Controller workload, airspace capacity and future systems
, 2003 In air traffic control (ATC), controller workload – or controller mental workload – is an extremely important topic. There have been many research studies, reports and reviews on workload (as it will be referred to here).
Brooker, Peter
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Effect of physical and mental workload interactions on human attentional resources and performance [PDF]
, 2012 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Due to publisher copyright restrictions one appendix has not been included in this record.
Basahel, Abdulrahman
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Pre-tactical trajectory compatibility determination to reduce air traffic controllers' tactical workload [PDF]
, 2012 The current Air Traffic Management (ATM) system, based on principles established more than 50 years ago, is starting to show clear signs of saturation. This fact.
Portillo, Yolanda
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ORBIT-AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age-Related Macular Degeneration in Multi-Cohorts. [PDF]
Adv Sci (Weinh)Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Cui X, Wen D, Yu-Wai-Man P, Li X.
europepmc +2 more sources
A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment [PDF]
EAI Endorsed Transactions on Energy Web, 2020 Auto-scaling systems help provisioning resources on demand which helps tap into the elastic nature of the cloud. Theapplications hosted on the cloud tend to face workload surges which causes the response to be slow or denied.
Yuvha R, Sathiyamoorthy E
doaj +1 more source
Energies, 2023 Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and resource elasticity. However, the workload prediction accuracy in the cloud data center could be better due to noise, redundancy, and low performance for ...
Thirumalai Selvan Chenni Chetty +7 more
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Age differences in perceived workload across a short vigil [PDF]
, 2002 The main objective of this research was to investigate age differences in the perceived workload associated with the performance of a demanding, high event rate, vigilance task.
Sisa, L, Bunce, D
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IEEE Access, 2021 With the advancement of cloud computing technologies, there is an ever-increasing demand for the maximum utilization of cloud resources. It increases the computing power consumption of the cloud’s systems.
Md. Ebtidaul Karim +3 more
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A STACKED GENERALIZATION BASED META-CLASSIFIER FOR PREDICTION OF CLOUD WORKLOAD [PDF]
ICTACT Journal on Soft ComputingCloud computing has revolutionized the way software, platforms, and infrastructure can be acquired by making them available as on-demand services that can be accessed from anywhere via a web browser.
Sanjay T. Singh, Mahendra Tiwari
doaj +1 more source
HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network
Cybernetics and Information Technologies, 2020 For cloud providers, workload prediction is a challenging task due to irregular incoming workloads from users. Accurate workload prediction is essential for scheduling the resources to the cloud applications.
Kumar K. Dinesh, Umamaheswari E.
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