# Parameter Estimation on Engine Gas Flow Dynamics Noisy normalized scale 0-1 (online test) Source: [Parameter Estimation on Engine Gas Flow Dynamics Noisy normalized scale 0-1 (online test)]() Collection index: [llms.txt]() Data updated: 2026-03-17T06:39:52.176Z Evaluation of model performance on the Parameter Estimation task using the Engine Gas Flow Dynamics Noisy normalized scale 0-1 dataset (online test split). Metrics include A\_egrmax, A\_vgtmax, η\_sc, and h\_tot. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Parameter Estimation | | Dataset (including any stated split) | Engine Gas Flow Dynamics Noisy normalized scale 0-1 (online test) | | Metric | A\_egrmax | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 5 of 5 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [A\_egrmax](): Higher is better; unit: SCALAR. - [A\_vgtmax](): Higher is better; unit: SCALAR. - [η\_sc](): Higher is better; unit: SCALAR. - [h\_tot](): Higher is better; unit: SCALAR. ## Recorded results | Method | A\_egrmax | Result date | Report paper | | --- | --- | --- | --- | | multi-stage transfer learning scheme | 1.004 | Not recorded | 68fa7bfb1e209131cea8b9cd | | multi-stage transfer learning scheme | 0.997 | Not recorded | 68fa7bfb1e209131cea8b9cd | | multi-stage transfer learning scheme | 0.952 | Not recorded | 68fa7bfb1e209131cea8b9cd | | multi-stage transfer learning scheme | 0.803 | Not recorded | 68fa7bfb1e209131cea8b9cd | | multi-stage transfer learning scheme | 0.793 | Not recorded | 68fa7bfb1e209131cea8b9cd | ### multi-stage transfer learning scheme A\_egrmax: 1.004. Result ID: 69b8f63a47f34ce924a0cc77. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"DURATION (MIN)":"3 ∼ 4","Data points per known variables":"301","Noise level":"pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%"}. This record does not assert independent reproduction. ### multi-stage transfer learning scheme A\_egrmax: 0.997. Result ID: 69b8f63a47f34ce924a0cc74. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"DURATION (MIN)":"0 ∼ 1","Data points per known variables":"301","Noise level":"pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%"}. This record does not assert independent reproduction. ### multi-stage transfer learning scheme A\_egrmax: 0.952. Result ID: 69b8f63a47f34ce924a0cc75. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"DURATION (MIN)":"1 ∼ 2","Data points per known variables":"301","Noise level":"pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%"}. This record does not assert independent reproduction. ### multi-stage transfer learning scheme A\_egrmax: 0.803. Result ID: 69b8f63a47f34ce924a0cc76. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"DURATION (MIN)":"2 ∼ 3","Data points per known variables":"301","Noise level":"pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%"}. This record does not assert independent reproduction. ### multi-stage transfer learning scheme A\_egrmax: 0.793. Result ID: 69b8f63a47f34ce924a0cc78. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"DURATION (MIN)":"4 ∼ 5","Data points per known variables":"301","Noise level":"pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.