Mathematical Modeling And Intelligent Control For Combating Pandemics

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Mathematical Modeling and Intelligent Control for Combating Pandemics

Author : Zakia Hammouch
Publisher : Springer Optimization and Its Applications
ISBN 13 : 9783031331855
Total Pages : 0 pages
Book Rating : 4.3/5 (318 download)

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Book Synopsis Mathematical Modeling and Intelligent Control for Combating Pandemics by : Zakia Hammouch

Download or read book Mathematical Modeling and Intelligent Control for Combating Pandemics written by Zakia Hammouch and published by Springer Optimization and Its Applications. This book was released on 2024-09-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus.

Mathematical Modeling and Intelligent Control for Combating Pandemics

Author : Zakia Hammouch
Publisher : Springer Nature
ISBN 13 : 3031331834
Total Pages : 278 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Mathematical Modeling and Intelligent Control for Combating Pandemics by : Zakia Hammouch

Download or read book Mathematical Modeling and Intelligent Control for Combating Pandemics written by Zakia Hammouch and published by Springer Nature. This book was released on 2023-09-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this carefully curated volume, present cutting-edge research in applied mathematical modeling for combating COVID-19 and other potential pandemics. Mathematical modeling and intelligent control have emerged as powerful computational models and have shown significant success in combating any pandemic. These models can be used to understand how COVID-19 or other pandemics can spread, analyze data on the incidence of infectious diseases, and predict possible future scenarios concerning pandemics. This book also discusses new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 and other pandemics based on intelligent control systems that assist decision-makers, managers, professionals, and researchers. Much of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling and intelligent control for combating the Monkeypox virus and Langya Henipavirus.

Artificial Intelligence and Knowledge Processing

Author : Hemachandran K
Publisher : Springer Nature
ISBN 13 : 3031686179
Total Pages : 417 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Artificial Intelligence and Knowledge Processing by : Hemachandran K

Download or read book Artificial Intelligence and Knowledge Processing written by Hemachandran K and published by Springer Nature. This book was released on with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Conceptual Modeling

Author : Motoshi Saeki
Publisher : Springer Nature
ISBN 13 : 3031755995
Total Pages : 391 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Advances in Conceptual Modeling by : Motoshi Saeki

Download or read book Advances in Conceptual Modeling written by Motoshi Saeki and published by Springer Nature. This book was released on with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Empowering Digital Education with ChatGPT

Author : Mohamed Lahby
Publisher : CRC Press
ISBN 13 : 1040152392
Total Pages : 303 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Empowering Digital Education with ChatGPT by : Mohamed Lahby

Download or read book Empowering Digital Education with ChatGPT written by Mohamed Lahby and published by CRC Press. This book was released on 2024-11-12 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been a significant increase in the development and interest in applying generative AI across various domains, including education. The emergence of large language models (LLMs), such as the ChatGPT tool, fueled by advancements in generative AI, is profoundly reshaping education. The use of the ChatGPT tool offers personalized support, improves accessibility, and introduces innovative methods for students and educators to engage with information and learning materials. Furthermore, ChatGPT facilitates a wide range of language learning services, including language instruction, speech recognition, pronunciation feedback, and immersive virtual simulations for hands-on learning experiences. This book explores the transformative potential of the ChatGPT tool within education, shedding light on the opportunities that arise through the integration of the ChatGPT tool into various aspects of the learning process. It serves as a platform for the community to share cutting-edge research ideas concerning the use of the ChatGPT tool in digital education. Readers will discover how the ChatGPT tool can enhance student engagement, foster personalized learning experiences, facilitate intelligent tutoring systems, support virtual classroom interactions, and revolutionize assessment and feedback mechanisms.

