Zobrazeno 1 - 10
of 372 706
pro vyhledávání: '"A Nam"'
Publikováno v:
Veterinární Medicína, Vol 67, Iss 12, Pp 644-650 (2023)
An 11-year-old spayed female Toy Poodle presented with acute tetraparesis. A small subcutaneous mass was found in the right trunk region, and the magnetic resonance revealed a compressive spinal cord lesion due to an irregular bone proliferation at t
Externí odkaz:
https://doaj.org/article/d2130a5970a645e3aceb4d0b364d47aa
Autor:
Manh, Dung Nguyen, Chau, Thang Phan, Hai, Nam Le, Doan, Thong T., Nguyen, Nam V., Pham, Quang, Bui, Nghi D. Q.
Recent advancements in Code Large Language Models (CodeLLMs) have predominantly focused on open-ended code generation tasks, often neglecting the critical aspect of code understanding and comprehension. To bridge this gap, we present CodeMMLU, a comp
Externí odkaz:
http://arxiv.org/abs/2410.01999
Autor:
Park, Do-Hyun, Jeon, Min-Wook, Jeong, Jinwoo, Sim, Isaac, Yun, Sangbom, Seo, Junghyun, Kim, Hyoung-Nam
Electronic warfare support (ES) systems intercept adversary radar signals and estimate various types of signal information, including modulation schemes. The accurate and rapid identification of modulation schemes under conditions of very low signal
Externí odkaz:
http://arxiv.org/abs/2411.15104
The rising demand for remote-sensing systems for detecting hazardous situations has led to increased interest in radar-based human activity recognition (HAR). Conventional radar-based HAR methods predominantly rely on micro-Doppler spectrograms for r
Externí odkaz:
http://arxiv.org/abs/2411.15057
Autor:
Nam, Giung, Lee, Juho
While ensembling deep neural networks has shown promise in improving generalization performance, scaling current ensemble methods for large models remains challenging. Given that recent progress in deep learning is largely driven by the scale, exempl
Externí odkaz:
http://arxiv.org/abs/2411.14860
Autor:
Cao, Tri, Trinh, Minh-Huy, Deng, Ailin, Nguyen, Quoc-Nam, Duong, Khoa, Cheung, Ngai-Man, Hooi, Bryan
Anomaly detection (AD) is a machine learning task that identifies anomalies by learning patterns from normal training data. In many real-world scenarios, anomalies vary in severity, from minor anomalies with little risk to severe abnormalities requir
Externí odkaz:
http://arxiv.org/abs/2411.14515
Autor:
Nam, Heejeong, Ahn, Jinwoo
The ability to perform complex reasoning across multimodal inputs is essential for models to effectively interact with humans in real-world scenarios. Advancements in vision-language models have significantly improved performance on tasks that requir
Externí odkaz:
http://arxiv.org/abs/2411.14137
This paper presents an enhanced optical configuration for a single-pass quantitative Schlieren imaging system that achieves an optical resolution of approximately 4.6 micrometers. The modified setup decouples sensitivity from resolution, enabling ind
Externí odkaz:
http://arxiv.org/abs/2411.14069
Autor:
Chen, Deming, Youssef, Alaa, Pendse, Ruchi, Schleife, André, Clark, Bryan K., Hamann, Hendrik, He, Jingrui, Laino, Teodoro, Varshney, Lav, Wang, Yuxiong, Sil, Avirup, Jabbarvand, Reyhaneh, Xu, Tianyin, Kindratenko, Volodymyr, Costa, Carlos, Adve, Sarita, Mendis, Charith, Zhang, Minjia, Núñez-Corrales, Santiago, Ganti, Raghu, Srivatsa, Mudhakar, Kim, Nam Sung, Torrellas, Josep, Huang, Jian, Seelam, Seetharami, Nahrstedt, Klara, Abdelzaher, Tarek, Eilam, Tamar, Zhao, Huimin, Manica, Matteo, Iyer, Ravishankar, Hirzel, Martin, Adve, Vikram, Marinov, Darko, Franke, Hubertus, Tong, Hanghang, Ainsworth, Elizabeth, Zhao, Han, Vasisht, Deepak, Do, Minh, Oliveira, Fabio, Pacifici, Giovanni, Puri, Ruchir, Nagpurkar, Priya
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co
Externí odkaz:
http://arxiv.org/abs/2411.13239
Intent classification is a text understanding task that identifies user needs from input text queries. While intent classification has been extensively studied in various domains, it has not received much attention in the music domain. In this paper,
Externí odkaz:
http://arxiv.org/abs/2411.12254