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  • 1
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Virology. ; Diseases Causes and theories of causation. ; Artificial intelligence. ; Virology. ; Pathogenesis. ; Artificial Intelligence.
    Description / Table of Contents: Chapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.
    Abstract: This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.
    Type of Medium: Online Resource
    Pages: XVI, 189 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819903696
    Series Statement: Medical Virology: From Pathogenesis to Disease Control,
    DDC: 579.2
    Language: English
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  • 2
    Keywords: Virology. ; Epidemiology. ; Artificial intelligence. ; Virology. ; Epidemiology. ; Artificial Intelligence.
    Description / Table of Contents: Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19 -- Chapter 2. Artificial Intelligence based systems for combating COVID-19 -- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19 -- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19 -- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods -- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19 -- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and Diagnosis -- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning -- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients -- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning -- Chapter 12. Machine learning application in COVID-19 drug development -- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach -- Chapter 14. Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine Learning -- Chapter 15. Predictive Risk Analysis by using Machine Learning during Covid-19 -- Chapter 16. Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along With Recursive Feature Elimination for COVID-19 -- Chapter 17. Artificial intelligence in mental healthcare during COVID-19 pandemic -- Chapter 18. Effect of Covid-19 on Autism Spectrum Disorder: Prognosis, diagnosis and therapeutics based On AI -- Chapter 19. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A Literature Review -- Chapter 20. Role of IoT and Social Networking in Mental Healthcare of Transgender Community in Covid-19 Pandemic -- Chapter 21. TECHNOLOGY ACCEPTANCE AND USE OF IOT DURING COVID 19 PANDEMIC-CASE STUDY OF HEALTH SECTOR IN INDIA. Chapter 22. Artificial Intelligence – The Strategies used in COVID-19 for Diagnosis -- Chapter 23. Impact of Isolation and Quarantine on Covid-19 Patients and Potential Role of Technology in Mitigation -- Chapter 24. Impact of loneliness and Quarantine on COVID-19 patients with artificial intelligence applications -- Chapter 25. Can Technology fight the loneliness Lockdown: A study of factors Affecting Loneliness in NCR during COVID 19 -- Chapter 26. Psycho-economic Impact of Obligatory Job Switching during Covid-19 Pandemic: A Study of Hawkers in Bhubaneswar (India) -- Chapter 27. AI’s Role in Essential Commodities during a Pandemic Situation -- Chapter 28.Impact of COVID-19 on Manufacturing and Operational Ecosystem in India -- Chapter 29. Impact of Repatriated Migrants on the Production Possibility of Agricultural Sector owing to Covid: A Study on the basis of Inferential Statistics -- Chapter 30. Nicotine in Covid-19: Friend or Foe”;? -- Chapter 31. Artificial Intelligence in Covid’19: Application and Legal Conundrums.
    Abstract: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
    Type of Medium: Online Resource
    Pages: XX, 595 p. 216 illus., 147 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811573170
    Series Statement: Medical Virology: From Pathogenesis to Disease Control,
    DDC: 579.2
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Landscape ecology. ; Environmental geography. ; Biodiversity. ; Animal culture. ; Forestry. ; Biogeography. ; Landscape Ecology. ; Integrated Geography. ; Biodiversity. ; Animal Science. ; Forestry. ; Biogeosciences.
    Description / Table of Contents: 1. Landscape Background Study Area and Wildlife History -- 2. Conceptual Framework of Landscape Spatial Character and Ecological Interaction -- 3. Quantification of Forest Landscape Pattern for Habitat Quality Assessment -- 4. Quality Assessments Through Analysis of Forest Habitat Configuration and Composition -- 5. Assessment of Habitat Structural Connectivity and Corridors from Ecological Point of View -- 6. Species Specific Habitat Quality Assessment– Asian Elephant (Elephas Maximus) -- 7. Effective Landscape Management Methods to Improve Ecological Quality of Forest Habitat: Case Studies in the Fragmented Habitats -- 8. Landscape Management Methods to Enhance Habitat Quality for Wild Life Conservation in General And Elephants in Specific.
