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Rafal Doniec, Eva Odima Berepiki, Natalia Piaseczna, Szymon Siecinski, Artur Piet, Muhammad Tausif Irshad, Ewaryst Tkacz, Marcin Grzegorzek and Wojciech Glinkowski
Cardiovascular diseases (CVDs) are chronic diseases associated with a high risk of mortality and morbidity. Early detection of CVD is crucial to initiating timely interventions, such as appropriate counseling and medication, which can effectively manage ...
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Julia Mayer, Martin Memmel, Johannes Ruf, Dhruv Patel, Lena Hoff and Sascha Henninger
Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise ...
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Edwin Peralta-Garcia, Juan Quevedo-Monsalbe, Victor Tuesta-Monteza and Juan Arcila-Diaz
Structured Query Language (SQL) injections pose a constant threat to web services, highlighting the need for efficient detection to address this vulnerability. This study compares machine learning algorithms for detecting SQL injections in web microservi...
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Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo...
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Beata Baziak, Marek Bodziony and Robert Szczepanek
Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat...
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Robert Klos and Nade?da Langová
The reliability of furniture constitutes one of the most important features taken into consideration when buying furniture. However, to evaluate furniture reliability, furniture manufacturers often rely on their own experiences and common patterns withou...
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Konstantinos Gratsos , Stefanos Ougiaroglou and Dionisis Margaris
Partition-based clustering is widely applied over diverse domains. Researchers and practitioners from various scientific disciplines engage with partition-based algorithms relying on specialized software or programming libraries. Addressing the need to b...
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Zoltán Szabó and Vilmos Bilicki
Due to the proliferation of large language models (LLMs) and their widespread use in applications such as ChatGPT, there has been a significant increase in interest in AI over the past year. Multiple researchers have raised the question: how will AI be a...
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Fahad M. Alotaibi and Vassilios G. Vassilakis
Web attacks pose a significant threat to enterprises, as attackers often target web applications first. Various solutions have been proposed to mitigate and reduce the severity of these threats, such as web application firewalls (WAFs). On the other hand...
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Naythan Villafuerte, Santiago Manzano, Paulina Ayala and Marcelo V. García
Due to the similarities in symptomatology between COVID-19 and other respiratory infections, diagnosis of these diseases can be complicated. To address this issue, a web application was developed that employs a chatbot and artificial intelligence to dete...
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