Decision Sciences For Covid 19 PDF Download
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Author | : Said Ali Hassan |
Publisher | : Springer Nature |
Total Pages | : 475 |
Release | : 2022-02-28 |
Genre | : Business & Economics |
ISBN | : 3030870197 |
Download Decision Sciences for COVID-19 Book in PDF, ePub and Kindle
This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
Author | : K.C. Santosh |
Publisher | : Springer Nature |
Total Pages | : 137 |
Release | : 2020-12-11 |
Genre | : Technology & Engineering |
ISBN | : 9811596824 |
Download COVID-19: Prediction, Decision-Making, and its Impacts Book in PDF, ePub and Kindle
The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.
Author | : Joao Alexandre Lobo Marques |
Publisher | : Springer Nature |
Total Pages | : 103 |
Release | : 2020-11-30 |
Genre | : Technology & Engineering |
ISBN | : 3030619133 |
Download Predictive Models for Decision Support in the COVID-19 Crisis Book in PDF, ePub and Kindle
COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
Author | : Diego Oliva |
Publisher | : Springer Nature |
Total Pages | : 594 |
Release | : 2021-07-19 |
Genre | : Technology & Engineering |
ISBN | : 3030697444 |
Download Artificial Intelligence for COVID-19 Book in PDF, ePub and Kindle
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Author | : Chkoniya, Valentina |
Publisher | : IGI Global |
Total Pages | : 653 |
Release | : 2021-06-25 |
Genre | : Computers |
ISBN | : 1799869865 |
Download Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Book in PDF, ePub and Kindle
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
Author | : Joao Alexandre Lobo Marques |
Publisher | : Springer |
Total Pages | : 98 |
Release | : 2020-12-01 |
Genre | : Technology & Engineering |
ISBN | : 9783030619121 |
Download Predictive Models for Decision Support in the COVID-19 Crisis Book in PDF, ePub and Kindle
COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
Author | : Lukas Ringlage |
Publisher | : |
Total Pages | : |
Release | : 2021 |
Genre | : |
ISBN | : |
Download Real-time Change Point Detection of the Covid-19 Infections Book in PDF, ePub and Kindle
Author | : Utku Kose |
Publisher | : Academic Press |
Total Pages | : 754 |
Release | : 2021-05-20 |
Genre | : Science |
ISBN | : 0128245379 |
Download Data Science for COVID-19 Volume 1 Book in PDF, ePub and Kindle
Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions
Author | : H Chaturvedi |
Publisher | : Bloomsbury Publishing |
Total Pages | : 436 |
Release | : 2021-03-15 |
Genre | : Business & Economics |
ISBN | : 9354351204 |
Download The New Normal Book in PDF, ePub and Kindle
Each article in the book demystifies the multidimensional impact that the pandemic has had on the professional and personal spheres of the human lives. The authors who have shared their knowledge and research hail from Austria, Bangladesh, France, India, Indonesia, Malaysia and USA. Further, the fact that the authors include University Vice Chancellors, Directors, and Distinguished Professors, suggests that the insights provided in the articles are unparalleled, diverse, boundaryless and unique. The 23 articles in this book are divided in 5 sections namely Families Disconnecting or Reconnecting, Disrupted Lives During Pandemic, Reflecting on Professional Life, Revisiting Organizational Culture and Well-being, and Business and Academia Surviving the Crisis.
Author | : Eric Winsberg |
Publisher | : |
Total Pages | : 81 |
Release | : 2024-02-08 |
Genre | : Mathematics |
ISBN | : 1009468219 |
Download Scientific Models and Decision Making Book in PDF, ePub and Kindle
This Element introduces the philosophical literature on models, focusing on normative considerations relevant to models for decisionmaking.