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1. |
Record Nr. |
UNINA9910585954103321 |
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Titolo |
Revitalizing endangered languages : a practical guide / / edited by Justyna Olko, Julia Sallabank [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2021 |
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ISBN |
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1-108-62443-X |
1-108-64114-8 |
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Descrizione fisica |
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1 online resource (xvii, 331 pages) : digital, PDF file(s) |
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Disciplina |
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Soggetti |
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Language revival |
Endangered languages |
Language policy |
Language maintenance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 27 Apr 2021). |
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Sommario/riassunto |
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Of the approximately 7,000 languages in the world, at least half may no longer be spoken by the end of the twenty-first century. Languages are endangered by a number of factors, including globalization, education policies, and the political, economic and cultural marginalization of minority groups. This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies. The chapter authors have hands-on experience of language revitalization in many countries around the world, and each chapter includes a wealth of examples, such as case studies from specific languages and language areas. Clearly and accessibly written, it is suitable for non-specialists as well as academic researchers and students interested in language revitalization. This book is also available as Open Access on Cambridge Core. |
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2. |
Record Nr. |
UNIORUON00295450 |
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Autore |
KONRAD : von Würzburg |
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Titolo |
Kleinere Dichtungen Konrads von Würzburg. 3.: Die Klage der Kunst ; Leiche Lieder und Sprüche / herausgegeben von Edward Schröder ; mit einem Nachwort von Ludwig Wolff |
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Pubbl/distr/stampa |
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Berlin, : Weidmann Verlagsbuchhandlung, 1959 |
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Edizione |
[2. Auflage] |
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Descrizione fisica |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910743223503321 |
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Titolo |
Intelligent Healthcare : Infrastructure, Algorithms and Management / / edited by Chinmay Chakraborty, Mohammad R. Khosravi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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981-16-8150-3 |
981-16-8149-X |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (493 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Medical informatics |
Computational intelligence |
Internet of things |
Biomedical engineering |
Image processing |
Computers and civilization |
Health Informatics |
Computational Intelligence |
Internet of Things |
Medical and Health Technologies |
Image Processing |
Computers and Society |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1. Distributed and Big Health Data Processing for Remote and Ubiquitous Healthcare Services Using Blind Statistical Computing: Review and Trends on Blindness for Internet of Artificially Intelligent Medical Things -- Chapter 2. Computer Techniques for Medical Image Classifica-tion: A Review -- Chapter 3. Optimal Feature Selection for Computer-Aided Charac-terization of Tissues – Case Study of Mammograms -- Chapter 4. Breast Cancer Detection Using Particle Swarm Op-timization and Decision Tree Machine Learning Technique -- Chapter 5. Accountable, Responsible,Transparent Artificial Intelligence in Ambient IntelligenceSystems for Healthcare -- Chapter 6. Intelligent elderly people fall detection based on modified deep learning deep transfer learning and IoT using thermal imaging-assisted pervasive surveillance -- Chapter 7. An Analytic Approach to Diagnose Heart Stroke Using Supervised Machine Learning Techniques -- Chapter 8. A Predictive Analysis for Diagnosis of COVID-19, Pneumoniaand Lung Cancer Using Deep Learning -- Chapter 9. Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues -- Chapter 10. Secure and Privacy-aware Intelligent Healthcare Systems: A Review -- Chapter 11. Secure data transfer and provenance for distributed healthcare -- Chapter 12. Blockchain Technology in Healthcare: Use cases Study -- Chapter 13. Integrating Artificial Intelligence and Blockchain for Enabling a Trusted Ecosystem for Healthcare Sector -- Chapter 14. Internet of Medical Things (IoMT): Applications, Challenges, and Prospects in a Data-Driven Technology -- Chapter 15. Healthcare Infrastructure in Future Smart Cities -- Chapter 16. Wearable Sensors and Pervasive Computing for Remote Healthcare -- Chapter 17. A wavelet-based robust medical image watermarking technique using whale optimization algorithm for data exchange through internet of medical things -- Chapter 18. Emergence of 3D Printing Technology in the Intelligent Healthcare Systems: A BriefDrug Delivery Approach -- Chapter 19. Efficient Physical Layer Techniques for Healthcare Applications: Co-operative Network Coding Algorithms and Modified Equalizers -- Chapter 20. Emerging Paradigm of Smart Healthcare in the Management of COVID-19 Pandemic and Future Health Crisis -- Chapter 21. E-Health System for Automatic Control of Travel Certificates and Monitoring of the Spread of COVID-19 in Tunisia. |
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Sommario/riassunto |
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The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer |
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science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue. |
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