Zobrazeno 1 - 10
of 14 671
pro vyhledávání: '"A. Chetty"'
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
Open Radio Access Network (RAN) is a transformative paradigm that supports openness, interoperability, and intelligence, with the O-RAN architecture being the most recognized framework in academia and industry. In the context of Open RAN, the importa
Externí odkaz:
http://arxiv.org/abs/2409.15098
Autor:
Tran, Van Hong, Mehrotra, Aarushi, Sharma, Ranya, Chetty, Marshini, Feamster, Nick, Frankenreiter, Jens, Strahilevitz, Lior
To protect consumer privacy, the California Consumer Privacy Act (CCPA) mandates that businesses provide consumers with a straightforward way to opt out of the sale and sharing of their personal information. However, the control that businesses enjoy
Externí odkaz:
http://arxiv.org/abs/2409.09222
WiFi Channel State Information (CSI)-based activity recognition has sparked numerous studies due to its widespread availability and privacy protection. However, when applied in practical applications, general CSI-based recognition models may face cha
Externí odkaz:
http://arxiv.org/abs/2408.05567
Autor:
Khanmohammadi, Reza, Ghanem, Ahmed I., Verdecchia, Kyle, Hall, Ryan, Elshaikh, Mohamed, Movsas, Benjamin, Bagher-Ebadian, Hassan, Luo, Bing, Chetty, Indrin J., Alhanai, Tuka, Thind, Kundan, Ghassemi, Mohammad M.
Large Language Models (LLMs) offer significant potential for clinical symptom extraction, but their deployment in healthcare settings is constrained by privacy concerns, computational limitations, and operational costs. This study investigates the op
Externí odkaz:
http://arxiv.org/abs/2408.04775
COVID-19 as a global pandemic causes a massive disruption to social stability that threatens human life and the economy. Policymakers and all elements of society must deliver measurable actions based on the pandemic's severity to minimize the detrime
Externí odkaz:
http://arxiv.org/abs/2406.06618
Autor:
Liang, Xuanyu, Al-Tahmeesschi, Ahmed, Wang, Qiao, Chetty, Swarna, Sun, Chenrui, Ahmadi, Hamed
The proliferation of 5G technology presents an unprecedented challenge in managing the energy consumption of densely deployed network infrastructures, particularly Base Stations (BSs), which account for the majority of power usage in mobile networks.
Externí odkaz:
http://arxiv.org/abs/2405.10116
Autor:
Sun, Chenrui, Fontanesi, Gianluca, Chetty, Swarna Bindu, Liang, Xuanyu, Canberk, Berk, Ahmadi, Hamed
Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas
Externí odkaz:
http://arxiv.org/abs/2405.10087
Autor:
Schaffner, Brennan, Bhagoji, Arjun Nitin, Cheng, Siyuan, Mei, Jacqueline, Shen, Jay L., Wang, Grace, Chetty, Marshini, Feamster, Nick, Lakier, Genevieve, Tan, Chenhao
Moderating user-generated content on online platforms is crucial for balancing user safety and freedom of speech. Particularly in the United States, platforms are not subject to legal constraints prescribing permissible content. Each platform has thu
Externí odkaz:
http://arxiv.org/abs/2405.05225
Autor:
Alam, Nameyeh, Basilico, Jake, Bertolini, Daniele, Chetty, Satish Casie, D'Angelo, Heather, Douglas, Ryan, Fisher, Charles K., Fuller, Franklin, Gomes, Melissa, Gupta, Rishabh, Lang, Alex, Loukianov, Anton, Mak-McCully, Rachel, Murray, Cary, Pham, Hanalei, Qiao, Susanna, Ryapolova-Webb, Elena, Smith, Aaron, Theoharatos, Dimitri, Tolwani, Anil, Tramel, Eric W., Vidovszky, Anna, Viduya, Judy, Walsh, Jonathan R.
A patient's digital twin is a computational model that describes the evolution of their health over time. Digital twins have the potential to revolutionize medicine by enabling individual-level computer simulations of human health, which can be used
Externí odkaz:
http://arxiv.org/abs/2405.01488