Results 61 to 70 of about 2,745 (218)
Evaluating Stabilizers Effects on Aroma Release Dynamics in Ice Cream: A PTR‐ToF‐MS Analysis
Journal of Mass Spectrometry, Volume 61, Issue 8, August 2026.ABSTRACT Capturing the dynamic volatilome of frozen matrices during phase transitions remains an analytical challenge, typically requiring invasive sampling. This study employs proton transfer reaction time‐of‐flight mass spectrometry (PTR‐ToF‐MS) as a rapid, noninvasive technique that directly samples headspace volatiles without preconcentration to ...
Camila Cossettin Teixeira +6 more
wiley +1 more source
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud [PDF]
, 2022 Predictive autoscaling (autoscaling with workload forecasting) is an important mechanism that supports autonomous adjustment of computing resources in accordance with fluctuating workload demands in the Cloud. In recent works, Reinforcement Learning (RL)
Wang, Shijun +13 more
core +2 more sources
Differentiation of Plant and Animal‐Derived Cholesterol Using irm‐13C NMR and IRMS
Magnetic Resonance in Chemistry, Volume 64, Issue 8, Page 701-708, August 2026.Determining and certifying the origin of ingredients, starting materials, and excipients used in manufactured goods like cosmetics and medicines can be difficult. In this report, we describe a robust approach for identifying the origin of cholesterol, a component of myriad consumer products using irm‐13C NMR and IRMS to differentiate plant versus ...
Anika M. Singh +3 more
wiley +1 more source
Optimizing the Resource Utilization in Cloud Computing Environment with Autoscaling using Machine Learning Methods [PDF]
, 2023 In the rapidly evolving cloud ecosystem, maintaining service levels while optimizing resource utilization is paramount. Autoscaling is a technique that can be used to dynamically adjust the resources allocated to an application to meet demand.
Shettihalli Anandreddy, Sri Madhan
core
Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration
Sensors, 2020 Kubernetes, an open-source container orchestration platform, enables high availability and scalability through diverse autoscaling mechanisms such as Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler and Cluster Autoscaler. Amongst them, HPA helps
Thanh-Tung Nguyen +4 more
doaj +1 more source
Analysis &Sensing, Volume 6, Issue 4, July 2026.This study presents a multimatrix untargeted metabolomics analysis of fecal, plasma, and urine samples from individuals at high risk for pancreatic cancer development. Integrated multivariate and cofactor‐adjusted models were applied to characterize cross‐matrix metabolomic associations, incorporating pancreatic magnetic resonance imaging data, sex ...
Vladyslav Dovhalyuk +6 more
wiley +1 more source
Towards coordinated autoscaling and application brownout at the orchestrator level [PDF]
, 2020 Modern cloud applications are expected to continuously provide adequate performance, withstanding changing workloads, heterogeneous hardware, and unpredictable infrastructure failures.
Ivan Kotegov +3 more
core +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.Carbon quantum dots engineered through heteroatom doping and surface functionalization enable selective tetracycline sensing via fluorescence modulation. Integration of machine learning with portable sensing platforms enhances discrimination accuracy, matrix tolerance, and real‐world applicability for intelligent antibiotic monitoring in food and ...
Mohamed Abu Shuheil +8 more
wiley +1 more source
Self-aware and self-adaptive autoscaling for cloud based services [PDF]
, 2016 Modern Internet services are increasingly leveraging on cloud computing for flexible, elastic and on-demand provision. Typically, Quality of Service (QoS) of cloud-based services can be tuned using different underlying cloud configurations and resources,
Chen, Tao
core
Practical Efficient Microservice Autoscaling with QoS Assurance [PDF]
, 2022 Cloud applications are increasingly moving away from monolithic services to agile microservices-based deployments. However, efficient resource management for microservices poses a significant hurdle due to the sheer number of loosely coupled and ...
Islam, Mohammad A. +2 more
core