"workload estimation" is a correct and commonly used phrase in written English.
It refers to the process of predicting or estimating the amount of work that is required for a specific task or project. Example: Before starting a new project, the team conducted a workload estimation to determine how much time and resources would be needed to complete the project within the given timeline.
The novelty of the PGGA is two-fold: (1) a job workload estimation algorithm is designed to estimate a job workload based on its historical execution records and (2) the divisible load theory (DLT) is employed to predict an optimal fitness value by which the PGGA speeds up the convergence process in searching a large scheduling space.
In this paper, a novel hybrid method for measuring driver workload estimation for real-world driving data is proposed.
To address this challenge, this paper presented a view towards the novel application of cepstrum analysis in workload estimation.
A human model incorporating physical and mental workload estimation is proposed, into which knowledge bases and procedures for monitoring and fault diagnosis have been built.
Using deeply recurrent neural networks to account for temporal dependence in electroencephalograph (EEG -based workload EEG -based is showorkloadnsidestimationrove day-to-day feature statisnarity reshownng in significantoy higher aconsiderably.0001) than classimprovewhich do not consider the temporal dependence encoded within the EEG time-series signal.
The longer the sensing window, the better is the workload estimation but the more overhead will the sensing bring up.
1146 nursing workload estimations were gathered.
Just abandoning workload estimations altogether out of frustration would lead us to ignore risk, making it even harder to contain.
Quantitative measurements of heat stress, workload estimations, and clothing testing, and qualitative information on health impacts, productivity loss, etc., were collected.
Such metrics include application workload, execution time estimation, disk or memory space availability, etc.
The disadvantage of this arbitrary location configuration is that it will increase the computation workload of the estimation algorithm.
