Zobrazeno 1 - 10
of 6 400
pro vyhledávání: '"Nguyen Thuy An"'
Autor:
Nguyen Thuy Anh
Publikováno v:
Fiat Justisia, Vol 17, Iss 2, Pp 167-178 (2023)
In the framework of the post-Covid-19 pandemic, Europe is facing two problems in terms of migrant workers: a shortage of agricultural production workers in some countries and the "coercive acceptance" of undocumented migrant workers. Most EU countrie
Externí odkaz:
https://doaj.org/article/a8797573061b496381d329f7316732d9
Autor:
Nguyen Huu Trung, Nguyen Thuy Anh
Publikováno v:
IEEE Access, Vol 11, Pp 142794-142815 (2023)
Driven by the most advanced technologies, such as massive multiple-input multiple-output (MIMO), 3D beamforming, Software-Defined Networking, and network slicing, 5G/6G systems support radio connections and end-to-end network connectivity at ultrahig
Externí odkaz:
https://doaj.org/article/4bd789069dc84703af3340f418fccba6
Autor:
Nguyen Thuy Anh, Tran Hue Ly
Publikováno v:
Journal of International Economics and Management, Pp 18-41 (2022)
This paper aims to observe corporate social responsibility (CSR) disclosure and to identify the determinants of CSR disclosure (CSRD) of Vietnam’s listed companies in chemical industry from 2014 to 2017. A rating system was built by incorporating
Externí odkaz:
https://doaj.org/article/ba0de3dfedf94195b335f371eb0cd6ee
Autor:
Nguyen Thuy Anh
Publikováno v:
Accounting, Vol 8, Iss 2, Pp 197-208 (2022)
This paper investigates the impact of CSR disclosure and CEO integrity on earnings management. Analyzing a dataset of 750 firm-year observations of 150 Vietnam listed firms during the period from 2014 to 2018, the paper shows a significant positive e
Externí odkaz:
https://doaj.org/article/ef485ed381a94635af1f8b02505541fe
Large Language Models (LLMs) have demonstrated their capabilities across various tasks, from language translation to complex reasoning. Understanding and predicting human behavior and biases are crucial for artificial intelligence (AI) assisted syste
Externí odkaz:
http://arxiv.org/abs/2407.09281
Data is a cornerstone for fine-tuning large language models, yet acquiring suitable data remains challenging. Challenges encompassed data scarcity, linguistic diversity, and domain-specific content. This paper presents lessons learned while crawling
Externí odkaz:
http://arxiv.org/abs/2311.01049
This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT responses were
Externí odkaz:
http://arxiv.org/abs/2311.01048
Autor:
Tran, Nhat-Quang, Felipe, Anna, Ngoc, Thanh Nguyen, Huynh, Tom, Tran, Quang, Tang, Arthur, Nguyen, Thuy
Agricultural price prediction is crucial for farmers, policymakers, and other stakeholders in the agricultural sector. However, it is a challenging task due to the complex and dynamic nature of agricultural markets. Machine learning algorithms have t
Externí odkaz:
http://arxiv.org/abs/2310.18646
Developing effective Multi-Agent Systems (MAS) is critical for many applications requiring collaboration and coordination with humans. Despite the rapid advance of Multi-Agent Deep Reinforcement Learning (MADRL) in cooperative MAS, one major challeng
Externí odkaz:
http://arxiv.org/abs/2308.09219
Temporal credit assignment is crucial for learning and skill development in natural and artificial intelligence. While computational methods like the TD approach in reinforcement learning have been proposed, it's unclear if they accurately represent
Externí odkaz:
http://arxiv.org/abs/2307.08171