Zobrazeno 1 - 10
of 26 456
pro vyhledávání: '"Ngo, P"'
Autor:
Han, Gyeo-Re, Goncharov, Artem, Eryilmaz, Merve, Ye, Shun, Joung, Hyou-Arm, Ghosh, Rajesh, Ngo, Emily, Tomoeda, Aoi, Lee, Yena, Ngo, Kevin, Melton, Elizabeth, Garner, Omai B., Di Carlo, Dino, Ozcan, Aydogan
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-sensitivity detection of cardiac troponin I (cTnI) through innovations
Externí odkaz:
http://arxiv.org/abs/2412.08945
Autor:
Tran, Nguyen-Bao-Long, Ngo, Tuan V., Ngo, Mao V., Chen, Binbin, Park, Jihong, Quek, Tony Q. S.
As telecommunications systems progress to support diverse use cases with heterogeneous and dynamic Quality of Service (QoS) requirements, it becomes an increasingly complex task to automatically manage various resources involved -- from radio, comput
Externí odkaz:
http://arxiv.org/abs/2410.09765
Autor:
Ngo, Tuan V., Ngo, Mao V., Chen, Binbin, Gemmi, Gabriele, Baena, Eduardo, Polese, Michele, Melodia, Tommaso, Chien, William, Quek, Tony
Open Radio Access Networks (O-RAN) are expected to revolutionize the telecommunications industry with benefits like cost reduction, vendor diversity, and improved network performance through AI optimization. Supporting the O-RAN ALLIANCE's mission to
Externí odkaz:
http://arxiv.org/abs/2410.04416
This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Text, Text2Image, and Image2Text, to address the out-of-vocabulary proble
Externí odkaz:
http://arxiv.org/abs/2412.15494
When it comes to expensive black-box optimization problems, Bayesian Optimization (BO) is a well-known and powerful solution. Many real-world applications involve a large number of dimensions, hence scaling BO to high dimension is of much interest. H
Externí odkaz:
http://arxiv.org/abs/2412.12918
Finding heavy hitters in databases and data streams is a fundamental problem, with applications ranging from network monitoring to database query optimization, anomaly detection, and more. Approximation algorithms offer practical solutions, but they
Externí odkaz:
http://arxiv.org/abs/2412.12873
The enhanced representational power and broad applicability of deep learning models have attracted significant interest from the research community in recent years. However, these models often struggle to perform effectively under domain shift condit
Externí odkaz:
http://arxiv.org/abs/2412.11819
Adoption of machine learning models across industries have turned Neural Networks (DNNs) into a prized Intellectual Property (IP), which needs to be protected from being stolen or being used without authorization. This topic gave rise to multiple wat
Externí odkaz:
http://arxiv.org/abs/2412.12194
Autor:
Le, Minh, Luu, Tien Ngoc, The, An Nguyen, Le, Thanh-Thien, Nguyen, Trang, Nguyen, Tung Thanh, Van, Linh Ngo, Nguyen, Thien Huu
To address catastrophic forgetting in Continual Relation Extraction (CRE), many current approaches rely on memory buffers to rehearse previously learned knowledge while acquiring new tasks. Recently, prompt-based methods have emerged as potent altern
Externí odkaz:
http://arxiv.org/abs/2412.08285
Autor:
Galappaththige, Diluka, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail, Tellambura, Chintha
Cell-free (CF) architecture and full-duplex (FD) communication are leading candidates for next-generation wireless networks. The CF framework removes cell boundaries in traditional cell-based systems, thereby mitigating inter-cell interference and im
Externí odkaz:
http://arxiv.org/abs/2412.04711