : en
Pages : 464

Book Description
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

The Promise of Sleep

The Promise of Sleep PDF Author: William C. Dement
Publisher:
ISBN:
Category : Family & Relationships
Languages : en
Pages : 568

Book Description
Healthy sleep has been empirically proven to be the single most important determinant in predicting longevity, more influential than diet, exercise, or heredity, but our modern culture has become a virtual study in sleep deprivation. A world without darkness wreaks havoc on our body clocks. Sleep is sacrificed to meet the demands of our endless days. Doctors regard sleep deprivation as a fact of life and do little to promote sleep health or awareness. Meanwhile, the physical, emotional, and psychological costs of unhealthy sleep continue to mount.In "The Promise of Sleep", world-renowned sleep authority William C. Dement offers a definitive guide providing the information necessary to reap the benefits of a good night's sleep. Drawing on decades of experience, Dr. Dement explains what happens when we sleep, taking us on a fascinating tour of the sleeping body and mind. Exploring sleep's surpassingly powerful effect on overall health, from the immune system to psychological well-being, readers will learn the many ways that sleep loss and deprivation can put them in harm's way, inhibiting motivation, creativity, and vitality.Imparting wisdom gained through years of sleep lab experience, Dr. Dement reveals the seven principles of healthy sleep, and gives hands-on advice on such popular topics as sleep disorders and their cures, the role of prescription and over-the-counter sleeping aids, recovery from jet lag, the power of naps, and more. With "The Promise

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications PDF Author: Edwin Lughofer
Publisher: Springer
ISBN: 3642180876
Category : Technology & Engineering
Languages : en
Pages : 467

Book Description
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.