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  • 1
    Online Resource
    Online Resource
    Artificial Intelligence in Medical Virology (2023)
    Singapore :Springer Nature Singapore :
    Details
    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,
    URL: https://doi.org/10.1007/978-981-99-0369-6
    DOI: 10.1007/978-981-99-0369-6
    DDC: 579.2
    Language: English
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  • 2
    Online Resource
    Online Resource
    Applications of Artificial Intelligence in COVID-19 (2021)
    Singapore :Springer Nature Singapore :
    Details
    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,
    URL: https://doi.org/10.1007/978-981-15-7317-0
    DOI: 10.1007/978-981-15-7317-0
    DDC: 579.2
    Language: English
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  • 3
    Online Resource
    Online Resource
    Lead in Plants and the Environment (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Environmental monitoring. ; Environmental chemistry. ; Soil science. ; Plant ecology. ; Environmental Monitoring. ; Environmental Chemistry. ; Soil Science. ; Plant Ecology.
    Description / Table of Contents: Chapter1: Main analytical methods for determining lead in environmental and biological samples -- Chapter2: Environmental distribution and modelling of radioactive lead (210): A Monte Carlo simulation application -- Chapter3: Lead pollution and human exposure: Forewarned is forearmed, and the question now becomes how to respond to the threat! -- Chapter4: Impact of lead contamination on agro-ecosystem and human health -- Chapter5: Lead contamination and its dynamics in soil plant system -- Chapter6: Lead toxicity in plants: A review -- Chapter7: The mechanisms involved in photosynthetic apparatus protection against lead toxicity -- Chapter8: Physiological and biochemical changes in plant growth and different plant enzymes in response to lead stress -- Chapter9: Biological strategies of lichen symbionts to the toxicity of lead (Pb) -- Chapter10: Phytoremediation of lead: A review.
    Abstract: This book examines the way that lead enters the biosphere and the subsequent environmental impact. The contributing authors include international experts who provide methods for assessing and characterizing the ecological risk of lead contamination of soil and plants. Information is provided on the consequences for human health as a result of lead pollution. This book reveals that approximately 98% of stable lead in the atmosphere originates from human activities. Lead in Plants and the Environment reports on methods for detecting, measuring, and assessing the concentration of lead in plants. The authors provide a method for the measurement of 210Pb isotopes in plants. This method can be applied extensively in different environmental settings, not only as a way of revealing sources of lead, but also as a way to monitor lead transport in plants and animals that ingest them. The chapters include coverage on the following topics: · Lead bioavailability in the environment and its exposure and effects · Radioanalytical methods for detecting and identifying trace concentrations of lead in the environment · Lead contamination and its dynamics in soil plant systems · Lead pollution monitoring and remediation through terrestrial plants in mesocosm constructed wetlands · A review of phytoremediation of lead This book is a valuable resource to students, academics, researchers, and environmental professionals doing field work on lead contamination throughout the world.
    Type of Medium: Online Resource
    Pages: IX, 207 p. 40 illus., 38 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030216382
    Series Statement: Radionuclides and Heavy Metals in the Environment,
    URL: https://doi.org/10.1007/978-3-030-21638-2
    DOI: 10.1007/978-3-030-21638-2
    DDC: 363.7063
    Language: English
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  • 4
    Online Resource
    Online Resource
    Anthropogeomorphology : A Geospatial Technology Based Approach (2022)
    Cham :Springer International Publishing :
    Details
    Keywords: Physical geography. ; Earth sciences. ; Environmental monitoring. ; Geographic information systems. ; Physical Geography. ; Earth Sciences. ; Environmental Monitoring. ; Geographical Information System.
    Description / Table of Contents: Chapter 1-Introduction: Anthropogeomorphology and Geospatial Technology -- Chapter 2-Geospatial Hydrometeorology -- Chapter 3-Remote Sensing Based Assessment of Water Management and Anthropogenic Process -- Chapter 4-Riverine Geomorphology Using Geospatial Technology & Anthropogenic Process -- Chapter 5-Coastal Geomorphology using RS and GIS and Anthropogenic Process -- Chapter 6-GIS based Study of Forest Ecology and Anthropogenic Process -- Chapter 7-Web GIS based Decision Support System for Agricultural Landscape and Anthropogenic Process -- Chapter 8-Satellite based Monitoring of Soil Erosion Mapping and Modelling and Anthropogenic activity -- Chapter 9-Geoinformatics for Urbanogenic Intervention and Anthropogenic Process -- Chapter 10-Industrogenic intervention and Anthropogenic Process -- Chapter 11-Anthropogenic Process and Montanogenic Intervention: Geospatial Information Based Study -- Chapter 12-Application of Geospatial Technology on Tourism activity and Anthropogenic impact.
    Abstract: This book explores state-of-art techniques based on open-source software and statistical programming and modelling in modern geospatial applications, specifically focusing on recent trends in data mining techniques and robust modelling in Geomorphological, Hydrological, Bio-physical and Social activities. The book is organized into physical, mountainous, coastal, riverine, forest, urban and biological activities, with each chapter providing a review of the current knowledge in the focus area, and evaluating where future efforts should be directed. The text compiles a collection of recent developments and rigorous applications of Geospatial computational intelligence (e.g., artificial neural network, spatial interpolation, physical and environmental modelling and machine learning algorithms etc) in geomorphic processes from a team of expert contributors. The authors address the wide range of challenges and uncertainties in the study of earth system dynamics due to climate change, and complex anthropogenic interferences where spatial modelling may be applied in the risk assessment of vulnerable geomorphological landscapes. The book will act as a guide to find recent advancements in geospatial artificial intelligence techniques and its application to natural and social hazards. This information will be helpful for students, researchers, policy makers, environmentalists, planners involved in natural hazard and disaster management, NGOs, and government organizations.
    Type of Medium: Online Resource
    Pages: XXVII, 668 p. 291 illus., 268 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030775728
    Series Statement: Geography of the Physical Environment,
    URL: https://doi.org/10.1007/978-3-030-77572-8
    DOI: 10.1007/978-3-030-77572-8
    DDC: 910.02
    Language: English
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