Results 51 to 60 of about 120,891 (289)

Evolving NoSQL Databases Without Downtime

, 2016
NoSQL databases like Redis, Cassandra, and MongoDB are increasingly popular because they are flexible, lightweight, and easy to work with. Applications that use these databases will evolve over time, sometimes necessitating (or preferring) a change to ...
Dumitraş, Tudor, Hicks, Michael, Saur, Karla   +2 more
core   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Cloud Computing Application For Romanian Smes

Marketing of Scientific and Research Organizations, 2017
The article studies the current economical state of Romanian SMEs and the utility of cloud computing technologies in the process of sustainable open innovation.
Pistol Luminiţa, Bucea-Manea Ţoniș Rocsana, Bucea-Manea Ţoniș Radu   +2 more
doaj   +1 more source

Serialización/deserialización de objetos y transmisión de datos con JSON: una revisión de la literatura

Tecnología en Marcha, 2016
En este artículo se presentan los resultados de la revisión de literatura sobre uno de los métodos de serialización/deserialización de objetos que usa la notación JSON (siglas en inglés de JavaScript Object Notation, o Notación de Objetos de JavaScript). 
Juan Antonio Mora-Castillo
doaj   +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

Auto-CORPus: A Natural Language Processing Tool for Standardizing and Reusing Biomedical Literature

Frontiers in Digital Health, 2022
To analyse large corpora using machine learning and other Natural Language Processing (NLP) algorithms, the corpora need to be standardized. The BioC format is a community-driven simple data structure for sharing text and annotations, however there is ...
Tim Beck, Tim Beck, Tom Shorter, Yan Hu, Yan Hu, Zhuoyu Li, Shujian Sun, Casiana M. Popovici, Casiana M. Popovici, Nicholas A. R. McQuibban, Nicholas A. R. McQuibban, Filip Makraduli, Cheng S. Yeung, Thomas Rowlands, Joram M. Posma, Joram M. Posma   +15 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Program Design of JSON to Structured Data Conversion

MATEC Web of Conferences, 2017
With the maturity of structured data storage technology and the increasing demand for enterprise information development, some enterprises need to convert the data storage model of application system from JSON to structured data. A file management system
Da Zhongyue, Yang Wenjie, Ran Peipei, Huo Yuke   +3 more
doaj   +1 more source

A Benchmark of JSON-compatible Binary Serialization Specifications [PDF]

, 2022
Juan Cruz Viotti, Mital Kinderkhedia
openalex   +1 more source

AFLOW-ML: A RESTful API for machine-learning predictions of materials properties

, 2017
Machine learning approaches, enabled by the emergence of comprehensive databases of materials properties, are becoming a fruitful direction for materials analysis.
Carrete, Jesús, Curtarolo, Stefano, Gossett, Eric, Isayev, Olexandr, Legrain, Fleur, Mingo, Natalio, Oses, Corey, Rose, Frisco, Toher, Cormac, Tropsha, Alexander, Zurek, Eva   +10 more
core   +1 more source