Christophoros Christophorou – författare

The Republic of Cyprus’ social and political culture is deeply partitocratic, with a close relationship between state apparatus and the parties that influence the government’s decisions. However, little is known about the social and political implications of the above traits, and even less about how parties influence and are influenced by society at large.The concept of linkage, which refers to the linking of citizens with government and the political process, is vital in the study of the electoral or ideological considerations of parties. Parties’ decisions regarding their organization and image correlates with the effort made to keep up with public opinion. Party-Society Relations in the Republic of Cyprus adds a new dimension to the study of linkage, considering the complexity of civil society as well as exploring the dynamics of political parties. Bringing together specialists from a range of disciplines, it examines the wider effects of partitocracy on democracy and uses it as a frame for exploring the construction, maintenance or deformation of links between social groups and parties. Through its analysis of both the partisan and societal aspects of party-social relations, it illuminates larger questions concerning the strategic complexity involved when politics and society interact.Approaching the Republic of Cyprus as a representative case study of partitocratic political culture, this book is a key resource for those interested in party and civil society politics, as well as Cypriot, Mediterranean and South-East European politics.

The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework. The book proposes a distributed AI approach to handle these complexities effectively.Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning aims to provide a comprehensive understanding of the proposed DAI framework, its architecture, implementation, and application in the context of D2D communication in 5G and beyond networks. It showcases how the framework can enhance decision-making, control, and communication performance while considering both static and dynamic network environments. The book delves into the advantages of D2D communication, highlighting how it transcends licensed frequency bands and bypasses the cellular network, leading to improved network metrics such as spectral efficiency, energy efficiency, data rates, and interference management. It concludes by emphasizing that the DAI framework can offer enhanced network control, reduced signaling overhead, and efficient decision-making while capitalizing on existing implementations to tackle various challenges across the 5G and 6G landscape.This book is intended for professionals that specialize in designing, implementing, and maintaining communication networks such as telecommunications/ communication engineers, wireless engineers. The book's emphasis on incorporating AI and ML techniques in the proposed framework also makes it of interest to computer and software engineers working in artificial intelligence and machine learning engineers.

The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework. The book proposes a distributed AI approach to handle these complexities effectively.Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning aims to provide a comprehensive understanding of the proposed DAI framework, its architecture, implementation, and application in the context of D2D communication in 5G and beyond networks. It showcases how the framework can enhance decision-making, control, and communication performance while considering both static and dynamic network environments. The book delves into the advantages of D2D communication, highlighting how it transcends licensed frequency bands and bypasses the cellular network, leading to improved network metrics such as spectral efficiency, energy efficiency, data rates, and interference management. It concludes by emphasizing that the DAI framework can offer enhanced network control, reduced signaling overhead, and efficient decision-making while capitalizing on existing implementations to tackle various challenges across the 5G and 6G landscape.This book is intended for professionals that specialize in designing, implementing, and maintaining communication networks such as telecommunications/ communication engineers, wireless engineers. The book's emphasis on incorporating AI and ML techniques in the proposed framework also makes it of interest to computer and software engineers working in artificial intelligence and machine learning engineers.