Results 51 to 60 of about 7,062 (219)

Modular Adaptive Processing Infrastructure (MAPI): a blueprint for interconnecting generic workflows with modern interfaces

Journal of Synchrotron Radiation, EarlyView.
MAPI is a modular web‐based framework designed to unite legacy analysis code with heterogeneous backends (edge, on‐premises, high‐performance computing, cloud), dramatically accelerating data analysis workflows and offering a scalable flexible blueprint for modernizing synchrotron data analysis.In this paper, we introduce the Modular Adaptive ...
Aljoša Hafner, George Kourousias, Marco De Simone, Roberto Pugliese   +3 more
wiley   +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

The role of generative AI in collaborative problem‐solving of authentic challenges

British Journal of Educational Technology, EarlyView.
Abstract This study investigates undergraduate and postgraduate teamwork in a four‐week ‘Generative AI for Social Good’ hackathon, focusing on how students use GAI tools in authentic problem‐solving within their learning ecology. It examines the factors that foster productive collaboration and explores evidence of AI extending human cognition beyond ...
Nancy Law, Nan Wang, Ming Ma, Zhichun Liu, Leon Lei, Shuhui Feng, Xiao Hu, Jack Tsao   +7 more
wiley   +1 more source

Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation

European Journal of Dental Education, EarlyView.
ABSTRACT Introduction Advances in artificial intelligence (AI) have led to new possibilities for AI role‐play in classroom settings, where generative pre‐trained transformers (GPTs) and chatbots can potentially simulate interactions with patients.
Bree Jones, Aditya Desu, Christopher D. F. Honig   +2 more
wiley   +1 more source

"Evaluation of NoSQL Database MongoDB with Respect to JSON Format Data Representation "

International Journal of Research Publication and Reviews, 2022
The current information technology advancement is attributed to the development of more data-intensive applications. However, due to stringent limitations on data structure, data relations, and other factors, relational databases do not allow us to work ...
R. Byali, Mrs. E. V. N. Jyothi, M. Shekadar   +2 more
semanticscholar   +1 more source

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

International Endodontic Journal, EarlyView.
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

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

An AI‐Assisted Framework for Improving Innovativeness in Small Businesses: A Human–AI Collaboration Perspective

Information Systems Journal, Volume 35, Issue 6, Page 1603-1629, November 2025.
ABSTRACT Innovation is crucial for small businesses to remain competitive and adaptable in dynamic markets. Recent advancements in AI, particularly machine learning and natural language processing, offer promising tools for enhancing product innovation.
Kristijan Mirkovski, Pete Williams, Libo Liu, Hao Liu, Marta Indulska   +4 more
wiley   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, Volume 108, Issue 5, Page 392-403, September 2025.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source

DocDig: Dijitalleştirilmiş Dokümanlarda İçerik Tabanlı Figür Arama

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
Örüntütanıma psikolojiden biyometriye, biyoenformatikten gen ifadelerininanalizine, trafikten hesaplamalı finansa kadar birçok alandakullanılmaktadır. Optik Karakter Tanıma da bu alanlardan birtanesidir.
Süleyman Eken, Burak Atay, Büşra Ceren Sönmez, Ahmet Sayar   +3 more
doaj   +1 more source