Zobrazeno 1 - 10
of 32 966
pro vyhledávání: '"Abul AT"'
Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technical users and complex database management systems. This survey provides
Externí odkaz:
http://arxiv.org/abs/2412.05208
Large Language Models (LLMs) have transformed numerous domains by providing advanced capabilities in natural language understanding, generation, and reasoning. Despite their groundbreaking applications across industries such as research, healthcare,
Externí odkaz:
http://arxiv.org/abs/2412.04782
Generative AI is reshaping the media landscape, enabling unprecedented capabilities in video creation, personalization, and scalability. This paper presents a comprehensive SWOT analysis of Metas Movie Gen, a cutting-edge generative AI foundation mod
Externí odkaz:
http://arxiv.org/abs/2412.03837
Autor:
Era, Israt Zarin, Zhou, Fan, Raihan, Ahmed Shoyeb, Ahmed, Imtiaz, Abul-Haj, Alan, Craig, James, Das, Srinjoy, Liu, Zhichao
Directed Energy Deposition (DED) offers significant potential for manufacturing complex and multi-material parts. However, internal defects such as porosity and cracks can compromise mechanical properties and overall performance. This study focuses o
Externí odkaz:
http://arxiv.org/abs/2411.12028
Autor:
Hassan, Mohamed Abul, Sun, Pu, Zhou, Xiangnan, Kraft, Lisanne, Hadfield, Kelsey T, Ehrlich, Katjana, Qi, Jinyi, Birkeland, Andrew, Marcu, Laura
This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is essential for lo
Externí odkaz:
http://arxiv.org/abs/2411.07395
The application of artificial intelligence (AI) in civil engineering presents a transformative approach to enhancing design quality and safety. This paper investigates the potential of the advanced LLM GPT4 Turbo vision model in detecting architectur
Externí odkaz:
http://arxiv.org/abs/2410.20036
Autor:
Singh, Aditi, Ehtesham, Abul, Gupta, Gaurav Kumar, Chatta, Nikhil Kumar, Kumar, Saket, Khoei, Tala Talaei
In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (LLMs). Emphasizing linguistic principles, we examine various techniques to identify their strengths, weaknesses, oppor
Externí odkaz:
http://arxiv.org/abs/2410.12843
Autor:
Ningrum, Prehatin T., Keman, Soedjajadi, Sulistyorini, Lilis, Sudiana, I K., Hidayat, Agus, Negoro, Abul H.S., Junaidi, Hasrah
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Oct 01. 28(10s), 430-448.
Externí odkaz:
https://www.jstor.org/stable/27339871
DNA methylation is a crucial epigenetic marker used in various clocks to predict epigenetic age. However, many existing clocks fail to account for crucial information about CpG sites and their interrelationships, such as co-methylation patterns. We p
Externí odkaz:
http://arxiv.org/abs/2408.00984
Objective: Virtual Reality (VR) is a technological interface that allows users to interact with a simulated environment. VR has been used extensively for mental health and clinical research. Mental health disorders are globally burdening health probl
Externí odkaz:
http://arxiv.org/abs/2407.18918