Results 81 to 90 of about 2,745 (218)

Detection of Spent Coffee Grounds Adulteration in Coffea by Infrared Fingerprinting and Chromatographic Profiling of Caffeine and Trigonelline

ChemistrySelect, Volume 11, Issue 27, 17 July 2026.
ABSTRACT The solid residue remaining after the solid–liquid extraction process in coffee preparation, commonly known as coffee grounds, has increasingly been reused as an adulterant, raising concerns regarding product authenticity and consumer safety.
Isabely Amadeu Montanha, Thiago da Silva Dias, Lycio Shinji Watanabe, Jaqueline Munise Guimarães da Silva, Maria Luiza Zeraik, Suzana Lucy Nixdorf   +5 more
wiley   +1 more source

OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud [PDF]

, 2023
Autoscaling is a vital mechanism in cloud computing that supports the autonomous adjustment of computing resources under dynamic workloads. A primary goal of autoscaling is to stabilize resource utilization at a desirable level, thus reconciling the need
Zou, Ding, Lu, Wei, Zhou, Jun, Wang, Xiaojin, Lu, Xingyu, Zhu, Zhibo, Wang, Kefan, Liu, Kangyu, Sun, Renen, Wang, Haiqing   +9 more
core   +1 more source

Context-Aware Autoscaling for Cost-Efficient Large Language Model Inference With Prefix Cache Integration

IEEE Access
Although granular resource management has been made possible by the architectural shift to Prefill-Decode (PD) disaggregation in Large Language Model (LLM) serving, it is still difficult to maintain strict Service Level Objectives (SLOs) under bursty ...
Seyed Hossein Ahmadpanah, Amir Sahafi, Seyed Hossein Erfani   +2 more
doaj   +1 more source

Validation of the IRI‐2020 Model Topside Ionosphere Options Through COSMIC‐1 and COSMIC‐2 Radio Occultation Profiles Collocated With Ionosonde Observations

Space Weather, Volume 24, Issue 7, July 2026.
Abstract This study validates the four topside ionosphere model options included in the latest release of the International Reference Ionosphere (IRI‐2020) model: IRI‐2001, IRI‐2001cor, IRI‐NeQuick, and the default IRI‐COR2. To assess their ability to reproduce the topside profile while minimizing uncertainties associated with F2‐layer peak modeling ...
A. Pignalberi, H. Haralambous, D. Bilitza, P. Coïsson, B. Nava, M. Pezzopane, F. Prol, A. Smirnov, D. R. Themens, C. Xiong   +9 more
wiley   +1 more source

Tuning a Kubernetes Horizontal Pod Autoscaler for Meeting Performance and Load Demands in Cloud Deployments

Applied Sciences
In the context of scaling a business-critical medical service that involves electronic medical record storage deployed in Kubernetes clusters, this research addresses the need to optimize the configuration parameters of horizontal pod autoscalers for ...
Dariusz R. Augustyn, Łukasz Wyciślik, Mateusz Sojka   +2 more
doaj   +1 more source

Performance Investigation of Four Ionospheric Models in Estimating hmF2 in High‐Latitude Regions

Space Weather, Volume 24, Issue 7, July 2026.
Abstract As a critical parameter characterizing the vertical structure of the ionosphere, the peak height of the F2 layer (hmF2) plays an essential role in frequency selection and signal propagation in high‐frequency (HF) communication systems. Accurate prediction of hmF2 is particularly important in high‐latitude regions.
T. Y. Li, Q. Yu, Y. F. Shi, C. Yang, J. Q. Fan, J. Wang   +5 more
wiley   +1 more source

Self-adaptive trade-off decision making for autoscaling cloud-based services [PDF]

, 2015
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.
Bahsoon, R, Rami Bahsoon (7401395), Chen, T, Chen, Tao, Bahsoon, Rami, Tao Chen (7050698)   +5 more
core   +1 more source

ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment

Journal of Telecommunications and Information Technology
Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency.
Shivan Singh, Narayan D.G., Sadaf Mujawar, G.S. Hanchinamani, P.S. Hiremath   +4 more
doaj   +1 more source

Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism

Digital Communications and Networks, 2020
Cloud platforms could automatically scale underlying network resources up and down in response to changes in the traffic load. Such an auto-scaling mechanism can largely enhance the elasticity and scalability of cloud platforms. However, it may introduce
Xiaoqiong Xu, Jin Li, Hongfang Yu, Long Luo, Xuetao Wei, Gang Sun   +5 more
doaj   +1 more source

Spectral Pattern of Chocolate Production: Early Detection of Quality Problems

Journal of Food Science, Volume 91, Issue 7, July 2026.
ABSTRACT Quality defects in chocolate can be classified as physicochemical quality problems and structural instability (blooming). Both problems can be detected after production and generally take time to become visible. Therefore, early detection tools are necessary to prevent economic losses in the food industry. In this study, FTIR spectra collected
Yağmur Küçükduman, İkra Doğa Korkmaz, Hüseyin Güray Çiftçi, Gökhan İpkin, Sinem Argün, Zeynep Pınar Kara, Gonca Bilge Özel, Özge Taştan Ülkü, Ömer Said Toker, Zeynep Mutlu   +9 more
wiley   +1 more source