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Makrina Viola Kosti, Maurice Benayoun, Nefeli Georgakopoulou, Sotiris Diplaris, Theodora Pistola, Vasileios-Rafail Xefteris, Athina Tsanousa, Kalliopi Valsamidou, Panagiota Koulali, Yash Shekhawat, Piera Sciama, Ilias Kalisperakis, Stefanos Vrochidis and Ioannis Kompatsiaris
Demographic change confronts us with an ever-increasing number of elderly people who face isolation and socialization issues. Background: The main challenge of this study is to inject emotional and aesthetic aspects into the design process of a virtual r...
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Leonardo Seabra Furtado, Raimundo Vitor Santos Pereira and Everaldo Barreiros de Souza
This work contributes to the studies on landscape mapping induced by human pressure directly related to the urbanization process, whose approach is based on the concept of hemeroby adapted to the metropolitan area of Belém in the eastern Amazon. The mapp...
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Lan Zhang, Guangxia Wang, Xiong You, Zhiyong Liu, Lin Ma, Jiangpeng Tian and Mingzhan Su
The cyberspace map, as one of the important tools for describing cyberspace, provides a visual representation of the dynamic and elusive nature of cyberspace. It has become a research hotspot in multiple disciplinary fields. Compared with traditional map...
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Zhehu Yuan, Yinqi Sun and Dennis Shasha
Database and data structure research can improve machine learning performance in many ways. One way is to design better algorithms on data structures. This paper combines the use of incremental computation as well as sequential and probabilistic filterin...
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Kheir Al-Kodmany
The greenery-covered tall building, an innovative building typology that substantially integrates vegetation into the design, promises to transform urban landscapes into more sustainable and livable spaces. This paper explores the concept of greenery-cov...
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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Jianjun Ni, Li Wang, Xiaotian Wang and Guangyi Tang
The visual simultaneous localization and mapping (SLAM) method under dynamic environments is a hot and challenging issue in the robotic field. The oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one of the most effective methods. However, the tra...
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Mina Tadros, Manuel Ventura and C. Guedes Soares
This paper presents a review of the different methods and techniques used to optimize ship hulls over the last six years (2017?2022). This review shows the different percentages of reduction in ship resistance, and thus in the fuel consumption, to improv...
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Kyriakos Apostolidis, Christos Kokkotis, Evangelos Karakasis, Evangeli Karampina, Serafeim Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias and Nikolaos Aggelousis
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence (AI) poses a formidable challenge, especially amidst constrained partici...
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Xiaoping Huang, Yujian Zhou and Yajun Du
In recent years, there has been rapid development in machine learning for solving artificial intelligence tasks in various fields, including translation, speech, and image processing. These AI tasks are often interconnected rather than independent. One s...
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