Intelligent Systems and Methods to Combat Covid-19

Author : Amit Joshi
Publisher : Springer Nature
ISBN 13 : 9811565724
Total Pages : 98 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Systems and Methods to Combat Covid-19 by : Amit Joshi

Download or read book Intelligent Systems and Methods to Combat Covid-19 written by Amit Joshi and published by Springer Nature. This book was released on 2020-08-26 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Digital Technologies and Applications

Author : Saad Motahhir
Publisher : Springer Nature
ISBN 13 : 3031686756
Total Pages : 549 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474739
Total Pages : 290 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Data-Driven Approach for Bio-medical and Healthcare

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9811951845
Total Pages : 238 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Data-Driven Approach for Bio-medical and Healthcare by : Nilanjan Dey

Download or read book Data-Driven Approach for Bio-medical and Healthcare written by Nilanjan Dey and published by Springer Nature. This book was released on 2022-10-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

Advances in Data Science and Intelligent Data Communication Technologies for COVID-19

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030773027
Total Pages : 311 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by : Aboul-Ella Hassanien

Download or read book Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.

Computational Intelligence Techniques for Combating COVID-19

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 3030689360
Total Pages : 392 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Intelligence Techniques for Combating COVID-19 by : Sandeep Kautish

Download or read book Computational Intelligence Techniques for Combating COVID-19 written by Sandeep Kautish and published by Springer Nature. This book was released on 2021 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

How COVID-19 is Accelerating the Digital Revolution

Author : R. Anandan
Publisher : Springer Nature
ISBN 13 : 3030981673
Total Pages : 220 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis How COVID-19 is Accelerating the Digital Revolution by : R. Anandan

Download or read book How COVID-19 is Accelerating the Digital Revolution written by R. Anandan and published by Springer Nature. This book was released on 2022-05-18 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how digital technologies have proved to be a useful and necessary tool to help ensure that local and regional governments on the frontline of the emergency can continue to provide essential public services during the COVID-19 crisis. Indeed, as the demand for digital technologies grows, local and regional governments are increasingly committed to improving the lives of their citizens under the principles of privacy, freedom of expression and democracy. The Digital Revolution began between the late 1950s and 1970s and represents the evolution of technology from the mechanical and analog to the digital. The advent of digital technology has also changed how humans communicate – today using computers, smartphones and the internet. Further, the digital revolution has made a tremendous wealth of information accessible to virtually everyone. In turn, the book focuses on key challenges for local and regional governments concerning digital technologies during this crisis, e.g. the balance between privacy and security, the digital divide, and accessibility. Privacy is a challenge in the mitigation of COVID-19, as governments rely on digital technologies like contact-tracking apps and big data to help trace peoples’ patterns and movements. While these methods are controversial and may infringe on rights to privacy, they also appear to be effective measures for rapidly controlling and limiting the spread of the virus. Next, the book discusses the 10 technology trends that can help build a resilient society, as well as their effects on how we do business, how we work, how we produce goods, how we learn, how we seek medical services and how we entertain ourselves. Lastly, the book addresses a range of diversified technologies, e.g. Online Shopping and Robot Deliveries, Digital and Contactless Payments, Remote Work, Distance Learning, Telehealth, Online Entertainment, Supply Chain 4.0, 3D Printing, Robotics and Drones, 5G, and Information and Communications Technology (ICT).

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 981162786X
Total Pages : 324 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Author : Ahmad Taher Azar
Publisher : Springer Nature
ISBN 13 : 303072834X
Total Pages : 1115 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Modeling, Control and Drug Development for COVID-19 Outbreak Prevention by : Ahmad Taher Azar

Download or read book Modeling, Control and Drug Development for COVID-19 Outbreak Prevention written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2021-11-01 with total page 1115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19. This is an open access book.

Use of AI, Robotics and Modelling tools to fight Covid-19

Author : Arpit Jain
Publisher : CRC Press
ISBN 13 : 1000794792
Total Pages : 246 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Use of AI, Robotics and Modelling tools to fight Covid-19 by : Arpit Jain

Download or read book Use of AI, Robotics and Modelling tools to fight Covid-19 written by Arpit Jain and published by CRC Press. This book was released on 2022-09-01 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has hit the global at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defence mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic. AI technology is useful for fast drug development and treatment. In the starting phase of COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network model have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses. Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 is aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Intelligent Data Analysis for COVID-19 Pandemic

Author : M. Niranjanamurthy
Publisher : Springer Nature
ISBN 13 : 9811615748
Total Pages : 370 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analysis for COVID-19 Pandemic by : M. Niranjanamurthy

Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.