    Abstract: This book presents research on landscape ecology and the relationship between humans and wildlife. It helps readers understand how ecological patterns and processes are interconnected. This research illustrates and proposes (practicable) management strategies toward long-term ecological restoration and mitigation of consequences of conflict. Increasing wildlife activities in localities and forest fringes are an alarming issue. Ecological processes like movement, colonization, extinction and conflict issues depend on the landscape and ecological activities, the movement for example of migratory elephants and their colonization not only affects society but the wildlife and biodiversity too. Strategic management measures can contribute to enriching the biodiversity, habitat quality as well as landscape, while minimizing human-wildlife conflicts. This book describes landscape ecological patterns and processes, habitat dominancy, habitat dependency, suitability, connectivity and corridor selection. To synthesize these patterns and processes, several ecological indices are used. Use of geo-spatial techniques improves future management strategies for similar circumstances, especially, related to forest regeneration and forest restoration. This book provides a concise overview to a wide range of readers including postgraduate students, researcher, academics, landscape planners, decision makers and even local populations. The techniques and management strategies described should help planners to improve forest management, by implementing quality enhancement programs such as plantation area selection and corridor selection.
    Type of Medium: Online Resource
    Pages: XXIX, 170 p. 130 illus., 123 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031336065
    Series Statement: GIScience and Geo-environmental Modelling,
    DDC: 577.5
    Language: English
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  • 4
    Keywords: Environmental sciences Social aspects. ; Sustainability. ; Human geography. ; Environmental geography. ; Environmental Social Sciences. ; Sustainability. ; Human Geography. ; Integrated Geography.
    Description / Table of Contents: 1-Environment, Society and Sustainability: A Human-Nature Interface -- 2-Social Welfare and Sustainable Development: Paradigm Shift -- 2-Ensuring Social Security for Child and the Elderly People -- 3-Geo-heritage and Geo-Ecotourism Conservation- Case Study -- 4-Resource Allocation and Sustainable Development -- 5-Welfare Schemes for Socially Vulnerable Segments -- 6-Population Growth, Poverty and Inequality -- 7-Illiteracy, Unemployment, Underemployment and Migration -- 8-Slums and Issues of Educational Sub-normality of Social Poor -- 9-Urbanization & Housing Affordability, Requirements of the Marginalized People -- 10-Gender Inequality, Women Health Issues and Women Empowerment -- 11-Climate Change and its Social Consequences and adaptation -- 12-Flood and its Impact on Human Livelihoods on Global South- Case study -- 13-Drought and its Associated Social Responses- Case study -- 14-Access to Basic Amenities, Healthcare Services and Mass Education -- 15-Sustainable Agriculture & Rural Development, Industrialization as a Source of Employment -- 16-Protection of Civil Rights, Transgender Equality, Vocal for Local and Ecofeminism -- 17-Conclusion.
    Abstract: This volume discusses a broad range of human welfare problems associated with and stemming from social issues, natural resource deficiencies, environmental hazards, vulnerability to climate change, and sustainability challenges. The chapters form a framework centered around the concept of social morphology, i.e. the role of humans in shaping society, and associated human-nature interactions which inform the ability to achieve sustainable welfare and well-being. The book is divided in six sections. Section I contains the introductory chapters where the book explores shifting interfaces between environment, society, and sustainability outcomes. Section II discusses contemporary issues of social welfare, and covers sustainable in geo-heritage and ecotourism. Section III addresses the roots of various social conflicts and inequalities in relation to overpopulation, poverty, illiteracy, employment concerns, and human migration. Section IV highlights social security and areas of social deprivation, including urban affordability, gender equality, and women’s health. Section V covers social issues resulting from natural hazards and disasters. Section VI concludes the book with a discussion of the way forward for social sustainability. The book will be of interest to students, researchers, policy makers, environmentalists, NGOs, and social scientists.
    Type of Medium: Online Resource
    Pages: XXIX, 739 p. 224 illus., 196 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030967604
    DDC: 304.2
    Language: English
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