Computational Intelligence Techniques For Combating Covid 19

Computational Intelligence Techniques For Combating Covid 19 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Computational Intelligence Techniques For Combating Covid 19 book. This book definitely worth reading, it is an incredibly well-written.

Computational Intelligence Techniques for Combating COVID-19

Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Computational Intelligence Techniques for Combating COVID 19 Book PDF

Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Publisher : Springer Nature
Page : 392 pages
File Size : 55,7 Mb
Release : 2021
Category : Biomedical engineering
ISBN : 9783030689360

Get Book

Computational Intelligence Techniques for Combating COVID-19 by Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid Pdf

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).

Intelligent Systems and Methods to Combat Covid-19

Amit Joshi,Nilanjan Dey,K. C. Santosh
Intelligent Systems and Methods to Combat Covid 19 Book PDF

Author : Amit Joshi,Nilanjan Dey,K. C. Santosh
Publisher : Springer Nature
Page : 91 pages
File Size : 51,6 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9789811565724

Get Book

Intelligent Systems and Methods to Combat Covid-19 by Amit Joshi,Nilanjan Dey,K. C. Santosh Pdf

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.

Understanding COVID-19: The Role of Computational Intelligence

Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
Understanding COVID 19 The Role of Computational Intelligence Book PDF

Author : Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
Publisher : Springer Nature
Page : 569 pages
File Size : 50,5 Mb
Release : 2021-07-27
Category : Technology & Engineering
ISBN : 9783030747619

Get Book

Understanding COVID-19: The Role of Computational Intelligence by Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham Pdf

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.

Artificial Intelligence and Machine Learning for COVID-19

Fadi Al-Turjman
Artificial Intelligence and Machine Learning for COVID 19 Book PDF

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 55,7 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

Get Book

Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Advanced AI and Internet of Health Things for Combating Pandemics

Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Advanced AI and Internet of Health Things for Combating Pandemics Book PDF

Author : Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Publisher : Springer Nature
Page : 397 pages
File Size : 40,9 Mb
Release : 2023-07-24
Category : Technology & Engineering
ISBN : 9783031286315

Get Book

Advanced AI and Internet of Health Things for Combating Pandemics by Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud Pdf

This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.

Computational Intelligence for COVID-19 and Future Pandemics

Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Computational Intelligence for COVID 19 and Future Pandemics Book PDF

Author : Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publisher : Springer Nature
Page : 435 pages
File Size : 41,8 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811637834

Get Book

Computational Intelligence for COVID-19 and Future Pandemics by Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo Pdf

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Khalid Raza
Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 436 pages
File Size : 41,7 Mb
Release : 2020-10-16
Category : Technology & Engineering
ISBN : 9789811585340

Get Book

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by Khalid Raza Pdf

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Computational Intelligence for Managing Pandemics

Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
Computational Intelligence for Managing Pandemics Book PDF

Author : Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
Publisher : Walter de Gruyter GmbH & Co KG
Page : 394 pages
File Size : 51,6 Mb
Release : 2021-09-07
Category : Computers
ISBN : 9783110712278

Get Book

Computational Intelligence for Managing Pandemics by Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar Pdf

This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

Computer Intelligence Against Pandemics

Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen
Computer Intelligence Against Pandemics Book PDF

Author : Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 386 pages
File Size : 50,9 Mb
Release : 2023-08-07
Category : Computers
ISBN : 9783110767681

Get Book

Computer Intelligence Against Pandemics by Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen Pdf

This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Artificial Intelligence for COVID-19

Diego Oliva,Said Ali Hassan,Ali Mohamed
Artificial Intelligence for COVID 19 Book PDF

Author : Diego Oliva,Said Ali Hassan,Ali Mohamed
Publisher : Springer Nature
Page : 594 pages
File Size : 40,8 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9783030697440

Get Book

Artificial Intelligence for COVID-19 by Diego Oliva,Said Ali Hassan,Ali Mohamed Pdf

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.

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Researches and Applications of Artificial Intelligence to Mitigate Pandemics Book PDF

Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Publisher : Academic Press
Page : 183 pages
File Size : 44,9 Mb
Release : 2021-04-27
Category : Technology & Engineering
ISBN : 9780323899963

Get Book

Researches and Applications of Artificial Intelligence to Mitigate Pandemics by Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed Pdf

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

Data Science for COVID-19 Volume 1

Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Data Science for COVID 19 Volume 1 Book PDF

Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Page : 754 pages
File Size : 40,8 Mb
Release : 2021-05-20
Category : Science
ISBN : 9780128245378

Get Book

Data Science for COVID-19 Volume 1 by Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna Pdf

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Aboul Ella Hassanien,Ashraf Darwish
Digital Transformation and Emerging Technologies for Fighting COVID 19 Pandemic Innovative Approaches Book PDF

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 310 pages
File Size : 42,7 Mb
Release : 2021-03-10
Category : Technology & Engineering
ISBN : 9783030633073

Get Book

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Siddhartha Bhattacharyya
Intelligent Modeling Prediction and Diagnosis from Epidemiological Data Book PDF

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 290 pages
File Size : 55,5 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9781000474732

Get Book

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by Siddhartha Bhattacharyya Pdf

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.

Computational Intelligence Techniques for Green Smart Cities

Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Computational Intelligence Techniques for Green Smart Cities Book PDF

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 43,6 Mb
Release : 2022-04-22
Category : Science
ISBN : 9783030964290

Get Book

Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.