Zobrazeno 1 - 10
of 39 679
pro vyhledávání: '"Nam, H"'
Scaling laws for large language models (LLMs) have provided useful guidance on how to train ever larger models for predictable performance gains. Time series forecasting shares a similar sequential structure to language, and is amenable to large-scal
Externí odkaz:
http://arxiv.org/abs/2405.13867
Autor:
Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj, Mukherjee, Sumanta, Nguyen, Nam H., Gifford, Wesley M., Reddy, Chandra, Kalagnanam, Jayant
Large pre-trained models excel in zero/few-shot learning for language and vision tasks but face challenges in multivariate time series (TS) forecasting due to diverse data characteristics. Consequently, recent research efforts have focused on develop
Externí odkaz:
http://arxiv.org/abs/2401.03955
Autor:
Hassan, Md Arif, Jamshidi, Mohammad Behdad, Manh, Bui Duc, Chu, Nam H., Nguyen, Chi-Hieu, Hieu, Nguyen Quang, Nguyen, Cong T., Hoang, Dinh Thai, Nguyen, Diep N., Van Huynh, Nguyen, Alsheikh, Mohammad Abu, Dutkiewicz, Eryk
Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially democratize content access by utilizing the latest developments in en
Externí odkaz:
http://arxiv.org/abs/2401.10901
Autor:
Palaskar, Santosh, Ekambaram, Vijay, Jati, Arindam, Gantayat, Neelamadhav, Saha, Avirup, Nagar, Seema, Nguyen, Nam H., Dayama, Pankaj, Sindhgatta, Renuka, Mohapatra, Prateeti, Kumar, Harshit, Kalagnanam, Jayant, Hemachandra, Nandyala, Rangaraj, Narayan
The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multiva
Externí odkaz:
http://arxiv.org/abs/2310.20280
Quantum image processing is a growing field attracting attention from both the quantum computing and image processing communities. We propose a novel method in combining a graph-theoretic approach for optimal surface segmentation and hybrid quantum-c
Externí odkaz:
http://arxiv.org/abs/2310.20154
The criticality of prompt and precise traffic forecasting in optimizing traffic flow management in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus. Spatio-Temporal Graph Neural Networks (STGNNs) have been lauded for the
Externí odkaz:
http://arxiv.org/abs/2308.07496
Autor:
Chu, Nam H., Van Huynh, Nguyen, Nguyen, Diep N., Hoang, Dinh Thai, Gong, Shimin, Shu, Tao, Dutkiewicz, Eryk, Phan, Khoa T.
This article introduces a novel lightweight framework using ambient backscattering communications to counter eavesdroppers. In particular, our framework divides an original message into two parts: (i) the active-transmit message transmitted by the tr
Externí odkaz:
http://arxiv.org/abs/2308.02242
Autor:
Abdelrahman H. Elsayed, Xueyuan Cao, Richard J. Marrero, Nam H. K. Nguyen, Huiyun Wu, Yonhui Ni, Raul C. Ribeiro, Herold Tobias, Peter J. Valk, François Béliveau, Guillaume Richard-Carpentier, Josée Hébert, C. Michel Zwaan, Alan Gamis, Edward Anders Kolb, Richard Aplenc, Todd A. Alonzo, Soheil Meshinchi, Jeffrey Rubnitz, Stanley Pounds, Jatinder K. Lamba
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-12 (2024)
Abstract In this study, we leveraged machine-learning tools by evaluating expression of genes of pharmacological relevance to standard-AML chemotherapy (ara-C/daunorubicin/etoposide) in a discovery-cohort of pediatric AML patients (N = 163; NCT001360
Externí odkaz:
https://doaj.org/article/8d2e5546c18f4cf3998b81a1211405a0
Publikováno v:
Phys. Rev. X 13, 021018 (2023)
Numerical integrations of the Solar System reveal a remarkable stability of the orbits of the inner planets over billions of years, in spite of their chaotic variations characterized by a Lyapunov time of only 5 million years and the lack of integral
Externí odkaz:
http://arxiv.org/abs/2305.01683