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Mahmoud Elkhodr, Samiya Khan and Ergun Gide
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring dat...
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Maria P. C. Volpi, Jean C. G. Silva, Andreas Hornung and Miloud Ouadi
This scientific paper provides an overview of the current state of pyrolysis in Europe, with a focus on mapping the key research areas and technologies employed. This research relied on search equations that centered on the utilization of biomass and pla...
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Marbrisa N. R. das Virgens, Patricia L. Brito, Ricardo Lustosa, Julio Pedrassoli, Philipp Ulbrich, João Porto de Albuquerque, Marcos Rodrigo Ferreira, Fernando G. Severo, Alessandra da S. Figueiredo, Marcel Fantin, Hussein Khalil and Federico Costa
Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This s...
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Jin Su Kim, Cheol Ho Song, Jae Myung Kim, Jimin Lee, Yeong-Hyeon Byeon, Jaehyo Jung, Hyun-Sik Choi, Keun-Chang Kwak, Youn Tae Kim, EunSang Bak and Sungbum Pan
Current advancements in biosignal-based user recognition technology are paving the way for a next-generation solution that addresses the limitations of face- and fingerprint-based user recognition methods. However, existing biosignal benchmark databases ...
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Fahim Sufi
GPT (Generative Pre-trained Transformer) represents advanced language models that have significantly reshaped the academic writing landscape. These sophisticated language models offer invaluable support throughout all phases of research work, facilitatin...
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Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler and Roman Kern
Superficially, read and spontaneous speech?the two main kinds of training data for automatic speech recognition?appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This...
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Hadis Mohajerani, Mathias Jackel, Zoé Salm, Tobias Schütz and Markus C. Casper
The aim of this study was to simulate dominant runoff generation processes (DRPs) in a mesoscale catchment in southwestern Germany with the physically-based distributed hydrological model WaSiM-ETH and to compare the resulting DRP patterns with a data-mi...
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Pascal Harth, Orlando Jähde, Sophia Schneider, Nils Horn and Rüdiger Buchkremer
In this research, we present an algorithm that leverages language-transformer technologies to automate the generation of product requirements, utilizing E-Shop consumer reviews as a data source. Our methodology combines classical natural language process...
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Evgeny Abakumov, Aleksei Zverev, Evgeny Andronov and Timur Nizamutdinov
Technogenic processes and agrodevelopment of the soil cover lead to significant transformations of soil chemical and biological properties. New methods of soil microbiology, including next-generation sequencing, allows us to investigate soil microbial co...
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Jorge Bautista-Hernández and María Ángeles Martín-Prats
Cybersecurity plays a relevant role in the new digital age within the aerospace industry. Predictive algorithms are necessary to interconnect complex systems within the cyberspace. In this context, where security protocols do not apply, challenges to mai...
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