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Empowering Artificial Intelligence Through Machine Learning - - Bog - Apple Academic Press Inc. - Plusbog.dk

Handbook of Research on Machine Learning - - Bog - Apple Academic Press Inc. - Plusbog.dk

The Innovative Lean Machine - Jr. Sgroi - Bog - Apple Academic Press Inc. - Plusbog.dk

The Innovative Lean Machine - Jr. Sgroi - Bog - Apple Academic Press Inc. - Plusbog.dk

In order for an organization to thrive in a competitive business environment, its strategy, people, and branding must be fully optimized. The Innovative Lean Machine: Synchronizing People, Branding, and Strategy to Win in the Marketplace explains how to use Lean principles and visual tools to maximize these core components in any business. The book demystifies theory with examples of the various visual tools any organization can rely on during the idea generation, product development, and branding processes. Filled with easy-to-follow graphics, charts, and tables, the text provides a simple, yet effective, series of visual frameworks that readers can immediately apply with little or no difficulty. Describing how to ensure your business planning reflects what is most valuable to your customers, this resource presents the insights of a creative thought process that drives innovative solutions. It considers the key aspects of Lean that can help you drive innovation in the development of your organization’s branding, strategy, and in the selection and management of its people. It also includes discussions on the characteristics of highly effective and trustworthy people. After reading this book, you will better understand how to use Lean tools to build a stronger brand, build better market strategies, and identify and retain effective people. You will also gain an understanding of what it takes to align all organizational activities to ensure maximum value for your customers while relentlessly driving out waste.

DKK 524.00
1

Mechanical Engineering for Sustainable Development: State-of-the-Art Research - - Bog - Apple Academic Press Inc. - Plusbog.dk

New Age Analytics - - Bog - Apple Academic Press Inc. - Plusbog.dk

Cognitive Computing Systems - - Bog - Apple Academic Press Inc. - Plusbog.dk

Handbook of Artificial Intelligence in Biomedical Engineering - - Bog - Apple Academic Press Inc. - Plusbog.dk

Applied Soft Computing - - Bog - Apple Academic Press Inc. - Plusbog.dk

High-Performance Medical Image Processing - - Bog - Apple Academic Press Inc. - Plusbog.dk

High-Performance Medical Image Processing - - Bog - Apple Academic Press Inc. - Plusbog.dk

The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: - Provides descriptions of different medical imaging modalities and their applications - Discusses the basics and advanced aspects of parallel computing with different multicore architectures - Expounds on the need for embedding data and task parallelism in different medical image processing techniques - Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

DKK 835.00
1

Bioelectronics and Medical Devices - - Bog - Apple Academic Press Inc. - Plusbog.dk

Intelligent System Algorithms and Applications in Science and Technology - - Bog - Apple Academic Press Inc. - Plusbog.dk

Financial Intelligence in Human Resources Management - - Bog - Apple Academic Press Inc. - Plusbog.dk

Handbook of Research of Internet of Things and Cyber-Physical Systems - - Bog - Apple Academic Press Inc. - Plusbog.dk

Numerical Algorithms - Justin (princeton University Solomon - Bog - Apple Academic Press Inc. - Plusbog.dk

Big Data with Hadoop MapReduce - Anand ) Paul - Bog - Apple Academic Press Inc. - Plusbog.dk

Natural Food Products and Waste Recovery - - Bog - Apple Academic Press Inc. - Plusbog.dk

Computer Vision and Recognition Systems - G. Thippa Reddy - Bog - Apple Academic Press Inc. - Plusbog.dk

Pandemic Detection and Analysis Through Smart Computing Technologies - - Bog - Apple Academic Press Inc. - Plusbog.dk

Pandemic Detection and Analysis Through Smart Computing Technologies - - Bog - Apple Academic Press Inc. - Plusbog.dk

This powerful new volume explores the diverse and sometimes unexpected roles that IoT and AI technologies played during the recent COVID-19 global pandemic. The book discusses the how existing and new state-of-the art technology has been and can be applied for global health crises in a multitude of ways. The chapters in Pandemic Detection and Analysis through Smart Computing Technologies look at exciting technological solutions for virus detection, prediction, classification, prevention, and communication outreach. The book considers the various modes of transmission of the virus as well as how technology has been implemented for personalized healthcare systems and how it can be used for future pandemics. The huge importance of social and mobile communication and networks during the pandemic is addressed such as in business, education, and healthcare; in research and development; for health information and outreach; in social life; and more. A chapter also addresses using smart computing for forecasting the damage caused by COVID-19 using time series analyses. This up-to-the-minute volume illuminates on the many ways AI, IoT, machine learning, and other technologies have important roles in the diverse challenges faced during COVID-19 and how they can be enhanced for future pandemic situations. The volume will be of high interest to those in different fields of computer science and other domains as well as to data scientists, government agencies and policymakers, doctors and healthcare professionals, engineers, economists, and many other professionals. This book will also be very helpful to faculty, students, and research scholars in understanding the pre- and post-effect of this pandemic.

DKK 835.00
1

Big Data and Health Analytics - - Bog - Apple Academic Press Inc. - Plusbog.dk

Big Data and Health Analytics - - Bog - Apple Academic Press Inc. - Plusbog.dk

Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, this book is accessible to health care professionals who might not have an IT and analytics background. It includes case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care delivery. Highlighting lessons learned from the case studies, the book supplies readers with the foundation required for further specialized study in health analytics and data management. Coverage includes community health information, information visualization which offers interactive environments and analytic processes that support exploration of EHR data, the governance structure required to enable data analytics and use, federal regulations and the constraints they place on analytics, and information security. Links to websites, videos, articles, and other online content that expand and support the primary learning objectives for each major section of the book are also included to help you develop the skills you will need to achieve quality improvements in health care delivery through the effective use of data and analytics.

DKK 1022.00
1

Global Healthcare Disasters - - Bog - Apple Academic Press Inc. - Plusbog.dk

Global Healthcare Disasters - - Bog - Apple Academic Press Inc. - Plusbog.dk

The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies , provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.

DKK 835.00
1