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Róbert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó and András Hajdu
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This...
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Marcin Aftowicz, Ievgen Kabin, Zoya Dyka and Peter Langendörfer
While IoT technology makes industries, cities, and homes smarter, it also opens the door to security risks. With the right equipment and physical access to the devices, the attacker can leverage side-channel information, like timing, power consumption, o...
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Dominik Warch, Patrick Stellbauer and Pascal Neis
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho...
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Athanasios Bakalis, Triantafyllos Makarios and Vassilis Lekidis
The seismic damage in reinforced concrete bridges is identified in this study using the ?M and P? hybrid technique initially developed for planar frames, where M signifies ?Monitoring? and P denotes ?Pushover analysis?. The proposed methodology involves ...
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Peng Li, Minghui Liu, Jiaxing Zhou, Li Chen and Meifeng Cai
To investigate the adsorption performance of different substrates for ammonia nitrogen in wastewater, adsorption experiments are conducted on four substrates, namely, zeolite, quartz sand, volcanic rock, and biological ceramsite, and the experimental dat...
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