Novel Ai And Data Science Advancements For Sustainability In The Era Of Covid 19

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Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Author : Victor Chang,Mohamed Abdel-Basset,Muthu Ramachandran,Nicolas Green,Gary Wills
Publisher : Academic Press
Page : 294 pages
File Size : 52,8 Mb
Release : 2022-04-05
Category : Medical
ISBN : 9780323903783

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Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 by Victor Chang,Mohamed Abdel-Basset,Muthu Ramachandran,Nicolas Green,Gary Wills Pdf

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Author : Iyer, Sailesh Suryanarayan,Jain, Arti,Wang, John
Publisher : IGI Global
Page : 411 pages
File Size : 48,7 Mb
Release : 2021-12-24
Category : Technology & Engineering
ISBN : 9781799887881

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Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by Iyer, Sailesh Suryanarayan,Jain, Arti,Wang, John Pdf

The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.

Sustainable Intelligent Systems

Author : Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós
Publisher : Springer Nature
Page : 282 pages
File Size : 52,7 Mb
Release : 2021-03-06
Category : Technology & Engineering
ISBN : 9789813349018

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Sustainable Intelligent Systems by Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós Pdf

This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Springer Nature
Page : 324 pages
File Size : 48,7 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811627866

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Impact of AI and Data Science in Response to Coronavirus Pandemic by Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra Pdf

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.

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publisher : Springer Nature
Page : 307 pages
File Size : 55,8 Mb
Release : 2020-10-12
Category : Computers
ISBN : 9783030552589

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy Pdf

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Intelligent Systems and Methods to Combat Covid-19

Author : Amit Joshi,Nilanjan Dey,K. C. Santosh
Publisher : Springer Nature
Page : 91 pages
File Size : 50,9 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9789811565724

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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.

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

Author : Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka
Publisher : Springer Nature
Page : 311 pages
File Size : 53,5 Mb
Release : 2021-07-23
Category : Computers
ISBN : 9783030773021

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Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka Pdf

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.

AI-enabled Data Science for COVID-19

Author : Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen
Publisher : Frontiers Media SA
Page : 115 pages
File Size : 45,8 Mb
Release : 2022-01-13
Category : Science
ISBN : 9782889740505

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AI-enabled Data Science for COVID-19 by Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen Pdf

Artificial Intelligence for Coronavirus Outbreak

Author : Simon James Fong,Nilanjan Dey,Jyotismita Chaki
Publisher : Springer Nature
Page : 84 pages
File Size : 41,6 Mb
Release : 2020-06-22
Category : Technology & Engineering
ISBN : 9789811559365

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Artificial Intelligence for Coronavirus Outbreak by Simon James Fong,Nilanjan Dey,Jyotismita Chaki Pdf

This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives. The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.

Sustainable Development and Innovation of Digital Enterprises for Living with COVID-19

Author : Subhra R Mondal,Jana Majerova,Subhankar Das
Publisher : Springer Nature
Page : 180 pages
File Size : 41,7 Mb
Release : 2022-07-12
Category : Business & Economics
ISBN : 9789811921735

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Sustainable Development and Innovation of Digital Enterprises for Living with COVID-19 by Subhra R Mondal,Jana Majerova,Subhankar Das Pdf

This book explores the implications of descriptive, predictive, and prescriptive digital enterprises and their practices for different functional domains and in different counties during COVID-19. This book will bring new dimensions of study to the concept of digital enterprises which is sure to change after COVID-19 as it has upended the way in which people work, live and communicate. Covering a broad range of topics related to digital enterprises, this book is meant for business owners, digital professionals, managers, researchers, and academics who are seeking to integrate digital enterprises in order to allow organizations and countries to stay on a sustainable development trajectory while living with COVID-19.

Artificial Intelligence in Healthcare

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 55,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence and Machine Learning for COVID-19

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 46,6 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

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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.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Unknown
Page : 0 pages
File Size : 52,5 Mb
Release : 2021
Category : Electronic
ISBN : 9811627878

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Impact of AI and Data Science in Response to Coronavirus Pandemic by Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra Pdf

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.

Applied Big Data Analytics and Its Role in COVID-19 Research

Author : Zhao, Peng,Chen, Xi
Publisher : IGI Global
Page : 349 pages
File Size : 40,5 Mb
Release : 2022-04-29
Category : Computers
ISBN : 9781799887959

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Applied Big Data Analytics and Its Role in COVID-19 Research by Zhao, Peng,Chen, Xi Pdf

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Advances in Food Security and Sustainability

Author : Marc J. Cohen
Publisher : Academic Press
Page : 308 pages
File Size : 42,7 Mb
Release : 2021-10-29
Category : Technology & Engineering
ISBN : 9780128213087

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Advances in Food Security and Sustainability by Marc J. Cohen Pdf

Advances in Food Security and Sustainability, Volume Six looks at the challenges, constraints and solutions necessary to maintain a healthy and accessible food supply in different communities. This ongoing series addresses a wide range of issues on food sustainability and security, with chapters in this release covering the Significance of Short Food Supply Chains During Pandemic Times, Food Security Challenges and Opportunities in Indonesia Post COVID-19, Understanding the genetic diversity and association mapping of nutritional traits in graminaceous crops: Progress and prospects, and Traditional foods and food security: Actors, production, and the challenge of integration into markets before and after the pandemic. Contains expertise from leading contributors on presented topics Covers a vast array of subjects related to food security and sustainability Explores challenges related to protecting environmental resources while also meeting human nutritional requirements