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Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.This study provides a comprehensive review of predictive maintenance in aviation, emphasising the integration of digital twin technology, engineering data management and AI algorithms. It highlights how data‐driven approaches enhance safety, reduce costs and improve aircraft reliability through real‐time monitoring, fault detection and remaining useful
Saber Mehdipour +6 more
wiley +1 more source
The Development of a Benchmark Tool for NoSQL Databases [PDF]
Database Systems Journal, 2013 The aim of this article is to describe a proposed benchmark methodology and software application targeted at measuring the performance of both SQL and NoSQL databases.
Ion LUNGU, Bogdan George TUDORICA
doaj
Analysis of query execution speed in the selected NoSQL databases
Journal of Computer Sciences Institute, 2018 The scientific article deals with a comparison of the query speed of two NoSQL databases. Described databases will be MongoDB and CouchDB. The work presents speed comparisons of such queries as adding data to the database, editing database data, deleting
Wojciech Bolesta
doaj +1 more source
EVECTOR: An Orchestrator for Analysing Attacks in Electric Vehicle Charging Systems
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.In this paper, we propose a novel EV orchestration framework: EVECTOR, which addresses the limitations of existing simulation systems by enabling both quantitative and qualitative analyses of EV charging scenarios. EVECTOR also provides a flexible attack orchestrator to simulate realistic attack behaviours on EV charging infrastructure. We validate the
Devki Nandan Jha +11 more
wiley +1 more source
Intelligent Parking Service Integration for Dynamic Urban Areas
The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.• Parking has become a major issue, leading to traffic congestion, environmental pollution and wasted time in urban areas, especially in developing countries. • This work proposes a comprehensive intelligent parking service framework that incorporates edge–cloud data architecture, business process modelling and predictive analytics embedded within ...
Quang Tran Minh +3 more
wiley +1 more source
Evolving NoSQL Databases without Downtime [PDF]
2016 IEEE International Conference on Software Maintenance and Evolution (ICSME), 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 the format or organization of the data.
Karla Saur +2 more
openaire +4 more sources
Skin Diseases Classification Using Transfer Learning Model: Case Study of Tropical Regions
The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.This paper proposes an AI‐assisted preliminary screening tool designed to support clinical decision‐making, particularly in settings with limited dermatologist access. The model addresses diagnosis challenges in tropical regions where the number of doctors per patient is very insufficient.
Diderot Jordan Anafack +6 more
wiley +1 more source
The Transition from RDBMS to NoSQL. A Comparative Analysis of Three Popular Non-Relational Solutions: Cassandra, MongoDB and Couchbase [PDF]
Database Systems Journal, 2014 NoSQL databases were built in the need to deal with the increasing amount of complex data (Big Data), required in real-time web applications, and are mostly addressing some of these points: the focus on availability over consistency, horizontally ...
Cristina BAZAR, Cosmin Sebastian IOSIF
doaj
Using NoSQL databases in the 3D cadastre domain [PDF]
Geodetski Vestnik, 2017 The 3D cadastre concept brings data models, which are more complex than traditional 2D cadastral data models and could be followed by a large amount of data.
Nenad Višnjevac +4 more
doaj +1 more source
International Journal of Digital Multimedia Broadcasting, Volume 2026, Issue 1, 2026.The heterogeneity of the network at the edge creates unequal bandwidth availability for clients connected through diverse networks and devices. This variability can lead to bandwidth fluctuations and slow response times, resulting in buffering or degraded streaming performance.
Reza Kalan +3 more
wiley +1 more source