Sliding window process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Assembly error angle of a single spline. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Original record form of error matrix. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Form for machine recognition. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus architectural parameters. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Kalman process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Attention mechanism. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

The diagram shows the mean IC-volume of both sides as a function of age with the degree of hearing loss as defined in the methods from class 1 (normal to moderate in both ears) to... by Pingling Kwok (14896191)

Percent mortality (mean± SE) of aphid populations from four agroecological zones after ten days of exposure to six entomopathogenic fungal isolates in the laboratory at a concentra... by Aime Cheoh Enoh (20141758)

Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels. Data represented as mea... by Fatma A. Moharram (9276104)

Balance plot demonstrating adequate covariate entropy balancing using representative standard mean differences. by Amulya Vadlakonda (15449215)

Summary of snail survey effort and count data. Occupancy and counts are given as area averages across site means, with associated site mean ranges given in brackets. Note that both... by Roland Proud (11764892)

Subjects:

The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

The mean and standard error of fixation duration for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

The mean and standard error of fixation counts for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

Estimated variation in <i>R</i> <i>_t</i> (%, and its 95% CI) associated with other driving factors when the mean of serial interval was assumed 2 or 5 days and the end... by Wanqi Wen (20896573)

BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells. by Luqiong Liu (11537092)

Overexpression of TNFAIP9 alleviated the renal fibrosis caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 remitted the renal inflammation caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 suppressed inflammation in mouse peritoneal macrophages caused by 5/6 Nx in C57 mice. by Ying Chen (9697)