Is the 308 a great all-rounder? Nigel Swan is testing out the new 308 SW to find out.
The project is based on a reflection on how educational spaces should be nowadays. From this starting point, we begin by creating shade - a roof supported by a flexible, light and open structure that allows for a dialogue between people, nature and architecture. The building adapts to the pre-existing conditions of the site and links the exterior and interior spaces by dissolving their boundaries.
by Xumao Li
The aim of this study is to reveal the spatial-temporal characteristics and influencing factors of the static and dynamic distribution of global cruise ships, against the backdrop of the COVID-19 pandemic, which has transformed the global cruise network from "lines" to "points". This study collected trajectory data for 292 cruise ships and data for 789 cruise ports worldwide from March 2020 to July 2021. Based on the relationship between port and navigation, port management rights research... Читать дальше...
by Mahan Agha Zahedi, Niloofar Gholamrezaei, Alex Doboli
Computational modeling of artwork meaning is complex and difficult. This is because art interpretation is multidimensional and highly subjective. This paper experimentally investigated the degree to which a state-of-the-art Deep Convolutional Neural Network (DCNN), a popular Machine Learning approach, can correctly distinguish modern conceptual art work into the galleries devised by art curators. Two hypotheses were proposed to state... Читать дальше...
by Mahir Afser Pavel, Rafiul Islam, Shoyeb Bin Babor, Riaz Mehadi, Riasat Khan
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by Suresh Rasappan, Sathish Kumar Kumaravel, Aceng Sambas, Issam A. R. Moghrabi, Ibrahim Mohammed Sulaiman, Basim A. Hassan
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by Jian-Ping Yang, Rachel Toughiri, Anshu P. Gounder, Dan Scheibe, Matt Petrus, Sarah J. Fink, Sebastien Vallee, Jon Kenniston, Nikolaos Papaioannou, Steve Langston, Narender R. Gavva, Shane R. Horman
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by Song Qian, Liwei Yang, Yan Xue, Ping Li
The objective of image fusion is to integrate complementary features from source images to better cater to the needs of human and machine vision. However, existing image fusion algorithms predominantly focus on enhancing the visual appeal of the fused image for human perception, often neglecting their impact on subsequent high-level visual tasks, particularly the processing of semantic information. Moreover, these fusion methods that incorporate... Читать дальше...
by Jiahui Liu, Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Unlike in the field of visual scene recognition, where tremendous advances have taken place due to the availability of very large datasets to train deep neural networks, inference from medical images is often hampered by the fact that only small amounts of data may be available. When working with very small dataset problems, of the order of a few hundred items of data, the power of deep learning may still be exploited by using a pre-trained... Читать дальше...
by Liudmila Khokhlova, Dimitrios Sokratis Komaris, Brendan O’Flynn, Salvatore Tedesco
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by Nattapol Aunsri, Prasara Jakkaew, Chanin Kuptametee
Non-linear and non-stationary signals are analyzed and processed in the time-frequency (TF) domain due to interpretation simplicity. Wigner-Ville distribution (WVD) delivers a very sharp resolution of non-stationary signals in the TF domain. However, cross-terms occur between true frequency modes due to their bilinear nature. Masked WVD reduces cross-terms by multiplying the time-frequency representation (TFR) obtained from the WVD with... Читать дальше...
by Anthony Broering Ferreira, Joandes Henrique Fonteque, Jéssica Aline Withoeft, Renata Assis Casagrande, Ubirajara Maciel da Costa, Frank Imkamp, Pauline Göller, Francesca Baggio, Jussi Hepojoki, Udo Hetzel, Anja Kipar
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by Jérôme Robitaille, Lisa-Elen Meyering, Sabine Gaudzinski-Windheuser, Paul Pettitt, Olaf Jöris, Robert Kentridge
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by Jewel L. Garcia, Yennifer A. Gaspar, Angelique Djekoundade, Mhicca Dalere, Asmaa A. Al-awadi, Marjolene Allossogbe, Thania C. P. Allossogbe, Itzel S. Aparicio, Hannah N. Buller, Hera Beatrice F. Cadelina, Isabella K. Camarillo, Kayla Case, Abigail E. Dean, Sara M. Dean, Jordyn F. DeJong, Elizabeth Delgado, Renske J. Dupar, Emma N. Ely, Mia C. Ewing, Delina N. Filli, Spencer E. Fleming, Mackenzie R. Garrett, Blair P. Graves, Marie M. Hafez, Weston P. Hanson, Alexander D. Heller, Anthony J. Hernandez, Elizabeth K. Читать дальше...
by Aza Fynley Kuijt, Cole Burton, Clayton T. Lamb
Berries are a staple of bear diets during late summer and fall in the southern Rocky Mountains, enabling bears to build up fat reserves and prepare to enter torpor during winter. In turn, bears can benefit fruiting shrubs through dispersal of their seeds. Bears are highly mobile species and seed passage through their guts (endozoochory) can influence seed germination in three ways: deinhibition (removal of germination inhibiting compounds)... Читать дальше...
by Luca Marinelli, Petra Lucht, Charalampos Saitis
Literature in music theory and psychology shows that, even in isolation, musical sounds can reliably encode gender-loaded messages. Musical material can be imbued with many ideological dimensions and gender is just one of them. Nonetheless, studies of the gendering of music within multimodal communicative events are sparse and lack an encompassing theoretical framework. The present study attempts to address this literature gap by employing... Читать дальше...
by Asma M. Ahmed, Eleanor Pullenayegum, Sarah D. McDonald, Marc Beltempo, Shahirose S. Premji, Jason D. Pole, Fabiana Bacchini, Prakesh S. Shah, Petros Pechlivanoglou
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by Tinggui Chen, Tiantian Wu, Jianjun Yang, Beijia Xu
Sudden social hot events spread rapidly in the Internet era, which can easily cause group behaviors. Therefore, studying the law of public opinion communication has important theoretical and practical significance for controlling public opinion. This paper constructs the DBUS (Divorced-Burning-Unburning-Stable) model according to the social combustion theory deduced from the analogy of natural combustion phenomena. This paper comprehensively... Читать дальше...
by Luigi Manuelli, Jorge Mondéjar Fernández, Kathleen Dollman, Kudakwashe Jakata, Lionel Cavin
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by Ingun Lund Witsø, Adelle Basson, Marina Aspholm, Yngvild Wasteson, Mette Myrmel
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by Adilson Vital Jr., Filipi Nascimento Silva, Diego Raphael Amancio
Random walks find extensive applications across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random walks, the precise impact of distinct biases on embedding generation from sequence data and their subsequent effects on link prediction remain elusive. We conduct a comparative analysis of several random walk strategies, including the true self-avoiding... Читать дальше...
by Wu Jiaming, Guo Xin, Du Jiajia, Peng Junjie, Hu Xue, Li Yunchuan, Wu Yuanfang
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by Goran Knežević, Marija B. Petrović, Milica Ninković, Zorana Zupan, Petar Lukić, Danka Purić, Marko Živanović, Predrag Teovanović, Sanda Stanković, Iris Žeželj
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by Xavier Scruggs, Shannon Dier, Caleb A. Schlaupitz, Katherine A. Karayianis, Angela F. Lukowski, Jennifer G. Bohanek
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