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Daniela Postolache (Males)
was to determine how intelligent technologies can support accounting practice. Our research allowed for establishment of accounting information intelligent systems typology and for placement of these solutions in the sphere of artificial intelligence app...
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Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes
In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide ...
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Ricardo P. Arciniega-Rocha, Vanessa C. Erazo-Chamorro, Paúl D. Rosero-Montalvo and Gyula Szabó
An erroneous squat movement might cause different injuries in amateur athletes who are not experts in workout exercises. Even when personal trainers watch out for the athletes? workout performance, light variations in ankles, knees, and lower back moveme...
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Hanane Allioui,Mohamed Sadgal,Aziz El Fazziki
Pág. 143 - 155
In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System. The main contribution of this work is to highlight the importa...
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Olha Salnikova,Olga Cherviakova,Oleg Sova,Ruslan Zhyvotovskyi,Serhii Petruk,Taras Hurskyi,Andrii Shyshatskyi,Andrey Nos,Yevhenii Neroznak,Ihor Proshchyn
Pág. 35 - 44
Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a difficu...
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Knut Jetlund, Erling Onstein and Lizhen Huang
This study aims to improve interoperability between Geographic Information Systems (GIS) and geospatial databases for Intelligent Transport Systems (ITS). Road authorities maintain authoritative information for legal and safe navigation in GIS databases....
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Sergei Korjagin, Pavel Klachek
Pág. 326 - 333
In recent years rapid development of unmanned vehicles enables to set a task of creating prospective intelligent transportation systems (ITS) based on unconventional, hybrid approaches enabling to combine macro traffic control (T) at road and transport c...
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Gennaro Nicola Bifulco, Francesco Galante, Luigi Pariota and Maria Russo Spena
Reduction of the environmental impact of cars represents one of the biggest transport industry challenges. Beyond more efficient engines, a promising approach is to use eco-driving technologies that help drivers achieve lower fuel consumption and emissio...
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Kyubong Yeon, Duho Lee and Byeongwoo Kim
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Kyubong Yeon, Duho Lee and Byeongwoo Kim
This paper describes the design of a high-efficiency vehicular roof-mounted antenna for wireless access for vehicular environment (WAVE) communication systems used for ubiquitous intelligent systems. The main objective of the ubiquitous intelligent syste...
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Carolina GONZÁLEZ,Juan Carlos BURGUILLO,Martín LLAMAS,Rosalía LAZA
Pág. 41 - 54
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Anton Ivaschenko, Arkadiy Krivosheev, Anastasia Stolbova and Oleg Golovnin
Document workflow systems and enterprise content management systems that implement intelligent technologies for text understanding.
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Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban...
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Xiaonan Wang, Yang Guo and Yuan Gao
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intel...
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Claudia Di Napoli, Giovanni Paragliola, Patrizia Ribino and Luca Serino
The increasing popularity of cruise tourism has led to the need for effective planning and management strategies to enhance the city tour experience for cruise passengers. This paper presents a deep reinforcement learning (DRL)-based planner specifically...
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Yufeng Li, Mengxiao Liu, Chenhong Cao and Jiangtao Li
Advanced Driver Assistance Systems (ADASs) are crucial components of intelligent vehicles, equipped with a vast code base. To enhance the security of ADASs, it is essential to mine their vulnerabilities and corresponding exploitation methods. However, mi...
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Bashar Igried, Shadi AlZu?bi, Darah Aqel, Ala Mughaid, Iyad Ghaith and Laith Abualigah
Plant diseases represent one of the critical issues which lead to a major decrease in the quantity and quality of crops. Therefore, the early detection of plant diseases can avoid any losses or damage to these crops. This paper presents an image processi...
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Ali Pashazadeh, Giovanni Nardini and Giovanni Stea
In recent years, the need for computation-intensive applications in mobile networks requiring more storage, powerful processors, and real-time responses has risen substantially. Vehicular networks play an important role in this ecosystem, as they must su...
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Herbert Palm and Lorin Arndt
The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite increasing in c...
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