Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Bandara, H. M. N."'
As Artificial Intelligence (AI) integrates into diverse areas, particularly in content generation, ensuring rightful ownership and ethical use becomes paramount. AI service providers are expected to prioritize responsibly sourcing training data and o
Externí odkaz:
http://arxiv.org/abs/2404.06077
Autor:
Yu, Guangsheng, Wang, Qin, Sun, Caijun, Nguyen, Lam Duc, Bandara, H. M. N. Dilum, Chen, Shiping
In this paper, we study how to optimize existing Non-Fungible Token (NFT) incentives. Upon exploring a large number of NFT-related standards and real-world projects, we come across an unexpected finding. That is, the current NFT incentive mechanisms,
Externí odkaz:
http://arxiv.org/abs/2402.06459
Autor:
Zhang, Guanqin, Sun, Jiankun, Xu, Feng, Bandara, H. M. N. Dilum, Chen, Shiping, Sui, Yulei, Menzies, Tim
Deep neural networks (DNNs), are widely used in many industries such as image recognition, supply chain, medical diagnosis, and autonomous driving. However, prior work has shown the high accuracy of a DNN model does not imply high robustness (i.e., c
Externí odkaz:
http://arxiv.org/abs/2211.10012
As the killer application of blockchain technology, blockchain-based payments have attracted extensive attention ranging from hobbyists to corporates to regulatory bodies. Blockchain facilitates fast, secure, and cross-border payments without the nee
Externí odkaz:
http://arxiv.org/abs/2102.09810
Improving the fuel efficiency of vehicles is imperative to reduce costs and protect the environment. While the efficient engine and vehicle designs, as well as intelligent route planning, are well-known solutions to enhance the fuel efficiency, resea
Externí odkaz:
http://arxiv.org/abs/2007.02728
Organizations are adopting data analytics and Business Intelligence (BI) tools to gain insights from the past data, forecast future events, and to get timely and reliable information for decision making. While the tools are becoming mature, affordabl
Externí odkaz:
http://arxiv.org/abs/2007.01862
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Emerging collaborative Peer-to-Peer (P2P) systems require discovery and utilization of diverse, multi-attribute, distributed, and dynamic groups of resources to achieve greater tasks beyond conventional file and processor cycle sharing. Collaboration
Externí odkaz:
http://arxiv.org/abs/1207.0790
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.