Zobrazeno 1 - 10
of 10 900
pro vyhledávání: '"Nguyen, Tien The"'
Autor:
Pham, Trong Thang, Nguyen, Tien-Phat, Ikebe, Yuki, Awasthi, Akash, Deng, Zhigang, Wu, Carol C., Nguyen, Hien, Le, Ngan
Medical eye-tracking data is an important information source for understanding how radiologists visually interpret medical images. This information not only improves the accuracy of deep learning models for X-ray analysis but also their interpretabil
Externí odkaz:
http://arxiv.org/abs/2411.05780
Autor:
Quy, Vu Khanh, Quy, Nguyen Minh, Hoai, Tran Thi, Shaon, Shaba, Uddin, Md Raihan, Nguyen, Tien, Nguyen, Dinh C., Kaushik, Aryan, Chatzimisios, Periklis
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Space-Air-Ground Integrated Networks (SAGIN) have been envisioned to prov
Externí odkaz:
http://arxiv.org/abs/2411.01312
Autor:
Le, Cuong Chi, Truong-Vinh, Hoang-Chau, Phan, Huy Nhat, Le, Dung Duy, Nguyen, Tien N., Bui, Nghi D. Q.
Predicting program behavior and reasoning about code execution remain significant challenges in software engineering, particularly for large language models (LLMs) designed for code analysis. While these models excel at understanding static syntax, t
Externí odkaz:
http://arxiv.org/abs/2410.23402
The cognitive faculty of visual reasoning necessitates the integration of multimodal perceptual processing and commonsense and external knowledge of the world. In recent years, a plethora of large vision-language models (LVLMs) have been proposed, de
Externí odkaz:
http://arxiv.org/abs/2410.20883
REST (Representational State Transfer) APIs have become integral for data communication and exchange due to their simplicity, scalability, and compatibility with web standards. However, ensuring REST APIs' reliability through rigorous testing poses s
Externí odkaz:
http://arxiv.org/abs/2410.15399
Autor:
Nguyen, Duy M. H., Diep, Nghiem T., Nguyen, Trung Q., Le, Hoang-Bao, Nguyen, Tai, Nguyen, Tien, Nguyen, TrungTin, Ho, Nhat, Xie, Pengtao, Wattenhofer, Roger, Zhou, James, Sonntag, Daniel, Niepert, Mathias
State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med or BioMedGPT, leverage instruction-following data in pre-training. However, those models primarily focus on scaling the model size and data volume to boost performa
Externí odkaz:
http://arxiv.org/abs/2410.02615
While UWB-based methods can achieve high localization accuracy in small-scale areas, their accuracy and reliability are significantly challenged in large-scale environments. In this paper, we propose a learning-based framework named ULOC for Ultra-Wi
Externí odkaz:
http://arxiv.org/abs/2409.11122
Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks. Despite recent advancements that have enabled the creation of autonomous software agents utilizing LLMs for end-to-
Externí odkaz:
http://arxiv.org/abs/2409.16299
Autor:
Malik, Adeel, Ahadi, Mohsen, Kaltenberger, Florian, Warnke, Klaus, Thinh, Nguyen Tien, Bouknana, Nada, Thienot, Cedric, Onche, Godswill, Arora, Sagar
This paper presents, for the first time, an open-source implementation of the 3GPP Uplink Time Difference of Arrival (UL-TDoA) positioning method using the OpenAirInterface (OAI) framework. UL-TDoA is a critical positioning technique in 5G networks,
Externí odkaz:
http://arxiv.org/abs/2409.05217
In this paper, we establish non-uniform Berry-Esseen bounds by means of the Malliavin-Stein method. Applications to the multiple Wiener-It\^o integrals and the exponential functionals of Brownian motion are given to illustrate the theory.
Commen
Commen
Externí odkaz:
http://arxiv.org/abs/2409.01550