Large Language Models, Agents, and the MCP in Database Development

Συγγραφείς: Nidzwetzki, Jan Kristof^{Aff1, IDs13222026005388_cor1}

Πηγή: Datenbank-Spektrum: Zeitschrift für Datenbanktechnologien und Information Retrieval. 26(2):189-195

The Application of Distributed Storage and Computing Technology in Database Development Based on Big Data Background

Συγγραφείς: Xu, Ruibin, You, Liping

Πηγή: 2025 5th International Conference on Computer Vision, Application and Algorithm (CVAA) Computer Vision, Application and Algorithm (CVAA), 2025 5th International Conference on. :381-387 Aug, 2025

Relation: 2025 5th International Conference on Computer Vision, Application and Algorithm (CVAA)

Knowledge database development by large language models for countermeasures against viruses and marine toxins

Συγγραφείς: Do, Hung N., Kubicek-Sutherland, Jessica Z., Gnanakaran, S.

Θεματικοί όροι: Artificial Intelligence, Databases

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2603.29149

Database Development for Reliable Small Object Detection in Maritime Environments

Συγγραφείς: Whisenant, Jacob, Servart, Chadwick, Cahl, Douglas, Wang, Yi

Πηγή: OCEANS 2025 - Great Lakes OCEANS, Great Lakes 2025. :1-8 Sep, 2025

Relation: OCEANS 2025 - Great Lakes

Genetic characterization to guarantee varietal authenticity between citrus germplasms and proposal of an international database development

Συγγραφείς: F. Luro, E. Marchi, G. Costantino, E. Bloquel, O. Pailly

Πηγή: Acta Horticulturae. :211-216

Significance, challenges, and policy recommendations for strengthening database development to support AI for Science in China

Συγγραφείς: Kaihua CHEN, Hongxin LIU, Rui GUO

Πηγή: Bulletin of Chinese Academy of Sciences. 41:194-204

Database development and geometric characterization of the shallow landslides triggered bythe 16 June 2024 extreme rainfall event in Meizhou, Guangdong (China)

Συγγραφείς: Xiuru Ma, Yulong Cui, Chong Xu, Haibo Miao, Wanyu Hu, Jun Zheng

Πηγή: Landslides. 23:1019-1033

Comprehensive Overview of CBB Detection Technologies and Image Database Development

Συγγραφείς: Quintanilla-Castro, Kevin, Meza-Molina, Robin, Rodriguez-Gallo, Yakdiel, Cardona, Manuel, Cruz, Jordi

Πηγή: 2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) ICMLANT Machine Learning and Applied Network Technologies (ICMLANT), 2024 IEEE International Conference on. :26-31 Dec, 2024

Relation: 2024 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)

Database Development and Exploration: Capturing Activity Tracking Device Data During Pregnancy

Συγγραφείς: Sara Santarossa, Anthony Wahlman, Paula M. van Wyk, Clinton A. Brawner, Tengfei Ma, Alexandra R Sitarik, Andrea E. Cassidy-Bushrow

Πηγή: Journal of Clinical Exercise Physiology. 14:94-99

AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data

Συγγραφείς: Kieun Lee, Taeyong Kim, Doo-Yeol Yoo, Sungkon Moon

Πηγή: Journal of Computing in Civil Engineering. 40

Thermal Response Test (TRT) Database Development and Integration for Shallow Geothermal Applications: The FIS-GP Example

Συγγραφείς: Mehrdad Sardar Abadi, Sven Rumohr, Holger Jensen, Jens Gramenz, Katharina-Maria Kuper, Thorsten Agemar

Semi-automated landslide database development through online news and satelite images

Συγγραφείς: Clara Cardoso, Gean Paulo Michel, Franciele Zanandrea

A novel framework for analysing bubble-particle collision efficiency with realistic mineral shapes: theory, simulation, and database development

Συγγραφείς: Zheng, Guihua ^{a, b, ⁎}, Nguyen, Anh V. ^{b, ⁎}, Nguyen, Tuan A.H. ^b, Nguyen, Ngoc N. ^b, Ma, Liqiang ^{a, ⁎}

Πηγή: In Minerals Engineering January 2026 235 Part 1

Flexural behaviour of mechanically-connected timber–concrete composite floors: Database development and critical review of full-scale experiments

Συγγραφείς: Dalbiso, Alemayehu Darge ^⁎, Sandberg, Dick, Baghban, Mohammad Haj Mohammadian

Πηγή: In Structures September 2026 91

Diagnostic Utility of Comprehensive Balance Function Testing in Patients with Vertigo and the Role of Database Development for Future AI Integration

Συγγραφείς: Toru Miwa, Shumpei Futami

Πηγή: Equilibrium Research. 84:197-203

Advancing Disaster-Resilient Tourism Through Tsunami Database Development and Numerical Modelling in the Banda Islands

Συγγραφείς: Mardi Wibowo, Wahyu Hendriyono, Hanah Khoirunnisa, Reno Arief Rachman, Shofia Karima, Widjo Kongko

Πηγή: Pure and Applied Geophysics. 182:3397-3413

Database development for an experimental watershed

Συγγραφείς: Allen T. Hjelmfelt, Teri L. Oster, Michelle Pruitt

Πηγή: Surface Water Hydrology ISBN: 9781003762331

Integrated Deep Learning Approaches for Coral Health Monitoring and Database Development

Συγγραφείς: Dua Weraikat, Febin Antony, Sabrina Albukhari

Πηγή: Communications in Computer and Information Science ISBN: 9783032135889

Health Impact Database Development for Sweeteners and Sweetness Enhancers: The SWEET Project

Συγγραφείς: Scott, C.E., Stamataki, N., Harrold, J.A., Raben, A., Halford, J.C.G.

Πηγή: Nutr Bull
Scott, C E, Stamataki, N, Harrold, J A, Raben, A & Halford, J C G 2025, ' Health Impact Database Development for Sweeteners and Sweetness Enhancers : The SWEET Project ', Nutrition Bulletin, vol. 50, no. 2, pp. 340-344 . https://doi.org/10.1111/nbu.70006

Θεματικοί όροι: Databases, Factual, non-nutritive sweeteners, low and non-caloric sweeteners, high-intensity sweeteners, high‐intensity sweeteners, Sweeteners, low and non‐caloric sweeteners, sugar, Sweetening Agents, non‐nutritive sweeteners, Humans, News and Views, database, Randomized Controlled Trials as Topic

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40181211
https://curis.ku.dk/ws/files/455362756/Nutrition_Bulletin_-_2025_-_Scott_-_Health_Impact_Database_Development_for_Sweeteners_and_Sweetness_Enhancers_The_SWEET.pdf
https://researchprofiles.ku.dk/da/publications/577d97e7-e77d-4ea5-a013-95f56fc16616
https://doi.org/10.1111/nbu.70006
https://eprints.whiterose.ac.uk/id/eprint/240830/

Sensory data mapping and database development for interlayer bond strength: Towards digital shadows in 3D concrete printing

Συγγραφείς: Versteege, J., Salet, T.A.M., Wolfs, R.J.M. ^⁎

Πηγή: In Additive Manufacturing January 2026