Results 231 to 240 of about 296,521 (271)

Transaction Management Using Update Protocol in Fully Replicated Databases

, 2002
Hui-Yeong Choe, Bu-Hyeon Hwang
openalex   +2 more sources

Blockchain-Enabled Traceability in the Rice Supply Chain: Insights from the TRACE-RICE Project. [PDF]

Foods
Gonçalves C, Fernandes J, Brites C.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Utility Mining Algorithm for High Utility Item sets from Transactional Databases

, 2014
Arati W. Borkar
openalex   +1 more source

Blockchain Technology for Big-data Sharing in Material Genome Engineering. [PDF]

Sci Data
Wang R, Ye F, Tang S, Zhang H, He J, Zhang X, Xu C.   +6 more
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Toward blockchain based electronic health record management with fine grained attribute based encryption and decentralized storage mechanisms. [PDF]

Sci Rep
Ullah A, Ullah Z, Rizvi SS, Gul L, Kwon SJ.   +4 more
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

IPP-DMS: A scalable privacy-preserving data management system for secure and efficient handling of large-scale datasets. [PDF]

Sci Rep
Pragya, Mathivanan SK, M R PK, Chandan RR, Thakur K, Moorthy U.   +5 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source