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pro vyhledávání: '"Boden, A"'
The subject of 3D VR learning environments is a fascinating enhancement to the learning strategies of educational institutions. As large improvements in device technology and computer power have boosted the immersive experience in the last decade eno
Externí odkaz:
https://htwk-leipzig.qucosa.de/id/qucosa%3A83959
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Within the Institute of Production of the University of Applied Science Cologne, TH Köln, the logistics IT group has initiated a new project for the 3D Virtual Reality digitization of logistics and manufacturing processes. The 3D Virtual Reality Ser
Externí odkaz:
https://htwk-leipzig.qucosa.de/id/qucosa%3A77624
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Customers' reviews and feedback play crucial role on electronic commerce~(E-commerce) platforms like Amazon, Zalando, and eBay in influencing other customers' purchasing decisions. However, there is a prevailing concern that sellers often post fake o
Externí odkaz:
http://arxiv.org/abs/2407.21056
Autor:
Torres, Guillermo, Schaefer, Gail H., Stefanik, Robert P., Latham, David W., Boden, Andrew F., Anugu, Narsireddy, Jones, Jeremy W., Klement, Robert, Kraus, Stefan, Lanthermann, Cyprien, Monnier, John D.
We report long baseline interferometric observations with the CHARA Array that resolve six previously known double-lined spectroscopic binary systems in the Hyades cluster, with orbital periods ranging from 3 to 358 days: HD 27483, HD 283882, HD 2687
Externí odkaz:
http://arxiv.org/abs/2406.01674
Publikováno v:
Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2156. Springer, Cham
Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption. However, the adoption of artificial intelligence (AI)-enabled decision-making models in smart home sy
Externí odkaz:
http://arxiv.org/abs/2404.16074
Autor:
Yousuf, Osama, Hoskins, Brian, Ramu, Karthick, Fream, Mitchell, Borders, William A., Madhavan, Advait, Daniels, Matthew W., Dienstfrey, Andrew, McClelland, Jabez J., Lueker-Boden, Martin, Adam, Gina C.
Artificial neural networks have advanced due to scaling dimensions, but conventional computing faces inefficiency due to the von Neumann bottleneck. In-memory computation architectures, like memristors, offer promise but face challenges due to hardwa
Externí odkaz:
http://arxiv.org/abs/2404.15621
Autor:
Borders, William A., Madhavan, Advait, Daniels, Matthew W., Georgiou, Vasileia, Lueker-Boden, Martin, Santos, Tiffany S., Braganca, Patrick M., Stiles, Mark D., McClelland, Jabez J., Hoskins, Brian D.
Publikováno v:
Phys. Rev. Applied 22, 014057 (2024)
The increasing scale of neural networks needed to support more complex applications has led to an increasing requirement for area- and energy-efficient hardware. One route to meeting the budget for these applications is to circumvent the von Neumann
Externí odkaz:
http://arxiv.org/abs/2312.06446
Publikováno v:
Explainable Artificial Intelligence. xAI 2023. Communications in Computer and Information Science, vol 1902. Springer, Cham
Recent technological advancements have led to a large number of patents in a diverse range of domains, making it challenging for human experts to analyze and manage. State-of-the-art methods for multi-label patent classification rely on deep neural n
Externí odkaz:
http://arxiv.org/abs/2310.20478
Autor:
Blakesley, James C., Bonilla, Ruy S., Freitag, Marina, Ganose, Alex M., Gasparini, Nicola, Kaienburg, Pascal, Koutsourakis, George, Major, Jonathan D., Nelson, Jenny, Noel, Nakita K., Roose, Bart, Yun, Jae Sung, Aliwell, Simon, Altermatt, Pietro P., Ameri, Tayebeh, Andrei, Virgil, Armin, Ardalan, Bagnis, Diego, Baker, Jenny, Beath, Hamish, Bellanger, Mathieu, Berrouard, Philippe, Blumberger, Jochen, Boden, Stuart A., Bronstein, Hugo, Carnie, Matthew J., Case, Chris, Castro, Fernando A., Chang, Yi-Ming, Chao, Elmer, Clarke, Tracey M., Cooke, Graeme, Docampo, Pablo, Durose, Ken, Durrant, James R., Filip, Marina R., Friend, Richard H., Frost, Jarvist M., Gibson, Elizabeth A., Gillett, Alexander J., Goddard, Pooja, Habisreutinger, Severin N., Heeney, Martin, Hendsbee, Arthur D., Hirst, Louise C., Islam, M. Saiful, Jayawardena, K. D. G. Imalka, Johnston, Michael B., Kauer, Matthias, Kettle, Jeff, Kim, Ji-Seon, Lamb, Dan, Lidzey, David, Lim, Jihoo, MacKenzie, Roderick, Mason, Nigel, McCulloch, Iain, McKenna, Keith P., Meier, Sebastian B., Meredith, Paul, Morse, Graham, Murphy, John D., Nicklin, Chris, Ortega-Arriaga, Paloma, Osterberg, Thomas, Patel, Jay B., Peaker, Anthony, Riede, Moritz, Rush, Martyn, Ryan, James W., Scanlon, David O., Skabara, Peter J., So, Franky, Snaith, Henry J., Steier, Ludmilla, Thiesbrummel, Jarla, Troisi, Alessandro, Underwood, Craig, Walzer, Karsten, Watson, Trystan, Walls, J. Michael, Walsh, Aron, Whalley, Lucy D., Winchester, Benedict, Stranks, Samuel D., Hoye, Robert L. Z.
Photovoltaics (PVs) are a critical technology for curbing growing levels of anthropogenic greenhouse gas emissions, and meeting increases in future demand for low-carbon electricity. In order to fulfil ambitions for net-zero carbon dioxide equivalent
Externí odkaz:
http://arxiv.org/abs/2310.19430
Publikováno v:
NLPIR 2023: 2023 7th International Conference on Natural Language Processing and Information Retrieval, Seoul, Republic of Korea, December 2023
Sentiment Analysis (SA) is an indispensable task for many real-world applications. Compared to limited resourced languages (i.e., Arabic, Bengali), most of the research on SA are conducted for high resourced languages (i.e., English, Chinese). Moreov
Externí odkaz:
http://arxiv.org/abs/2309.13731