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.

One of the best known general techniques for developing of the algorithms is the Backtracking method. It seeks to eliminate the generation of all possibilities in order to get the result. The Backtracking method can be applied to those problems for which the solution can be represented as a vector whose elements take values in some finite sets and who meet certain internal conditions. In the Backtracking method, the vector elements are expressed one at a time, assigning a value to a component will be done only after values have been assigned to all its previous components, and no incompatibilities exist between these values. Classical problems solved by this method are: queens' problem, Cartesian product generation, the generation of combinations, the 0-1 knapsack problem. The book is structured into 7 chapters and provides the solutions to a number of 19 classical problems by using versions of the backtracking algorithm. Most of the paragraphs are followed by a section with solved exercises and problems.

Our research aims, first of all, at reviewing the mathematical methods and computer science tools used by specialists in political science. The mathematical models and computerized systems are useful both to the political science researcher and the politician. Various problems of political science can be solved by making use of different mathematical, linguistic or computerized models. Secondly, our research aims at designing new and original methodological tools to facilitate a thorough and impartial analysis of any electoral campaign for local elections. We introduce the concepts of accord between political discourses, from three perspectives: themes, solutions, and political values. Also, we use graph theory for analyzing political discourses. Some problems (like minimal spanning tree or Hamiltonian cycle) will help us to analyze the political discourse. Also, graph theory can be a useful mathematical tool in analyzing the electoral platforms or political discourses, highlighting nuclei of interest and links between topics.

In the context of our research, the following questions arise: Can documentation services be automatized within online electronic resources? Can searches using search engines be automatized? Can online linguistic resources be automatically used? To what extent can distributed work, distributed team research be automatized? or How can we organize agents within a "virtual teacher"? How can we endow a "virtual teacher" with feelings or temperament? How can we extract pragmatic information from different texts? How can we more effectively represent certain notions from a given field? This book will answer such questions by creating a theoretical tool and implementing it as architectures of multi-agent systems.

Ce livre presente les opportunites devant lesquelles se trouve un manager en vue de l'optimisation du processus de production. Elles sont envisagees de la perspective economique, mathematique et algorithmique des problemes de programmation lineaire et de la theorie des graphes, de la programmation dynamique et de l'ordonnancement d'atelier. Les algorithmes decrits ont ete implementes en langage BASIC. Le livre s'adresse aux managers et aux etudiants des facultes d'economie.

In this book it is presented the architecture of a intelligent system for teaching and checking of the acquisition of certain accounting competences. After presenting several didactic aspects of accounting education and the way in which computer assisted training can be used in learning accounting, we have reviewed the main concepts related to intelligent agents, pedagogic agents and multi-agent systems. The agents are grouped into subsystems. Each subsystem deals with one learning unit. These communicate among themselves in order to achieve the common purpose: the student's acquisition of accounting competences. Each subsystem is, in its turn, a multi-agent system made up of atomic agents with clearly specified didactic tasks: teaching, testing, assessment etc.

Este libro esta dirigido a los programadores que tienen conocimientos minimos de programacion orientada a objetos en Visual Basic y Delphi. Sin embargo, incluso los programadores acostumbrados con los entornos de programacion mas simples pueden aprender facilmente la programacion visual en Delphi o Visual Basic, a partir de ejemplos como los de este libro. Los ejemplos de aplicaciones presentadas en este libro son diferentes por las tematicas tratadas. Hemos intentado cubrir un numero suficiente de situaciones con que cualquier programador se encontraria cuando desearia desarrollar un programa mas complejo en Visual Basic o Delphi. Con la creencia de que cualquier persona que va a estudiar atentamente las aplicaciones presentadas en este libro hara una pasion de la programacion visual, deseo a todos una lectura agradable y una compilacion sin errores "