In today s businesses and society, social media continues to play a vital role in the transformation of communication into an interactive dialogue. The success of social media has encouraged the integration of these aspects in higher education teaching practices. Social Media in Higher Education: Teaching in Web 2.0 provides research on the pedagogical challenges faced in recent years in order to improve the understanding of social media in the educational systems. It will highlight the levels of education ranging from learning centered on the student to the collaboration between academic networks and organizations. This reference source is essential for practitioners, researchers, and students interested in gaining insight into educational institutions as well as academic communities and environments.

As web applications play a vital role in our society, social media has emerged as an important tool in the creation and exchange of user-generated content and social interaction. The benefits of these services have entered in the educational areas to become new means by which scholars communicate, collaborate, and teach. Social Media and the New Academic Environment: Pedagogical Challenges provides relevant theoretical frameworks and the latest research on social media and its challenges in the educational context. This book is essential for professionals aiming to improve their understanding of social media at different levels of education, as well as researchers in the fields of e-learning, educational science, information and communication sciences, and much more.

This volume sets out to analyse the relation between social media and politics by investigating the power of the internet and more specifically social media, in the political and social discourse. The volume collects original research on the use of social media in political campaigns, electoral marketing, riots and social revolutions, presenting a range of case studies from across the world as well as theoretical and methodological contributions. Examples that explore the use ofsocial media in electoral campaigns include, for instance, studies on the use of Face book in the 2012 US presidential campaign and in the 2011 Turkish general elections. The final section of the book debates the usage of Twitter and other Web 2.0 tools in mobilizing people for riots and revolutions, presenting and analysing recent events in Istanbul and Egypt, among others."

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today's problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today's problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.

This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.