Results 31 to 40 of about 6,621 (175)

NOSQL TECHNOLOGY IN ANDROID BASED MOBILE CHAT APPLICATION USING MONGODB

, 2014
Along with the development of data storage technology which previously using relational concept began to change to the non-relational concept or sometimes referred to as the term NoSQL technology. Data storage in NoSQL is no longer based on the relations
Tunardi, Yovita, Layona, Rita, Layona, R. (Rita), Rita Layona, Tunardi, Y. (Yovita), Yovita Tunardi   +5 more
core   +1 more source

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

Advanced Engineering Materials, Volume 28, Issue 7, 8 April 2026.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner, Geo Jacob, Florian Raddatz, Gerko Wende   +3 more
wiley   +1 more source

Conditional Text Generation for AI‐Powered Interviews: A T5‐Based System With GPT‐2 Comparison

Engineering Reports, Volume 8, Issue 4, April 2026.
This work introduces an AI‐based interview system that uses T5 to generate context‐specific interview questions and responses. By comparing it with GPT‐2, the study shows T5's ability to produce more coherent and relevant dialogue, supporting advances in automated interview and conversational AI applications.
Kritika Acharya, Rashna K.C., Sudip Rana
wiley   +1 more source

Сравнение POSTGRESQL и MONGODB [PDF]

, 2018
Статья посвящена сравнению реляционной базы данных PostgreSQL и нереляционной базы данных MongoDB. Рассказано об организации и управлении данными, об отношениях между сущностями.
ЗВЕРКОВА, Ксения
core  

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Web Development with MongoDB and Node.js

, 2014
This book is designed for developers of any skill level that want to get up and running using Node.js and MongoDB to build full featured web applications.
Krol, Jason
core  

Chatting Towards Inclusivity: A Digital Approach to Inclusion Action Plans and Leader Development

Human Resource Management, Volume 65, Issue 2, Page 605-630, March/April 2026.
ABSTRACT Inclusion is a cornerstone of success for organizations and society, yet inclusion is not guaranteed. Building on inclusive leadership research and relational models theory, we argue that inclusion cannot manifest without systematic effort and planning by leaders.
Vindhya Singh, Jessi Mariah Rivin, H. Phoenix van Wagoner, Ksenia Keplinger, Jay Barbuto   +4 more
wiley   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 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  

Machine Learning Toolkits and Frameworks for Materials Design

WIREs Computational Molecular Science, Volume 16, Issue 2, March/April 2026.
Integrated machine learning toolkits for high‐throughput materials design. Major platforms for data acquisition, feature engineering, model development, interpretability, and automated workflows are summarized. Emerging directions include foundation models, self‐supervised learning, and next‐generation autonomous laboratories.
B. Moses Abraham, Yury Gogotsi
wiley   +1 more source