Download Computer Science Protecting Human Society Against Epidemics full books in PDF, epub, and Kindle. Read online Computer Science Protecting Human Society Against Epidemics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021. The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.
Book Synopsis Computer Science Protecting Human Society Against Epidemics by : Aleksander Byrski
Download or read book Computer Science Protecting Human Society Against Epidemics written by Aleksander Byrski and published by Springer Nature. This book was released on 2021-09-01 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021. The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.
This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021. The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.
Book Synopsis Computer Science Protecting Human Society Against Epidemics by : Aleksander Byrski
Download or read book Computer Science Protecting Human Society Against Epidemics written by Aleksander Byrski and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021. The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
Book Synopsis Hybrid Information Systems by : Ramakant Bhardwaj
Download or read book Hybrid Information Systems written by Ramakant Bhardwaj and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-07-22 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.
Book Synopsis Computer Intelligence Against Pandemics by : Siddhartha Bhattacharyya
Download or read book Computer Intelligence Against Pandemics written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-07 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.
The “Integrated Science of Global Epidemics” is the new proposed volume of Integrated Science Book series, aiming to publish the results of the most updated ideas and reviews on Global Epidemics. The whole world is suffering from complex problems, border less problems and global solution should be developed. The Integrated Science of Global Epidemics aims to highlight the combination of different disciplines, including formal sciences, physical-chemical sciences and engineering, biological sciences, medical sciences, and social sciences, to deal with complex problems such as global epidemics. This contributed volume could be used as guidelines for the entire scientific community and policy makers to successfully face these global threats. Chapter 27 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis Integrated Science of Global Epidemics by : Nima Rezaei
Download or read book Integrated Science of Global Epidemics written by Nima Rezaei and published by Springer Nature. This book was released on 2023-05-08 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “Integrated Science of Global Epidemics” is the new proposed volume of Integrated Science Book series, aiming to publish the results of the most updated ideas and reviews on Global Epidemics. The whole world is suffering from complex problems, border less problems and global solution should be developed. The Integrated Science of Global Epidemics aims to highlight the combination of different disciplines, including formal sciences, physical-chemical sciences and engineering, biological sciences, medical sciences, and social sciences, to deal with complex problems such as global epidemics. This contributed volume could be used as guidelines for the entire scientific community and policy makers to successfully face these global threats. Chapter 27 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022. The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages. The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events: – Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) – 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) – 17th Workshop on Trends in Enterprise Architecture Research (TEAR) – EDOC Forum – Demonstrations Track – Doctoral Consortium
Book Synopsis Enterprise Design, Operations, and Computing. EDOC 2022 Workshops by : Tiago Prince Sales
Download or read book Enterprise Design, Operations, and Computing. EDOC 2022 Workshops written by Tiago Prince Sales and published by Springer Nature. This book was released on 2023-02-23 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022. The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages. The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events: – Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) – 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) – 17th Workshop on Trends in Enterprise Architecture Research (TEAR) – EDOC Forum – Demonstrations Track – Doctoral Consortium
Governments, businesses, and individuals around the world are thinking about what happens after the COVID-19 pandemic. Can we hope to not only ward off another COVID-like disaster but also eliminate all respiratory diseases, including the flu? Bill Gates, one of our greatest and most effective thinkers and activists, believes the answer is yes. The author of the #1 New York Times best seller How to Avoid a Climate Disaster lays out clearly and convincingly what the world should have learned from COVID-19 and what all of us can do to ward off another catastrophe like it. Relying on the shared knowledge of the world’s foremost experts and on his own experience of combating fatal diseases through the Gates Foundation, Gates first helps us understand the science of infectious diseases. Then he shows us how the nations of the world, working in conjunction with one another and with the private sector, how we can prevent a new pandemic from killing millions of people and devastating the global economy. Here is a clarion call—strong, comprehensive, and of the gravest importance.
Book Synopsis How to Prevent the Next Pandemic by : Bill Gates
Download or read book How to Prevent the Next Pandemic written by Bill Gates and published by Vintage. This book was released on 2022-05-03 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Governments, businesses, and individuals around the world are thinking about what happens after the COVID-19 pandemic. Can we hope to not only ward off another COVID-like disaster but also eliminate all respiratory diseases, including the flu? Bill Gates, one of our greatest and most effective thinkers and activists, believes the answer is yes. The author of the #1 New York Times best seller How to Avoid a Climate Disaster lays out clearly and convincingly what the world should have learned from COVID-19 and what all of us can do to ward off another catastrophe like it. Relying on the shared knowledge of the world’s foremost experts and on his own experience of combating fatal diseases through the Gates Foundation, Gates first helps us understand the science of infectious diseases. Then he shows us how the nations of the world, working in conjunction with one another and with the private sector, how we can prevent a new pandemic from killing millions of people and devastating the global economy. Here is a clarion call—strong, comprehensive, and of the gravest importance.
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Book Synopsis Federal Statistics, Multiple Data Sources, and Privacy Protection by : National Academies of Sciences, Engineering, and Medicine
Download or read book Federal Statistics, Multiple Data Sources, and Privacy Protection written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-01-27 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Chapter “Swedish Recreational Businesses Coping with COVID-19 Using Technologies” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis HCI International 2022 Posters by : Constantine Stephanidis
Download or read book HCI International 2022 Posters written by Constantine Stephanidis and published by Springer Nature. This book was released on 2022-06-16 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter “Swedish Recreational Businesses Coping with COVID-19 Using Technologies” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
A physician-anthropologist explores how public health practices--from epidemiological modeling to outbreak containment--help perpetuate global inequities. In Epidemic Illusions, Eugene Richardson, a physician and an anthropologist, contends that public health practices--from epidemiological modeling and outbreak containment to Big Data and causal inference--play an essential role in perpetuating a range of global inequities. Drawing on postcolonial theory, medical anthropology, and critical science studies, Richardson demonstrates the ways in which the flagship discipline of epidemiology has been shaped by the colonial, racist, and patriarchal system that had its inception in 1492. Deploying a range of rhetorical tools and drawing on his clinical work in a variety of epidemics, including Ebola in West Africa and the Democratic Republic of Congo, leishmania in the Sudan, HIV/TB in southern Africa, diphtheria in Bangladesh, and SARS-CoV-2 in the United States, Richardson concludes that the biggest epidemic we currently face is an epidemic of illusions—one that is propagated by the coloniality of knowledge production.
Book Synopsis Epidemic Illusions by : Eugene T Richardson
Download or read book Epidemic Illusions written by Eugene T Richardson and published by MIT Press. This book was released on 2020-12-22 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: A physician-anthropologist explores how public health practices--from epidemiological modeling to outbreak containment--help perpetuate global inequities. In Epidemic Illusions, Eugene Richardson, a physician and an anthropologist, contends that public health practices--from epidemiological modeling and outbreak containment to Big Data and causal inference--play an essential role in perpetuating a range of global inequities. Drawing on postcolonial theory, medical anthropology, and critical science studies, Richardson demonstrates the ways in which the flagship discipline of epidemiology has been shaped by the colonial, racist, and patriarchal system that had its inception in 1492. Deploying a range of rhetorical tools and drawing on his clinical work in a variety of epidemics, including Ebola in West Africa and the Democratic Republic of Congo, leishmania in the Sudan, HIV/TB in southern Africa, diphtheria in Bangladesh, and SARS-CoV-2 in the United States, Richardson concludes that the biggest epidemic we currently face is an epidemic of illusions—one that is propagated by the coloniality of knowledge production.
