Zobrazeno 1 - 10
of 49 205
pro vyhledávání: '"A. Sani"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 587-592 (2024)
Forests play key roles in climate regulation and essential environmental services for living organisms. This is why forests are the central focus of the United Nations (UN) Sustainable Development Goal (SDG 15). Thus, effective forest management is c
Externí odkaz:
https://doaj.org/article/422045b1324e4ae6b144ab5be8c98aaa
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 547-553 (2023)
In the last two decades, Light detection and ranging (LiDAR) has been widely employed in forestry applications. Individual tree segmentation is essential to forest management because it is a prerequisite to tree reconstruction and biomass estimation.
Externí odkaz:
https://doaj.org/article/b4474b4ee8034f0fb2348b2ef051b53f
Publikováno v:
Medicine in Microecology, Vol 17, Iss , Pp 100085- (2023)
This current study is to identify the most appropriate dose against intra and extrahepatic toxic agents as well as hematosuppressive agent in rats. The animals were divided into six groups (n = 10). Group 1 was placed on basal diet. Group II, I
Externí odkaz:
https://doaj.org/article/b9c35e06b4e54034b0edb18e20fdddc5
Large language models (LLMs) hold promise for generating plans for complex tasks, but their effectiveness is limited by sequential execution, lack of control flow models, and difficulties in skill retrieval. Addressing these issues is crucial for imp
Externí odkaz:
http://arxiv.org/abs/2410.12870
Autor:
Iacob, Alex, Sani, Lorenzo, Kurmanji, Meghdad, Shen, William F., Qiu, Xinchi, Cai, Dongqi, Gao, Yan, Lane, Nicholas D.
Language Model pre-training benefits from a broader data mixture to enhance performance across domains and languages. However, training on such heterogeneous text corpora is complex, requiring extensive and cost-intensive efforts. Since these data so
Externí odkaz:
http://arxiv.org/abs/2410.05021
Large Language Models (LLMs) have shown significant promise in plan generation. Yet, existing datasets often lack the complexity needed for advanced tool use scenarios - such as handling paraphrased query statements, supporting multiple languages, an
Externí odkaz:
http://arxiv.org/abs/2409.09191
The continuous flow of data collected by Internet of Things (IoT) devices, has revolutionised our ability to understand and interact with the world across various applications. However, this data must be prepared and transformed into event data befor
Externí odkaz:
http://arxiv.org/abs/2409.03478
Autor:
Ali, Shams Nafisa, Zahin, Afia, Shuvo, Samiul Based, Nizam, Nusrat Binta, Nuhash, Shoyad Ibn Sabur Khan, Razin, Sayeed Sajjad, Sani, S. M. Sakeef, Rahman, Farihin, Nizam, Nawshad Binta, Azam, Farhat Binte, Hossen, Rakib, Ohab, Sumaiya, Noor, Nawsabah, Hasan, Taufiq
Cardiac auscultation, an integral tool in diagnosing cardiovascular diseases (CVDs), often relies on the subjective interpretation of clinicians, presenting a limitation in consistency and accuracy. Addressing this, we introduce the BUET Multi-diseas
Externí odkaz:
http://arxiv.org/abs/2409.00724
Multimodal aspect-based sentiment analysis (MABSA) enhances sentiment detection by combining text with other data types like images. However, despite setting significant benchmarks, attention mechanisms exhibit limitations in efficiently modelling lo
Externí odkaz:
http://arxiv.org/abs/2408.15379
Publikováno v:
Toxicology Reports, Vol 8, Iss , Pp 422-428 (2021)
Welding fumes has been known to cause release of reactive oxygen species which stands to be cytotoxic. The study aims to assess the histopathological changes of some organs associated with exposure to welding fumes in experimental animals. The metal
Externí odkaz:
https://doaj.org/article/869b1848ecde439399605a5101e665ae