Decision Sciences for COVID-19 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Sciences for COVID-19 write by Said Ali Hassan. This book was released on 2022-02-28. Decision Sciences for COVID-19 available 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.
COVID-19: Prediction, Decision-Making, and its Impacts
COVID-19: Prediction, Decision-Making, and its Impacts - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook COVID-19: Prediction, Decision-Making, and its Impacts write by K.C. Santosh. This book was released on 2020-12-11. COVID-19: Prediction, Decision-Making, and its Impacts available 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.
Artificial Intelligence for COVID-19
Artificial Intelligence for COVID-19 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence for COVID-19 write by Diego Oliva. This book was released on 2021-07-19. Artificial Intelligence for COVID-19 available 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.
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry write by Chkoniya, Valentina. This book was released on 2021-06-25. Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry available 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.
Predictive Models for Decision Support in the COVID-19 Crisis
Predictive Models for Decision Support in the COVID-19 Crisis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive Models for Decision Support in the COVID-19 Crisis write by Joao Alexandre Lobo Marques. This book was released on 2020-12-01. Predictive Models for Decision Support in the COVID-19 Crisis available 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.
