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Titre : Leveraging Artificial Intelligence in Global Epidemics Type de document : e-book Auteurs : Le GRUENWALD Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780323897778 Note générale : copyrighted Langues : Anglais (eng) Résumé : Leveraging Artificial Intelligence in Global Epidemicsprovides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930837 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553036 Libraries, Digital Information, and COVID : Practical Applications and Approaches to Challenge and Change / David BAKER / ELSEVIER SCIENCE (2021)
Titre : Libraries, Digital Information, and COVID : Practical Applications and Approaches to Challenge and Change Type de document : e-book Auteurs : David BAKER Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780323884938 Note générale : copyrighted Langues : Anglais (eng) Résumé : COVID-19 is profoundly affecting the ways in which we live, learn, plan, and develop. What does COVID-19 mean for the future of digital information use and delivery, and for more traditional forms of library provision? Libraries, Digital Information, and COVID gives immediate and long-term solutions for librarians responding to the challenge of COVID-19. The book helps library leaders prepare for a post-COVID-19 world, giving guidance on developing sustainable solutions. The need for sustainable digital access has now become acute, and while offering a physical space will remain important, current events are likely to trigger a shift toward off-site working and study, making online access to information more crucial. Libraries have already been providing access to digital information as a premium service. New forms and use of materials all serve to eliminate the need for direct contact in a physical space. Such spaces will come to be predicated on evolving systems of digital information, as critical needs are met by remote delivery of goods and services. Intensified financial pressure will also shape the future, with a reassessment of information and its commercial value. In response, there will be a massification of provision through increased cooperation and collaboration. These significant transitions are driving professionals to rethink and question their identities, values, and purpose. This book responds to these issues by examining the practicalities of running a library during and after the pandemic, answering questions such as: What do we know so far? How are institutions coping? Where are providers placing themselves on the digital/print and the remote/face-to-face continuums? This edited volume gives analysis and examples from around the globe on how libraries are managing to deliver access and services during COVID-19. This practical and thoughtful book provides a framework within which library directors and their staff can plan sustainable services and collections for an uncertain future. Focuses on the immediate practicalities of service provision under COVID-19 Considers longer-term strategic responses to emerging challenges Identifies key concerns and problems for librarians and library leaders Analyzes approaches to COVID-19 planning Presents and examines exemplars of best practice from around the world Offers practical models and a useful framework for the future Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930839 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553661 Machine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies / Patrick BANGERT / ELSEVIER SCIENCE (2021)
Titre : Machine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies Type de document : e-book Auteurs : Patrick BANGERT Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128207147 Note générale : copyrighted Langues : Anglais (eng) Résumé : Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful Gain practical understanding of machine learning used in oil and gas operations through contributed case studies Learn change management skills that will help gain confidence in pursuing the technology Understand the workflow of a full-scale project and where machine learning benefits (and where it does not) Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930832 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550503 Machine Learning Guide for Oil and Gas Using Python : A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications / Hoss BELYADI / ELSEVIER SCIENCE (2021)
Titre : Machine Learning Guide for Oil and Gas Using Python : A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications Type de document : e-book Auteurs : Hoss BELYADI Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128219294 Note générale : copyrighted Langues : Anglais (eng) Résumé : Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. Helps readers understand how open-source Python can be utilized in practical oil and gas challenges Covers the most commonly used algorithms for both supervised and unsupervised learning Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930830 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550492
Titre : Machine Reading Comprehension : Algorithms and Practice Type de document : e-book Auteurs : Chenguang ZHU Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780323901185 Note générale : copyrighted Langues : Anglais (eng) Résumé : Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing. Presents the first comprehensive resource on machine reading comprehension (MRC) Performs a deep-dive into MRC, from fundamentals to latest developments Offers the latest thinking and research in the field of MRC, including the BERT model Provides theoretical discussion, code analysis, and real-world applications of MRC Gives insight from research which has led to surpassing human parity in MRC Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930821 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550499 Managing Wine Quality : Volume 1: Viticulture and Wine Quality Ed. 2 / Andrew G. REYNOLDS / ELSEVIER SCIENCE (2021)PermalinkManaging Wine Quality : Volume 2: Oenology and Wine Quality Ed. 2 / Andrew G. REYNOLDS / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkPermalinkNew Optimization Algorithms and their Applications : Atom-Based, Ecosystem-Based and Economics-Based / Zhenxing ZHANG / ELSEVIER SCIENCE (2021)PermalinkPermalinkPreparing a Workforce for the New Blue Economy : People, Products and Policies / Liesl HOTALING / ELSEVIER SCIENCE (2021)PermalinkPrivate Equity and Venture Capital in Europe : Markets, Techniques, and Deals Ed. 3 / Stefano CASELLI / ELSEVIER SCIENCE (2021)PermalinkPrivate Equity and Venture Capital in Europe : Markets, Techniques, and Deals Ed. 3 / Stefano CASELLI / ELSEVIER SCIENCE (2021)Permalink
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