About the Book
Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities. Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.
About the Author :
João Rodrigues graduated in Electrical Engineering in 1993, he got his M.Sc. in Computer Systems Engineering in 1998 and Ph.D. Electronics and Computer Engineering in 2008 from University of the Algarve (UAlg), Portugal. He is Adjunct Professor at Instituto Superior de Engenharia, also in the UAlg, where he lectures Computer Science and Computer Vision since 1994. He is member of associative laboratory LARSyS (ISR-Lisbon), CIAC (UAlg) and the Associations APRP, IAPR, SUPERA, and ARTECH. He participated in more than 15 financed scientific projects, 4 of them as PI. He is co-author more than 190 scientific publications, including several books. His major research interests lie on computer vision, augmented reality, human-machine cooperation, human-computer interaction and augmented intelligence [https://bit.ly/369wlf2]. Pedro Cardoso holds a PhD in the field of Operational Research from the University of Seville (Spain), a Master in Computational Mathematics from the University of Minho (Portugal) and a Degree in Mathematics - Computer Science from the University of Coimbra (Portugal). He teaches Computer Science and Mathematics at University the Algarve (UAlg) and is member of LARSys/UAlg. He has high knowledge in the fields of databases, algorithms and data structures, machine learning, data science, and Operational Research. Over the past few years he edited 3 books with IGI, has been involved in more than 10 national and international scientific and development projects and is the co-author of more than 70 scientific publications. Jânio Monteiro graduated in Electrical and Computers Engineering in 1995 from the University of Porto, and later obtained a Master and PhD degrees respectively in 2003 and 2010, also in Electrical and Computer Engineering from Instituto Superior Técnico, Technical University of Lisbon. Since 2003 is a member INESC-ID in Lisbon, where he participated in several European R&TD projects funded by the Information Society Technologies Programme (IST), of the European Commission, namely: Olympic, My-e-Director and Saracen. As part of the Algarve University he has also participated in an international project called ENERGEIA and several national projects with regional companies. He is co-author of more than three dozen publications, including journal articles, papers in scientific conferences, several book chapters, deliverables of projects and national patents. His main areas of interest involve Communication Networks, Smart Grids, Wireless Sensor Networks, Human Machine Interfaces and Internet of Things. Célia M. Q. Ramos graduated in Computer Engineering from the University of Coimbra, obtained her Master in Electrical and Computers Engineering from the Higher Technical Institute, Lisbon University, and the PhD in Econometrics in the University of the Algarve (UALG), Faculty of Economics, Portugal. She is Adjunct Professor at School for Management, Hospitality and Tourism, also in the UALG, where she lectures computer science. Areas of research and special interest include conception and development of information systems, tourism information systems, big data, etourism, econometric modeling and panel-data models. Célia Ramos has published in the fields of information systems and tourism, namely, she has authored a book, book chapters, conference papers and journal articles. At the level of applied research, she has participated in several funded projects.
