Zobrazeno 1 - 10
of 35 177
pro vyhledávání: '"A. A. Berk"'
Autor:
Al-Shareeda, Sarah, Huseynov, Khayal, Cakir, Lal Verda, Thomson, Craig, Ozdem, Mehmet, Canberk, Berk
In today's networked world, Digital Twin Networks (DTNs) are revolutionizing how we understand and optimize physical networks. These networks, also known as 'Digital Twin Networks (DTNs)' or 'Networks Digital Twins (NDTs),' encompass many physical ne
Externí odkaz:
http://arxiv.org/abs/2411.00681
Machine learning models are often used to automate or support decisions in applications such as lending and hiring. In such settings, consumer protection rules mandate that we provide a list of "principal reasons" to consumers who receive adverse dec
Externí odkaz:
http://arxiv.org/abs/2410.22598
Autor:
Zheng, Zhiwu, Mentzer, Lauren, Iskender, Berk, Price, Michael, Prendergast, Colm, Cloitre, Audren
We introduce a novel pipeline for segmenting and structuring color and depth (RGB-D) data. Existing processing pipelines for RGB-D data have focused on extracting geometric information alone. This approach precludes the development of more advanced r
Externí odkaz:
http://arxiv.org/abs/2410.17988
Kidney transplantation is the preferred treatment for end-stage renal disease, yet the scarcity of donors and inefficiencies in allocation systems create major bottlenecks, resulting in prolonged wait times and alarming mortality rates. Despite their
Externí odkaz:
http://arxiv.org/abs/2410.09116
Autor:
Chetty, Swarna Bindu, Nag, Avishek, Al-Tahmeesschi, Ahmed, Wang, Qiao, Canberk, Berk, Marquez-Barja, Johann, Ahmadi, Hamed
6G, the next generation of mobile networks, is set to offer even higher data rates, ultra-reliability, and lower latency than 5G. New 6G services will increase the load and dynamism of the network. Network Function Virtualization (NFV) aids with this
Externí odkaz:
http://arxiv.org/abs/2410.06938
We introduce a new vulnerability that exploits fixed points in autoregressive models and use it to craft queries that never halt, i.e. an LLM output that does not terminate. More precisely, for what we call non-halting queries, the LLM never samples
Externí odkaz:
http://arxiv.org/abs/2410.06287
This article introduces a novel heuristic for Task and Motion Planning (TAMP) named Interpretable Responsibility Sharing (IRS), which enhances planning efficiency in domestic robots by leveraging human-constructed environments and inherent biases. Ut
Externí odkaz:
http://arxiv.org/abs/2409.05586
Autor:
Cetin, Mehmet Berk
In today's digital society, issues related to digital privacy have become increasingly important. Issues such as data breaches result in misuse of data, financial loss, and cyberbullying, which leads to less user trust in digital services. This resea
Externí odkaz:
http://arxiv.org/abs/2409.02614
The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networks and ubiquitous intelligence. Existing solutions in the DT domain pr
Externí odkaz:
http://arxiv.org/abs/2409.01136
This paper investigates the performance of various Border Gateway Protocol (BGP) security policies against multiple attack scenarios using different deployment strategies. Through extensive simulations, we evaluate the effectiveness of defensive mech
Externí odkaz:
http://arxiv.org/abs/2408.15970