Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Arjun Ramesh"'
The increasing prevalence of AI-generated content alongside human-written text underscores the need for reliable discrimination methods. To address this challenge, we propose a novel framework with textual embeddings from Pre-trained Language Models
Externí odkaz:
http://arxiv.org/abs/2411.00411
In safeguarding mission-critical systems, such as Unmanned Aerial Vehicles (UAVs), preserving the privacy of path trajectories during navigation is paramount. While the combination of Reinforcement Learning (RL) and Fully Homomorphic Encryption (FHE)
Externí odkaz:
http://arxiv.org/abs/2411.00403
Autonomous Unmanned Aerial Vehicles (UAVs) have become essential tools in defense, law enforcement, disaster response, and product delivery. These autonomous navigation systems require a wireless communication network, and of late are deep learning b
Externí odkaz:
http://arxiv.org/abs/2404.17225
Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templates in a face recognition system. These embeddings are susceptible to
Externí odkaz:
http://arxiv.org/abs/2404.16255
Publikováno v:
International Journal of Computer Applications. 176:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c97d344f60a294f2b029bd00617bcd6c
https://doi.org/10.5120/ijca2020920526
https://doi.org/10.5120/ijca2020920526
Publikováno v:
ICMI
Modeling team phenomena from multiparty interactions inherently requires combining signals from multiple teammates, often by weighting strategies. Here, we explored the hypothesis that strategic weighting signals from individual teammates would outpe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6741384d8f57509fd5f488a6e4fbd6f
https://doi.org/10.1145/3382507.3418877
https://doi.org/10.1145/3382507.3418877
Publikováno v:
Materials Today: Proceedings. 5:25255-25264
The sandwich sheets categorized under tailor made blanks are widely used in the aircrafts, automobiles, and ship structures. Metal foam used in the sandwich sheets influences the mechanical properties of sandwich sheets. Since the sandwich sheets are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30adbd4b584402bb8f3c24bedf45b458
https://doi.org/10.1016/j.matpr.2018.10.328
https://doi.org/10.1016/j.matpr.2018.10.328
Autor:
Or Cohen-Inbar, Adam C. Mueller, Jason P. Sheehan, Han-Hsun Shih, Zhiyuan Xu, David Schlesinger, Cheng-Chia Lee, Arjun Ramesh
Publikováno v:
Journal of Neurosurgery. 126:726-734
OBJECTIVE Recent advancements in molecular biology have identified the BRAF mutation as a common mutation in melanoma. The wide use of BRAF kinase inhibitor (BRAFi) in patients with metastatic melanoma has been established. The objective of this stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea3fb7a4da6d97b46b115d1e709be36d
https://doi.org/10.3171/2016.2.jns1633
https://doi.org/10.3171/2016.2.jns1633
Publikováno v:
Practical Chronic Pain Management ISBN: 9783030466749
Pudendal neuralgia is an uncommon, painful condition caused secondary to inflammation or entrapment of the pudendal nerve. The prevalence of pudendal neuralgia is reported at 1:100,000 but is often underdiagnosed. This pain is described as a pain alo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c35441a04a00d9136a624ceedb9e1721
https://doi.org/10.1007/978-3-030-46675-6_38
https://doi.org/10.1007/978-3-030-46675-6_38
Autor:
Arjun Ramesh, Samuel Samuel
Publikováno v:
Guide to the Inpatient Pain Consult ISBN: 9783030404482
Patients with sepsis in the intensive care unit present a challenge when it comes to pain control, as the balance between pain control and maintenance of their vital signs is paramount. Improving their pain risks losing the sympathetic tone that main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6b0adaba4c93a2258f73b597edf758
https://doi.org/10.1007/978-3-030-40449-9_32
https://doi.org/10.1007/978-3-030-40449-9_32