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Information Security Technologies for Controlling Pandemics, Jahankhani


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Автор: Jahankhani
Название:  Information Security Technologies for Controlling Pandemics
ISBN: 9783030721220
Издательство: Springer
Классификация:




ISBN-10: 3030721221
Обложка/Формат: Soft cover
Страницы: 461
Вес: 0.71 кг.
Дата издания: 13.08.2022
Серия: Advanced Sciences and Technologies for Security Applications
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 130 illustrations, color; 21 illustrations, black and white; vi, 461 p. 151 illus., 130 illus. in color.; 130 illustrations, color; 21 illustrations,
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data.


Enabling Healthcare 4.0 for Pandemics

Автор: Abhinav Juneja, Vikram Bali, Sapna Juneja, Vishal
Название: Enabling Healthcare 4.0 for Pandemics
ISBN: 1119768799 ISBN-13(EAN): 9781119768791
Издательство: Wiley
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Цена: 25811.00 р.
Наличие на складе: Поставка под заказ.

Описание: ENABLING HEALTHCARE 4.0 for PANDEMICS

The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics.

In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart IoT-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics.

In this book, the reader will find:

  • State-of-the-art technological advancements in pandemic management;
  • AI and ML-based identification and forecasting of pandemic spread;
  • Smart IoT-based ecosystem for pandemic scenario.

Audience
The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.

Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis

Автор: Pani Subhendu Kumar, Dash Sujata, Dos Santos Wellington
Название: Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
ISBN: 303079752X ISBN-13(EAN): 9783030797522
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic

Pramit Pandit, K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi, Rahul Thangeda, Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, K. K. Mishra, Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

Chapter 8: Machine learning approaches for COVID 19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 9: Smart sensing for COVID 19 Pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters

Arianne Sarmento Torcate, Flбvio Secco Fonseca, Antфnio Ravely. T. Lima, Flaviano Palmeira Santos, Tбssia D. Muniz S. Oliveira, Maнra Araъjo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos

Chapter 12: Bioinformatics in Diagnosis of Covid-19

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques

Bhimavarapu Usharani

Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data

Sitanath Biswas, Sujata Dash

Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning

Maнra Araъjo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Jonathan Bandeira, Mкuser Jorge Silva Valenзa, Ricardo Emmanuel de Souza, Aras Ismael Masood, Wellington Pinheiro dos Santos

Chapter 16: Analysis of Blockchain Backed Covid19 Data

Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram

Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review

Clarisse Lins de Lima, Ana Clara Gomes da Silva, Cecilia Cordeiro da Silva, Giselle Machado Magalhгes Moreno, Abel Guilhermino da

Emerging Technologies in Data Mining and Information Security

Автор: Abraham
Название: Emerging Technologies in Data Mining and Information Security
ISBN: 9811314977 ISBN-13(EAN): 9789811314971
Издательство: Springer
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Цена: 41925.00 р.
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Описание: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018.

Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 3

Автор: Tavares Joгo Manuel R. S., Chakrabarti Satyajit, Bhattacharya Abhishek
Название: Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 3
ISBN: 9811597731 ISBN-13(EAN): 9789811597732
Издательство: Springer
Цена: 27950.00 р.
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Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.

Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3

Автор: Tavares Joгo Manuel R. S., Chakrabarti Satyajit, Bhattacharya Abhishek
Название: Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3
ISBN: 9811597766 ISBN-13(EAN): 9789811597763
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
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Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.

Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 1

Автор: Hassanien Aboul Ella, Bhattacharyya Siddhartha, Chakrabati Satyajit
Название: Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 1
ISBN: 9811599262 ISBN-13(EAN): 9789811599262
Издательство: Springer
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.

Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 2

Автор: Hassanien Aboul Ella, Bhattacharyya Siddhartha, Chakrabati Satyajit
Название: Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 2
ISBN: 9813343664 ISBN-13(EAN): 9789813343665
Издательство: Springer
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.

Emerging Technologies in Data Mining and Information Security

Автор: Abraham
Название: Emerging Technologies in Data Mining and Information Security
ISBN: 9811315000 ISBN-13(EAN): 9789811315008
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018.

Emerging Technologies in Data Mining and Information Security

Автор: Ajith Abraham; Paramartha Dutta; Jyotsna Kumar Man
Название: Emerging Technologies in Data Mining and Information Security
ISBN: 9811319502 ISBN-13(EAN): 9789811319501
Издательство: Springer
Рейтинг:
Цена: 39130.00 р.
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Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.

Information Security Technologies in the Decentralized Distributed Networks

Автор: Oliynykov Roman, Kuznetsov Oleksandr, Lemeshko Oleksandr
Название: Information Security Technologies in the Decentralized Distributed Networks
ISBN: 303095160X ISBN-13(EAN): 9783030951603
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Methods for Privacy Support in the Decentralized Environment.- Application of Bluetooth, Wi-Fi and Gps Technologies in the means of Contact Tracking.- Analysis and Research of Threat, Attacker and Security Models of Data Depersonalization in Decentralized Networks.- Cryptographic Transformations in a Decentralized Blockchain Environment.- Statistical and Signature Analysis Methods of Intrusion Detection.- Criteria and Indicators of Efficiency of Cryptographic Protection Mechanisms.- Methods of Evaluation and Comparative Research of Cryptographic Conversions.- Cryptographic Mechanisms that Ensure the Efficiency of SNARK-Systems.- Comparative Analysis of Consensus Algorithms that use a Directed Acyclic Graph Instead of a Blockchain, and Construction of Estimates of the SPECTRE Protocol Security to the Double Spend Attack.- Models and Methods of Secure Routing and Load Balancing in Infocommunication Networks.- The Methods of Data Comparison in Residue Numeral System.- Data Control in the System of Residual Classes.- Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks.

Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT`18), Vol.2

Автор: Med Salim Bouhlel; Stefano Rovetta
Название: Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT`18), Vol.2
ISBN: 3030210081 ISBN-13(EAN): 9783030210083
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This two-volume book presents an unusually diverse selection of research papers, covering all major topics in the fields of information and communication technologies and related sciences. It provides a wide-angle snapshot of current themes in information and power engineering, pursuing a cross-disciplinary approach to do so. The book gathers revised contributions that were presented at the 2018 International Conference: Sciences of Electronics, Technologies of Information and Telecommunication (SETIT'18), held on 20–22 December 2018 in Hammamet, Tunisia. This eighth installment of the event attracted a wealth of submissions, and the papers presented here were selected by a committee of experts and underwent additional, painstaking revision. Topics covered include: · Information Processing · Human-Machine Interaction · Computer Science · Telecommunications and Networks · Signal Processing · Electronics · Image and Video This broad-scoped approach is becoming increasingly popular in scientific publishing. Its aim is to encourage scholars and professionals to overcome disciplinary barriers, as demanded by current trends in the industry and in the consumer market, which are rapidly leading toward a convergence of data-driven applications, computation, telecommunication, and energy awareness. Given its coverage, the book will benefit graduate students, researchers and practitioners who need to keep up with the latest technological advances.

Information Security Technologies for Controlling Pandemics

Автор: Jahankhani Hamid, Kendzierskyj Stefan, Akhgar Babak
Название: Information Security Technologies for Controlling Pandemics
ISBN: 3030721191 ISBN-13(EAN): 9783030721190
Издательство: Springer
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data.


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