Combating Fake News With Computational Intelligence Techniques
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Combating Fake News with Computational Intelligence Techniques by Mohamed Lahby,Al-Sakib Khan Pathan,Yassine Maleh,Wael Mohamed Shaher Yafooz Pdf
This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
Kids Cybersecurity Using Computational Intelligence Techniques by Wael M. S. Yafooz,Hussain Al-Aqrabi,Arafat Al-Dhaqm,Abdelhamid Emara Pdf
This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid’s textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid’s exposure to harmful content. This book is beneficial to postgraduate students and researchers' concerns on recent methods and approaches to kids' cybersecurity.
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.
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).
Conceptual Modeling by Jolita Ralyté,Sharma Chakravarthy,Mukesh Mohania,Manfred A. Jeusfeld,Kamalakar Karlapalem Pdf
This book constitutes the refereed proceedings of the 41st International Conference on Conceptual Modeling, ER 2022, held in Hyderabad, India, in October 2022. The 19 full and 11 short papers were carefully reviewed and selected from 82 submissions. The papers are organzed in the following topical sections: foundations of conceptual modeling; ontologies and their applications; applications of conceptual modeling; data modeling and analysis; business process; quality and performance; security, privacy and risk management; goals and requirements.
Intelligent Systems and Sustainable Computational Models by Rajganesh Nagarajan,Senthil Kumar Narayanasamy,Ramkumar Thirunavukarasu,Pethuru Raj Pdf
The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as: Intelligent and adaptive computing for sustainable energy, water, and transportation networks Blockchain for decentralized systems for sustainable applications, systems, and infrastructure IoT for sustainable critical infrastructure Explainable AI (XAI) and decision-making models for computational sustainability Sustainable development using edge computing, fog computing and cloud computing Cognitive intelligent systems for e-learning Artificial Intelligence and machine learning for large scale data Green computing and cyber physical systems Real-time applications in healthcare, agriculture, smart cities, and smart governance. By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.
Proceedings of Fourth International Conference on Computer and Communication Technologies by K. Ashoka Reddy,B. Rama Devi,Boby George,K. Srujan Raju,Mathini Sellathurai Pdf
The book is a compilation of high-quality scientific papers presented at the 4th International Conference on Computer & Communication Technologies (IC3T 2022). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, and web intelligence.
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.
Data Science and Computational Intelligence by K. R. Venugopal,P. Deepa Shenoy,Rajkumar Buyya,L. M. Patnaik,Sitharama S. Iyengar Pdf
This book constitutes revised and selected papers from the Sixteenth International Conference on Information Processing, ICInPro 2021, held in Bangaluru, India in October 2021. The 33 full and 9 short papers presented in this volume were carefully reviewed and selected from a total of 177 submissions. The papers are organized in the following thematic blocks: Computing & Network Security; Data Science; Intelligence & IoT.
Cyberspace, Cyberterrorism and the International Security in the Fourth Industrial Revolution by Reza Montasari Pdf
This book represents an interdisciplinary academic endeavour intended to provide readers with a comprehensive, balanced, and nuanced examination of critical issues at the intersection of cyberspace, cyberterrorism, and national and international security. It draws insights from a range of diverse fields, including Computer Science, Social Science, Political Science, International Relations, Criminology, and Law. Furthermore, the book investigates the field of Artificial Intelligence (AI) and related technologies, exploring their dual role in this dynamic landscape of contemporary cyberthreats, with both constructive and malicious implications. The book comprises four distinct themes, with each theme represented by a dedicated Part. Within this organisational framework, each overarching theme is systematically explored through a series of chapters, providing readers with a clear and thematic roadmap for their journey through the content. Part I, Understanding Terrorism and Counter-Terrorism Strategies, of the book explores complexities surrounding contemporary global security challenges. It serves as the foundational segment of the book, consisting of three chapters that critically analyse various dimensions of terrorism and the strategies implemented to combat it. Part II, Cyberterrorism Landscape, of the book offers an in-depth assessment of the current cyberterrorism landscape. This section comprises two critical chapters, each contributing to a comprehensive understanding of the contemporary threats posed by cyberterrorism and their implications for national security. Part III, Countering Cyberterrorism with Technology, of the book forms the core of the book’s exploration into leveraging technology to mitigate the threats of cyberterrorism. This section includes four critical chapters, collectively providing an in-depth understanding of the intersection between technology and counterterrorism strategies. Part IV, Artificial Intelligence and National and International Security, of the book delves into the complex relationship between AI technology and the broader security landscape. Comprising three pivotal chapters, this section provides a detailed understanding of AI’s transformative role in shaping the future of national and international security. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. This comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. /divThis comprehensive resource serves as a valuable reference for law enforcement, policymakers, cybersecurity experts, researchers, academics, and technology enthusiasts interested in counter-terrorism efforts. By exploring the intricate landscape of cyberspace, this book equips readers with knowledge essential to addressing the evolving challenges posed by cyber terrorism. /div
Detecting Fake News on Social Media by Kai Shu,Huan Liu Pdf
This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Author : World Health Organization Publisher : World Health Organization Page : 64 pages File Size : 54,8 Mb Release : 2022-08-09 Category : Medical ISBN : 9789240055094
International Conference on Advanced Intelligent Systems for Sustainable Development by Janusz Kacprzyk,Mostafa Ezziyyani,Valentina Emilia Balas Pdf
This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
Emerging Technologies and Security in Cloud Computing by Lakshmi, D.,Tyagi, Amit Kumar Pdf
In today's digital age, the exponential growth of cloud computing services has brought significant opportunities for businesses and individuals alike. However, this surge in cloud adoption has also ushered in a host of critical concerns, with the paramount issues being data privacy and security. The goal of protecting sensitive information from cyber threats and ensuring confidentiality has become increasingly challenging for organizations across industries. Emerging Technologies and Security in Cloud Computing is a comprehensive guide designed to tackle these pressing concerns head-on. This authoritative book provides a robust framework for understanding and addressing the multifaceted issues surrounding data privacy and security in the cloud. It serves as a beacon of knowledge for academic scholars, researchers, and IT professionals seeking practical solutions to safeguard sensitive data.