Classification and quantification of full vs. empty adeno-associated virus reference capsids via infrared attenuated total reflection spectroscopy. [PDF]
Lehner S +7 more
europepmc +1 more source
HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning
Modern distributed applications rely on virtualized infrastructures to elastically meet their performance requirements. In this setting, autoscaling enables elastic adaptations at runtime.
Furutanpey, Alireza; orcid: +3 more
core +1 more source
Infrared Spectroscopy for Variety Identification and Authenticity Analysis of Tobacco Samples. [PDF]
Deconinck E +3 more
europepmc +1 more source
A Fully Decentralized Autoscaling Algorithm for Stream Processing Applications
International audienceStream Processing deals with the efficient, real-time processing of continuous streams of data. Stream Processing engines ease the development and deployment of such applications which are commonly pipelines of operators to be ...
Belkhiria, Mehdi, Tedeschi, Cédric
core
Exploring Environmental Element Monitoring Data Using Chemometric Techniques: A Practical Case Study from the Tremiti Islands (Italy). [PDF]
Russo RE +5 more
europepmc +1 more source
Botanical Authentication Using One-Class Modeling. [PDF]
Harnly J.
europepmc +1 more source
Advancements in Artificial Intelligence-Based Diagnostic Tools Used to Detect Fungal Infections: A Systematic Review. [PDF]
Albuqami NM +6 more
europepmc +1 more source
Performance and viability analysis of deploying cloud-native 5G autoscaling platforms
5G mobile network technology is undergoing rapid deployment. Autoscaling in 5G refers to the dynamic allocation and removal of network functions based on real-time service demand.
Ren, Yi +4 more
core
Self-adaptive trade-off decision making for autoscaling cloud-based services
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.
Rami Bahsoon (7401395) +1 more
core
Optimizing unsupervised clustering of electrochemical impedance spectra via normalization and dimensionality reduction. [PDF]
Martinez S +3 more
europepmc +1 more source

