Results 61 to 70 of about 891,235 (284)
A NOVEL TRUE REAL-TIME SPATIOTEMPORAL DATA STREAM PROCESSING FRAMEWORK
Jordanian Journal of Computers and Information Technology, 2022 The ability to interpret spatiotemporal data streams in real-time is critical for a range of systems. However, processing vast amounts of spatiotemporal data out of several sources, such as online traffic, social platforms, sensor networks, and other ...
ATURE ANGBERA, HUAH YONG CHAN
doaj +1 more source
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Advanced Engineering Materials, EarlyView.Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
Grounding Stream Reasoning Research [PDF]
Transactions on Graph Data and KnowledgeIn the last decade, there has been a growing interest in applying AI technologies to implement complex data analytics over data streams. To this end, researchers in various fields have been organising a yearly event called the "Stream Reasoning Workshop"
Bonte, Pieter +14 more
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Advanced Engineering Materials, EarlyView.High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
SPinDP: A High-Speed Distributed Processing Platform for Sampling and Filtering Data Streams
Applied Sciences, 2023 Recently, there has been an explosive generation of streaming data in various fields such as IoT and network attack detection, medical data monitoring, and financial trend analysis.
Myeong-Seon Gil, Yang-Sae Moon
doaj +1 more source
Stream Fusion, to Completeness
, 2016 Stream processing is mainstream (again): Widely-used stream libraries are now available for virtually all modern OO and functional languages, from Java to C# to Scala to OCaml to Haskell. Yet expressivity and performance are still lacking.
ACM +8 more
core +1 more source
Handbook of Establishing and Maintaining Oxygen‐Free Atmospheres
Advanced Engineering Materials, EarlyView.This study presents a practical framework for creating oxygen‐free atmospheres at ambient pressure using silane‐doped inert gases. The results show that ultra‐low oxygen levels and strongly reduced water content can be achieved through controlled silane dosing, drying systems, and sensor monitoring.
Sascha Jan Zimmermann +3 more
wiley +1 more source
More on Pipelined Dynamic Scheduling of Big Data Streams
Applied Sciences, 2020 An important as well as challenging task in modern applications is the management and processing with very short delays of large data volumes. It is quite often, that the capabilities of individual machines are exceeded when trying to manage such large ...
Stavros Souravlas +2 more
doaj +1 more source
Stream Processing: The Matrix Revolutions [PDF]
, 2018 Analyzing data streams is a vital task in data science. Often, data comes in different shapes such as triples, tuples, relations, or matrices. Traditional stream processing systems, however, only process data in one of these formats. To enable the processing of streams combining different shapes of data, we developed a system that parses SPARQL queries
Pernischova, Romana +3 more
openaire +1 more source
Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior
Advanced Engineering Materials, EarlyView.Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski +2 more
wiley +1 more source