Results 1 to 10 of about 6,115 (144)

From freshness to preservation: insights into processing and storage impacts on purple passion fruit volatilome. [PDF]

J Sci Food Agric
Abstract BACKGROUND Purple passion fruit is highly appreciated for its distinctive sweet flavour, low acidity, and aromatic profile, making it a desirable choice for fresh consumption and juice production. To ensure microbiological safety and extend shelf life, juice products typically undergo thermal pasteurization, which can alter their ...
Fonseca AM, Pinto CA, Saraiva JA, Silvestre AJ, Rocha SM.   +4 more
europepmc   +2 more sources

Feasibility of Depth-in-Color En Face Optical Coherence Tomography for Colorectal Polyp Classification Using Ensemble Learning and Score-Level Fusion. [PDF]

J Biophotonics
This study shows that depth‐in‐color optical coherence tomography, paired with deep learning, can accurately identify which colorectal polyps are harmless and which may lead to cancer. Meeting clinical accuracy benchmarks, this approach could enable faster, less invasive decisions during colonoscopy—helping doctors remove polyps or safely leave them in
Thrapp AD, D'Mello S, Pitris C, Photiou C, Lamphier G, Villareyna-Lopez E, Chung A, Grant C, Schulz-Hildenbrandt H, Caravaca-Mora O, Miller T, Song DR, Khalili H, Nishioka NS, Tearney G.   +14 more
europepmc   +2 more sources

MagicScaler:Uncertainty-aware, Predictive Autoscaling

Proceedings of the VLDB Endowment, 2023
Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba Cloud’s computing platforms, which dynamically adjust the Elastic Compute Service (ECS) instances based on predicted user demands to ensure Quality of Service (QoS).
Pan, Zhicheng, Wang, Yihang, Zhang, Yingying, Yang, Sean Bin; id_orcid 0000-0001-7819-2290, Cheng, Yunyao; id_orcid 0000-0002-1819-4056, Chen, Peng, Guo, Chenjuan, Wen, Qingsong, Tian, Xiduo, Dou, Yunliang, Zhou, Zhiqiang, Yang, Chengcheng, Zhou, Aoying, Yang, Bin; id_orcid 0000-0002-1658-1079   +13 more
openaire   +3 more sources

Wide Area Network Autoscaling for Cloud Applications [PDF]

Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration, 2021
Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, which automatically adjusts cloud resources (compute, memory, storage) in order to adapt to the demands of applications.
Serracanta Pujol, Berta, Paillissé Vilanova, Jordi, Cabellos Aparicio, Alberto, Claiborne, Anna, Rodríguez Natal, Alberto, Ward, Dave, Maino, Fabio   +6 more
openaire   +2 more sources

Towards autoscaling of Apache Flink jobs [PDF]

Acta Universitatis Sapientiae, Informatica, 2021
Abstract Data stream processing has been gaining attention in the past decade. Apache Flink is an open-source distributed stream processing engine that is able to process a large amount of data in real time with low latency. Computations are distributed among a cluster of nodes.
Varga Balázs, Balassi Márton, Kiss Attila   +2 more
openaire   +2 more sources

Hyperspectral classification of Cyperus esculentus clones and morphologically similar weeds [PDF]

, 2020
Cyperus esculentus (yellow nutsedge) is one of the world's worst weeds as it can cause great damage to crops and crop production. To eradicate C. esculentus, early detection is key-a challenging task as it is often confused with other Cyperaceae and ...
Cool, Simon R., De Cauwer, Benny, Lauwers, Marlies, Nuyttens, David, Pieters, Jan   +4 more
core   +1 more source

Ruler Detection for Autoscaling Forensic Images [PDF]

International Journal of Digital Crime and Forensics, 2014
The assessment of forensic photographs often requires the calibration of the resolution of the image so that accurate measurements can be taken of crime-scene exhibits or latent marks. In the case of latent marks, such as fingerprints, image calibration to a given dots-per-inch is a necessary step for image segmentation, preprocessing, extraction of ...
Bhalerao, Abhir, Reynolds, Gregory
openaire   +1 more source

Continual Learning in Predictive Autoscaling

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Predictive Autoscaling is used to forecast the workloads of servers and prepare the resources in advance to ensure service level objectives (SLOs) in dynamic cloud environments. However, in practice, its prediction task often suffers from performance degradation under abnormal traffics caused by external events (such as sales promotional activities and
Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou   +9 more
openaire   +2 more sources

Burst-Aware Predictive Autoscaling for Containerized Microservices

IEEE Transactions on Services Computing, 2022
This work was partially supported by the European Research Council (ERC) under the EU Horizon 2020 programme (GA 639595), the Spanish Ministry of Economy, Industry and Competitiveness (TIN2015-65316-P and IJCI2016-27485) and the Generalitat de Catalunya (2014-SGR-1051).
Muhammad Abdullah, Waheed Iqbal, Josep Lluis Berral, Jorda Polo, David Carrera   +4 more
openaire   +3 more sources

Technical Report: A Trace-Based Performance Study of Autoscaling Workloads of Workflows in Datacenters [PDF]

, 2017
To improve customer experience, datacenter operators offer support for simplifying application and resource management. For example, running workloads of workflows on behalf of customers is desirable, but requires increasingly more sophisticated ...
Iosup, Alexandru, Neacşu, Mihai, Versluis, Laurens   +2 more
core   +3 more sources