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Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev and Alexander Panchenko
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
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Hamed Taherdoost
Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of the most popular technologies with a wide range of possibilities. Blockchain may be improved and made more effective by using ML. Even though blockchain technolog...
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Evangelos Bellos, Panagiotis Lykas and Christos Tzivanidis
The exploitation of renewable energy sources in the building sector is a challenging aspect of achieving sustainability. The incorporation of a proper storage unit is a vital issue for managing properly renewable electricity production and so to avoid th...
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Andrea Miano, Fabio Di Carlo, Annalisa Mele, Ilaria Giannetti, Nicoletta Nappo, Matteo Rompato, Pasquale Striano, Manuela Bonano, Francesca Bozzano, Riccardo Lanari, Paolo Mazzanti, Alberto Meda, Andrea Prota and Gabriele Scarascia Mugnozza
Structural health monitoring is a crucial issue in areas with different hazard sources, such as Italy. Among non-invasive monitoring techniques, remote sensing provides useful information in supporting the management process and safety evaluations, reduc...
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Qiang Huang, Shuai Fu, Huijie Zhu, Huaihui Song, Zhe Yang, Xiuji Zhang, Junhong Bie, Jianhong Lu, Mingyan Shi and Bo Liu
Vanadium (V(V)) removal from simulation water (SW) was successfully accomplished using nanoscale zero-valent iron that was immobilized by activated carbon (NZVI/AC) which was used as an adsorbent. We investigated the effects of different parameters on V(...
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