The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems. In general, the usefulness of the recommendation is measured based on its accuracy [3]. Although a high - commendation accuracy can indicate a user's favorite items, there is a fault in that - ly similar items will be recommended. Several studies have reported that users might not be satisfied with a recommendation even though it exhibits high recommendation accuracy [4]. For this reason, we consider that a recommendation having only accuracy is - satisfactory. The serendipity of a recommendation is an important element when c- sidering a user's long-term profits. A recommendation that brings serendipity to users would solve the problem of “user weariness” and would lead to exploitation of users' tastes. The viewpoint of the diversity of the recommendation as well as its accuracy should be required for future recommender systems.
The current volume of global agende of social sciences analyzes the aspect of globalization within economics, international relations, public administration, public finance and sociology. With its global implications, this book will be valuable for students and scholars from all disciplines who are concerned with any dimension of globalization. This volume of “Global Agende in Social Sciences” series with its broad coverage of political, economic, international, cultural, social and individual dimensions, provides readers with a comprehensive point of view of globalization. Also, this book provides relevant theorotical papers and the latest empirical research findings and applied studies in social sciences. It is for professionals who want to improve their understanding of the globalization in social sciences such as; economics, politics, interanational relations, public administration etc.
I3E 2009 was held in Nancy, France, during September 23–25, hosted by Nancy University and INRIA Grand-Est at LORIA. The conference provided scientists andpractitionersofacademia,industryandgovernmentwithaforumwherethey presented their latest ?ndings concerning application of e-business, e-services and e-society, and the underlying technology to support these applications. The 9th IFIP Conference on e-Business, e-Services and e-Society, sponsored by IFIP WG 6.1. of Technical Committees TC6 in cooperation with TC11, and TC8 represents the continuation of previous events held in Zurich (Switzerland) in 2001, Lisbon (Portugal) in 2002, Sao Paulo (Brazil) in 2003, Toulouse (France) in 2004, Poznan (Poland) in 2005, Turku (Finland) in 2006, Wuhan (China) in 2007 and Tokyo (Japan) in 2008. The call for papers attracted papers from 31 countries from the ?ve con- nents. As a result, the I3E 2009 programo?ered 12 sessions of full-paper pres- tations. The 31 selected papers cover a wide and important variety of issues in e-Business,e-servicesande-society,including security,trust,andprivacy,ethical and societal issues, business organization, provision of services as software and software as services, and others. Extended versions of selected papers submitted to I3E 2009 will be published in the International Journal of e-Adoption and in AIS Transactions on Enterprise Systems. In addition, a 500-euros prize was awarded to the authors of the best paper selected by the Program Comm- tee. We thank all authors who submitted their papers, the Program Committee members and external reviewers for their excellent work.
Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. - Offers perspectives on the design, development and commissioning of intelligent applications - Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 - Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques
Multi agent systems involve a team of agents working together socially to accomplish a task. An agent can be social in many ways. One is when an agent helps others in solving complex problems. The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process. This book presents a combination of different research issues which are pursued by researchers in the domain of multi agent systems.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
The book is a collection of studies dedicated to different perspectives of three dimensions or pillars of the sustainability of supply chain and supply chain management - economic, environmental, and social - and other aspects related to performance evaluation, optimization, and modelling of and for sustainable supply chain management, and thus presents another valuable contribution to sustainable development and sustainable way of life.
