Results 71 to 80 of about 7,827 (163)

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

MongoDB kompakt

, 2023
Die Dokumentendatenbank MongoDB ist das am weitesten verbreitete NoSQL-Datenbanksystem. Dieses kompakte Werk präsentiert MongoDB von der Installation bis zur Administrierung in großen Rechenclustern.
Schildgen, Johannes
core   +1 more source

An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks

Big Data Mining and Analytics
The current large-scale Internet of Things (IoT) networks typically generate high-velocity network traffic streams. Attackers use IoT devices to create botnets and launch attacks, such as DDoS, Spamming, Cryptocurrency mining, Phishing, etc.
Selvam Saravanan, Uma Maheswari Balasubramanian   +1 more
doaj   +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

gCube 4.3.0 - Document Store MongoDB v. 1.1.1

, 2017
<p> The gCube System - Document Store MongoDB<br> --------------------------------------------------<br> <br> Document Store MongoDB Implementation<br> <br> <br> This software is part of the gCube Framework ...
Luca Frosini, Roberto Cirillo (5203834), Roberto Cirillo, Luca Frosini (5206879)   +3 more
core   +1 more source

NOSQL FOR STORAGE AND RETRIEVAL OF LARGE LIDAR DATA COLLECTIONS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely accepted source of geospatial information. This in turn has led to an enormous growth in data volume.
J. Boehm, K. Liu
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

Integration of deep learning and IIoT for automated soil moisture management in precision agriculture

Soil Science Society of America Journal, Volume 90, Issue 3, May/June 2026.
Abstract The rapid evolution of Industry 4.0 has led to the adoption of Industrial Internet of Things (IIoT) in various sectors, including manufacturing and smart agriculture. The integration of real‐time monitoring, predictive analytics, and intelligent decision‐making has transformed the large‐scale smart agriculture into a data‐driven and automated ...
Ayesha Ahmed Dhool, Arshad Aziz, Muhammad Usama, Nazik Alturki, Nada Alasbali, Mujeeb Ur Rehman   +5 more
wiley   +1 more source

Leveraging MongoDB in Real-Time Emotion Recognition from Video for Scalable and Efficient Data Handling

Engineering Proceedings
Real-time emotion recognition from video poses significant challenges in handling large-scale and continuously growing datasets. Traditional relational databases often fail to meet the scalability and efficiency requirements of such applications. MongoDB,
Haikal Muhammad Kurniawan, Muhammad Maulidan, Muhammad Faisal Zulmaulidin, Alun Sujjada   +3 more
doaj   +1 more source