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pro vyhledávání: '"A SHEEBA"'
Deep Learning (DL) techniques are increasingly applied in scientific studies across various domains to address complex research questions. However, the methodological details of these DL models are often hidden in the unstructured text. As a result,
Externí odkaz:
http://arxiv.org/abs/2411.09269
Autor:
Sharma, Anantha, John, Sheeba Elizabeth, Nikroo, Fatemeh Rezapoor, Bhatt, Krupali, Zambre, Mrunal, Wikhe, Aditi
The growth of digital documents presents significant challenges in efficient management and knowledge extraction. Traditional methods often struggle with complex documents, leading to issues such as hallucinations and high latency in responses from L
Externí odkaz:
http://arxiv.org/abs/2411.05936
Recently, there has been a growing interest in Multimodal Large Language Models (MLLMs) due to their remarkable potential in various tasks integrating different modalities, such as image and text, as well as applications such as image captioning and
Externí odkaz:
http://arxiv.org/abs/2409.18753
Autor:
Ahmed, Waqas, Kommineni, Vamsi Krishna, König-Ries, Birgitta, Gaikwad, Jitendra, Gadelha, Luiz, Samuel, Sheeba
Artificial Intelligence (AI) is revolutionizing biodiversity research by enabling advanced data analysis, species identification, and habitats monitoring, thereby enhancing conservation efforts. Ensuring reproducibility in AI-driven biodiversity rese
Externí odkaz:
http://arxiv.org/abs/2407.07550
Autor:
Samuel, Sheeba, Mietchen, Daniel
The way in which data are shared can affect their utility and reusability. Here, we demonstrate how data that we had previously shared in bulk can be mobilized further through a knowledge graph that allows for much more granular exploration and inter
Externí odkaz:
http://arxiv.org/abs/2404.12935
The conventional process of building Ontologies and Knowledge Graphs (KGs) heavily relies on human domain experts to define entities and relationship types, establish hierarchies, maintain relevance to the domain, fill the ABox (or populate with inst
Externí odkaz:
http://arxiv.org/abs/2403.08345
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2022, Vol. 96, Issue 8, pp. 1053-1060.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-07-2022-0187
Publikováno v:
International Journal of Tourism Cities, 2023, Vol. 10, Issue 3, pp. 789-816.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJTC-03-2023-0050
Autor:
Perveen, Shahida, Qurat-ul-Ain, Iqbal, Sarosh, Wajid, Sheeba, khan, Khalid Muhammad, Choudhary, Muhammad Iqbal
To investigate1,1-Diphenyl-2-picrylhydrazyl (DPPH) and superoxide radical (SOR) 17 scavenging activities of 2-oxo-1,2,3,4-tetrahydropyrimidines derivatives. Free radicals are 18 highly unstable and reactive molecules/atoms. In the body, free radicals
Externí odkaz:
http://arxiv.org/abs/2310.10063
Knowledge graphs (KGs) are widely used for representing and organizing structured knowledge in diverse domains. However, the creation and upkeep of KGs pose substantial challenges. Developing a KG demands extensive expertise in data modeling, ontolog
Externí odkaz:
http://arxiv.org/abs/2309.08754