Böcker utgivna av CRC Press

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working.Describes brain modeling and all possible machine learning methods and their uses.Augments the use of data mining and machine learning to brain computer interface (BCI) devices.Includes case studies and actual simulation examples.This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

Acid mine drainage (AMD) is essentially the flow of water polluted with metals and other substances from existing/old mining areas and is considered to be one of the sources of pollution. A wide range of technologies are available for preventing AMD generation and/or treating AMD before discharge, but there is a shift towards recovery of industrially useful materials and products from AMD. Acid Mine Drainage: From Waste to Resources explores novel methods developed for the reuse and/or recovery of industrially useful materials from AMD including discussing generation, prediction, prevention, and remediation processes. It includes legislation and policy frameworks governing AMD and its environmental/health impacts.¿Provides a detailed overview of the mining operations and discusses the geochemical and hydrogeological context of acid mine drainage AMD formation, prediction and impactPresents a holistic approach to AMD generation, prediction, prevention, and remediation processesPresents exclusive material on reuse, recycling, and recovery of industrially useful materials from AMDGives a detailed overview of the legislation and policy regulatory framework governing the management of AMDAnalyses the effects of AMD on the environment and healthThis volume is aimed at researchers and professionals in metallurgical engineering, chemical engineering, environmental engineering, and mining engineering, including policy makers.

The safety, maintainability, and maintenance of systems have become more important than ever before. Global competition and other factors are forcing manufacturers to produce highly safe and easily maintainable engineering systems.

This book focusses on recent and emerging techniques for enhancement of smart healthcare, smart communication, and smart transportation system. It covers topics ranging from Machine learning techniques, IoT, Security aspects of medical documents, Performance of various protocols used in the communication and transportation environment.

Structural Seismic and Civil Engineering focuses on civil engineering research, anti-seismic technology and engineering structure. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research directions and engineering solutions as reference. Subjects in these proceedings include:Engineering StructureMaterials of Civil EngineeringStructural Seismic ResistanceMonitoring and TestingThe works in these proceedings aim to promote the development of civil engineering and earthquake engineering. Thereby, promoting scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.

X-ray computed tomography (CT) has been one of the most popular diagnostic imaging modalities for decades in the clinic for saving patients' life or improving their quality of life. This book is an introductory "one-stop shop" for technological and clinical topics in multi-detector Computed Tomography (MDCT).

The book covers issues pertaining to uranium tailings with special reference to consolidation of radioactivity including systematic ecological strategy for consolidation of radionuclides in Uranium tailings. It discusses sustainable consolidation of radioactivity and migration of unextracted uranium from tailing piles to plants and atmosphere.

Drug counterfeiting detection is very important for the safety of patients globally. Counterfeit detection devices have been used for qualitative and quantitative assessment to differentiate counterfeit medications from the relevant product. This volume focuses on current technological approaches to detect counterfeited pharmaceuticals.

Data mining techniques and algorithms are extensively used to build real-world applications. A practical approach can be applied to data mining techniques to build applications. Once deployed, an application enables the developers to work on the users' goals and mold the algorithms with respect to users' perspectives.Practical Data Mining Techniques and Applications focuses on various concepts related to data mining and how these techniques can be used to develop and deploy applications. The book provides a systematic composition of fundamental concepts of data mining blended with practical applications. The aim of this book is to provide access to practical data mining applications and techniques to help readers gain an understanding of data mining in practice. Readers also learn how relevant techniques and algorithms are applied to solve problems and to provide solutions to real-world applications in different domains. This book can help academicians to extend their knowledge of the field as well as their understanding of applications based on different techniques to gain greater insight. It can also help researchers with real-world applications by diving deeper into the domain. Computing science students, application developers, and business professionals may also benefit from this examination of applied data science techniques.By highlighting an overall picture of the field, introducing various mining techniques, and focusing on different applications and research directions using these methods, this book can motivate discussions among academics, researchers, professionals, and students to exchange and develop their views regarding the dynamic field that is data mining.

This book provides an integrative overview of Internet-of-Things (IoT) and Cloud Computing to be used for the various futuristic and intelligent applications. It includes a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure and real-time data monitoring.

Some of the hottest topics today involve cryptocurrency, and FinTech. With all these trends, businesses need to become better informed. This book provides an easy-to-read, yet comprehensive, view of cryptocurrency in the U.S. and international markets, as well as the key issues, technologies, applications, challenges, and trends.

Starting with the basics, Concrete Materials and Technology: A Practical Guide examines the production and chemistry of cement, as well as the different types and their applications. Quality control processes and numerous methods for testing are presented and explained in detail.

