Results 51 to 60 of about 9,430 (213)

Introducing Polyglot-Based Data-Flow Awareness to Time-Series Data Stores

IEEE Access, 2022
The rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil.
Carlos Garcia Calatrava, Yolanda Becerra, Fernando M. Cucchietti   +2 more
doaj   +1 more source

MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model

Materials Genome Engineering Advances, Volume 4, Issue 2, June 2026.
The lack of user‐friendly tool interfaces has restricted the popularization of data‐driven methods in scientific research. In this study, we present MatterMind, a user‐friendly, agentic interface that closes the loop between first‐principles computation, generative structure design, and large language model (LLM) analysis. ABSTRACT Machine learning and
Kaiyang Xu, Yujun Lu, Lifeng Liu, Lei Zhang   +3 more
wiley   +1 more source

MongoDB [PDF]

В статье рассмотрена MongoDB - популярная система управления базами данных типа NoSQL, используемая для создания высокодоступных и масштабируемых интернет-приложений.
БАРБЭНЯГРЭ, Алексей
core   +1 more source

A comparative analysis of non-relational databases in e-commerce applications

Journal of Computer Sciences Institute, 2023
In this article, a comparative analysis of non-relational databases was conducted to determine the best database for e-commerce systems. Non-relational systems such as MongoDB and Apache Cassandra were used for the study and the results were compared ...
Kacper Saweczko, Grzegorz Rożek, Małgorzata Plechawska-Wójcik   +2 more
doaj   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 646-666, June 2026.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source

Endodontic diagnostics training in undergraduate dental education: An observational pilot study on AI‐driven virtual patient e‐learning

International Endodontic Journal, Volume 59, Issue 6, Page 1145-1159, June 2026.
Abstract Aim To develop and evaluate an e‐learning tool utilizing a generative pre‐trained transformer (GPT), a form of artificial intelligence (AI), to allow for realistic conversation on virtual patients when undergoing training on how to diagnose diseases of endodontic origin, and to evaluate improvements in self‐perceived skills.
Marian Prinz, Edgar Schäfer, Sebastian Bürklein, David Donnermeyer   +3 more
wiley   +1 more source

Experimental High‐Throughput Electrochemistry

ChemElectroChem, Volume 13, Issue 9, 5 May 2026.
This review highlights experimental high‐throughput electrochemistry as a powerful approach to accelerate electrochemical research. Key technologies such as automated platforms, microelectrode arrays, and machine learning‐based optimization are discussed, with a focus on applications in electrocatalysis, battery research, and electrosynthesis ...
Jens Noack
wiley   +1 more source

Comparative analysis of non-relational databases on the example of Amazon DynamoDB and MongoDB

Journal of Computer Sciences Institute
This article compares two non-relational database systems: Amazon DynamoDB and MongoDB. The aim of the study was to identify the more efficient system.
Michał Sagan, Małgorzata Plechawska-Wójcik   +1 more
doaj   +1 more source

The RESILIENT Study: A Retrospective, Descriptive, Correlational Investigation of Correlates of Oral Endocrine Therapy Adherence in Older Women With Breast Cancer

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Background Breast cancer is the most prevalent and costly cancer. Oral endocrine therapy (OET) improves survival rates and quality of life while reducing recurrence, mortality, morbidity, and medical costs. However, adherence to OET is challenging because OET is prescribed for 5–10 years.
Sunny Y. Ruggeri, Cynthia L. Russell Lippincott, Gregory L. Alexander, Rebecca J. Bartlett Ellis, Steven R. Chesnut, Lori A. Erickson   +5 more
wiley   +1 more source

ANÁLISIS COMPARATIVO DEL RENDIMIENTO DE LOS MOTORES DE ALMACENAMIENTO DE DATOS MYSQL Y MONGODB PARA EL SOPORTE DE OBJETOS CON CONTENIDOS DINÁMICOS

Revista Ingeniería, Matemáticas y Ciencias de la Información
Los análisis de rendimiento comparativos permiten a los usuarios tomar decisiones informadas sobre la conveniencia de tecnologías para el desarrollo de proyectos de software, más allá de las tendencias actuales del mercado y/o información comercial de ...
ROGER CALDERON MORENO, Edwin David Rubiano Bacca, Luis Alberto Parra Linares   +2 more
doaj   +1 more source