Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Nguyen Truong Thanh"'
Autor:
Tran Van Ty, Dinh Van Duy, Lam Tan Phat, Huynh Vuong Thu Minh, Nguyen Truong Thanh, Nguyen Thi Ngoc Uyen, Nigel K. Downes
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1094 (2024)
The dynamic shifts in shorelines due to erosion and deposition have become a significant challenge in coastal zone management, particularly in the context of climate change and rising sea levels. This paper evaluates the shoreline protection and effi
Externí odkaz:
https://doaj.org/article/bf0a2e6861dc4b86966fe83339d1c520
Autor:
Nguyen Truong Thanh, Pham Van Toan, Tran Van Ty, Kim Lavane, Huynh Vuong Thu Minh, Dinh Van Duy, Pankaj Kumar, Fayaz Ahmad Tantray, Gowhar Meraj
Publikováno v:
Water, Vol 16, Iss 7, p 951 (2024)
This study presents a comprehensive analysis of plastic waste accumulation in both terrestrial and aquatic environments in Can Tho city, Vietnam, a nation with high per capita plastic consumption and significant plastic waste discharge. Focusing on u
Externí odkaz:
https://doaj.org/article/13f7f187c00849fa947a7461e697d6f2
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including In
Externí odkaz:
http://arxiv.org/abs/2409.15243
Emission and Reduction of Air Pollutants from Charcoal-Making Process in the Vietnamese Mekong Delta
Autor:
Pham Van Toan, Lavane Kim, Nguyen Truong Thanh, Huynh Long Toan, Le Anh Tuan, Huynh Vuong Thu Minh, Pankaj Kumar
Publikováno v:
Climate, Vol 11, Iss 7, p 149 (2023)
Charcoal is a fuelwood commonly used for domestic purposes on the household scale in Africa and Southeast Asia. Earnings from charcoal production contribute to the income of local inhabitants in rural areas. Unfortunately, airborne emissions from the
Externí odkaz:
https://doaj.org/article/94d2e1056f88467aa2da8bb966d34ee6
Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technologies on low-resource edge devices poses substantial challenges due to t
Externí odkaz:
http://arxiv.org/abs/2407.11771
Autor:
Kim Lavane, Pankaj Kumar, Gowhar Meraj, Tran Gia Han, Luong Hong Boi Ngan, Bui Thi Bich Lien, Tran Van Ty, Nguyen Truong Thanh, Nigel K. Downes, Nguyen Dinh Giang Nam, Huynh Vuong Thu Minh, Suraj Kumar Singh, Shruti Kanga
Publikováno v:
Climate, Vol 11, Iss 1, p 13 (2023)
In contrast to other natural disasters, droughts may develop gradually and last for extended periods of time. The World Meteorological Organization advises using the Standardized Precipitation Index (SPI) for the early identification of drought and u
Externí odkaz:
https://doaj.org/article/7a1cf997e8ff4791893e6e8ecb181e9a
Autor:
Nguyen, Quoc Khanh, Nguyen, Truong Thanh Hung, Nguyen, Vo Thanh Khang, Truong, Van Binh, Phan, Tuong, Cao, Hung
To address the challenges of providing quick and plausible explanations in Explainable AI (XAI) for object detection models, we introduce the Gaussian Class Activation Mapping Explainer (G-CAME). Our method efficiently generates concise saliency maps
Externí odkaz:
http://arxiv.org/abs/2404.13417
Publikováno v:
Advances in Materials Science and Engineering, Vol 2020 (2020)
The low carbon steel has good ductility that is favorable for forming process, but its low strength leads to limiting their application for forced structures. This paper studied improving strength of low-carbon steel via rolling deformation and dual-
Externí odkaz:
https://doaj.org/article/57f5650829c44f00825d94edeb60d1da
Publikováno v:
Hydrology, Vol 9, Iss 1, p 15 (2022)
Because of its threat to the quality of freshwater resources and human health, arsenic (As) pollution is important to scientific communities and policymakers around the world. The Mekong Delta, Vietnam, is one hotspot of As pollution. Its risk assess
Externí odkaz:
https://doaj.org/article/9c5d1eb0c1a54012a50baa882c2841a7
Autor:
Nguyen, Truong Thanh Hung, Clement, Tobias, Nguyen, Phuc Truong Loc, Kemmerzell, Nils, Truong, Van Binh, Nguyen, Vo Thanh Khang, Abdelaal, Mohamed, Cao, Hung
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite XAI advancements, an understanding gap persists for end-users with lim
Externí odkaz:
http://arxiv.org/abs/2402.12525