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like AI, IoT, and Signal Processing. It will also contribute to biosensors, MEMS, and related research.

Aircraft Performance: An Engineering Approach, Second Edition introduces flight performance analysis techniques of fixed-wing air vehicles, particularly heavier-than-air aircraft. It covers maximum speed, absolute ceiling, rate of climb, range, endurance, turn performance, and takeoff run.

The book delves into post-genomics advances in potato improvement since the potato genome sequencing in 2011. It includes recent developments in the field of potato genetic resources, genes and SNP markers discovery, and the progress in next-generation breeding applying various omics technologies and modern sequencing tools. It covers cutting-edge technologies in potato - a global perspective, genome sequencing and resequencing of various cultivated and wild species, potato germplasm management and characterization, prebreeding genomics, genome mapping and gene cloning, markers discovery, marker-assisted selection, transgenics, microRNAs, transcriptomics, proteomics, metabolomics, phenomics, next-generation potato breeding technologies including genome editing and genomic selection and bioinformatics applications in the post-genomics era in potato. As genome editing and genomic selection have become emerging tools in crop improvement including potato, several research works have been demonstrated and applied world over. This book concentrates on genomics-aided characterization of germplasm and markers discovery to accelerate potato breeding. Further, various omics technologies strengthen our understanding ondiscovery of new genes/proteins/metabolites and key traits based on high-throughput phenotyping involved in various biotic and abiotic stresses in potato crop. The book is a useful source of information related to genomics-led research and development of this crop. It will serve as a valuable resource for potato researchers working in the area of molecular biology and would be beneficial for college students, PhD scholars, scientists, academicians, farmers and policy makers.

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. Explores the importance of blockchain technology in the Internet of Things security issues. Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications.This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It furtherdiscusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contributed to the formation of innovative artificial intelligence algorithms. Today, the most effective artificial intelligence method is accepted as deep learning. Convolutional neural network (CNN) architectures are deep learning algorithms used for image processing. This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.

This book explores the development of novel marine biosurfactants. The book also covers the utilization of marine surfactants for biological and biomedical, and environmental applications. Marine Surfactants: Preparations and Applications aims to examine every aspect of marine derived surfactants.The first part of the book discusses the isolation of marine surfactants from various organisms include marine bacteria, algae, cyanobacteria and so on. The editors also examine the cultivation of marine microorganisms and the harvesting of other natural biological resources from the sea. The next part of the book discusses the application marine surfactants, including oil spill removal in the sea, bioremediation of polluted water and soil, treatments for breast cancer, restoration of marine environments, nanoparticles synthesis, and development of different kinds of emulsifiers. With contributions from world-renowned experts in the field, this book will be an essential resource in understanding and developing various marine-derived surfactants. This book is intended for researchers and marine biotechnologists as well as medical practitioners working on a vast range of industrial and medical applications using marine materials. It would also be useful for students looking to understand the utilization of marine derived surfactants.

AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.

One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)-evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, investors, healthcare providers, health authorities, and other stakeholders because of the potential of DTx to deliver equitable, massively scalable, personalized and transformative treatments for different unmet medical needs.Digital Therapeutics: Scientific, Statistical, Clinical, and Regulatory Aspects is an unparalleled summary of the current scientific, statistical, developmental, and regulatory aspects of DTx which is poised to become the fastest growing area of the biopharmaceutical and digital medicine product development. This edited volume intends to provide a systematic exposition to digital therapeutics through 19 peer-reviewed chapters written by subject matter experts in this emerging field.This edited volume is an invaluable resource for business leaders and researchers working in public health, healthcare, digital health, information technology, and biopharmaceutical industries. It will be also useful for regulatory scientists involved in the review of DTx products, and for faculty and students involved in an interdisciplinary research on digital health and digital medicine.Key Features:Provides the taxonomy of the concepts and a navigation tool for the field of DTx.Covers important strategic aspects of the DTx industry, thereby helping investors, developers, and regulators gain a better appreciation of the potential value of DTx.Expounds on many existing and emerging state-of-the art scientific and technological tools, as well as data privacy, ethical and regulatory considerations for DTx product development.Presents several case studies of successful development of some of the most remarkable DTx products.Provides some perspectives and forward-looking statements on the future of digital medicine.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages such as Python, Java and MATLAB(R). Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications.The book is organized into two parts. The first part provides an introduction to swarming algorithms and hybrid techniques. In the second part, real world applications of swarm intelligence are presented to illustrate how swarm algorithms can be used in applications of optimization and pattern recognition, reviewing the principal methods and methodologies in swarm intelligence.