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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Heiko Oppel and Michael Munz
Human monitoring systems are already utilized in various fields like assisted living, healthcare or sport and fitness. They are able to support in everyday life or act as a pre-warning system. We developed a system to monitor the ascent of a sport climbe...
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Asif Hussian, Abdul Mateen, Farhan Amin, Muhammad Ali Abid and Saeed Ullah
In the current era of ubiquitous computing and mobile technology, almost all human beings use various self-monitoring applications. Mobile applications could be the best health assistant for safety and adopting a healthy lifestyle. Therefore, persuasive ...
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Vijayendra D. Avina, Md Amiruzzaman, Stefanie Amiruzzaman, Linh B. Ngo and M. Ali Akber Dewan
In this paper, we propose a framework to convert American Sign Language (ASL) to English and English to ASL. Within this framework, we use a deep learning model along with the rolling average prediction that captures image frames from videos and classifi...
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Roberta Avanzato, Francesco Beritelli, Alfio Lombardo and Carmelo Ricci
Today?s healthcare facilities require new digital tools to cope with the rapidly increasing demand for technology that can support healthcare operators. The advancement of technology is leading to the pervasive use of IoT devices in daily life, capable o...
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Gyeong Joong Lee, Jang-Pyo Hong, Kwang Keun Lee and Hee Jin Kang
SOLAS (Safety of Life at Sea), which was first enacted in 1914 as a result of the Titanic disaster, presents mandatory requirements for ship safety, such as the adoption of watertight bulkheads. However, ship accidents continue to occur despite the devel...
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Simone Castelli and Andrea Belleri
In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously inc...
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Isam Mashhour Al Jawarneh, Luca Foschini and Paolo Bellavista
Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data. particularly, future urban planning requires restric...
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Khrystyna Zub, Pavlo Zhezhnych and Christine Strauss
In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions? (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future students? li...
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Antti Valkonen and Branko Glisic
A key goal of structural health monitoring (SHM) systems applied to infrastructure is to improve asset management. SHM systems yield benefits by providing information that allows improved asset management decisions. Often, improvement is measured in mone...
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