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Mikhail Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii Valuev, Arutyun Avetisyan and Lana A. Gagloeva
Homomorphic encryption (HE) is a promising solution for handling sensitive data in semi-trusted third-party computing environments, as it enables processing of encrypted data. However, applying sophisticated techniques such as machine learning, statistic...
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Guoray Cai and Yimu Pan
Room usage semantics in models of large indoor environments such as public buildings and business complex are critical in many practical applications, such as health and safety regulations, compliance, and emergency response. Existing models such as Indo...
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Youcef Boussaa, Ambrose Dodoo, Truong Nguyen and Katarina Rupar-Gadd
A major challenge in building energy renovation is to cost effectively achieve notable energy savings. This paper investigates cost-effective passive energy-efficiency measures for thermal envelope retrofit of a typical Swedish multi-apartment building f...
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Nirmalya Thakur, Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi and Changhee Han
Exoskeletons have emerged as a vital technology in the last decade and a half, with diverse use cases in different domains. Even though several works related to the analysis of Tweets about emerging technologies exist, none of those works have focused on...
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Yanwei Sun, Shirin Malihi, Hao Li and Mehdi Maboudi
Windows, as key components of building facades, have received increasing attention in facade parsing. Convolutional neural networks have shown promising results in window extraction. Most existing methods segment a facade into semantic categories and sub...
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