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.…”

AdMSC-EVs enhanced colony formation and migration of LECs and decreased proliferation. by Xiaoqin Li (1399105)

Mode shapes of the first six modes. by Xueting Ma (390540)

Stepped-Wedge Trial Diagram. by Sugy Choi (800862)

“…In New York State, synthetic opioids significantly contribute to the increasing overdose deaths, disproportionately impacting Black and Latinx communities. …”

Preparation of uniaxial compression and Brazilian tension test specimens: (a) core drilling; (b) specimen preparation; (c) completed test specimens. by Hong Zhang (25820)

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Testing equipment and typical specimen failure modes: by Hong Zhang (25820)

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Soft phyllite specimens at different degrees of weathering: (a) strongly weathered; (b) weakly weathered; (c) slightly weathered. by Hong Zhang (25820)

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Schematic of the actual failure cross-sectional area. by Hong Zhang (25820)

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Schematic for measuring <i>D</i> and <i>D</i>′ values. by Hong Zhang (25820)

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Specimen <i>D</i> ranges at different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Histogram of the area factorψ. by Hong Zhang (25820)

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Statistical results for <i>I</i>_s, Δ<i>D</i>, and <i>α</i> after outlier removal. by Hong Zhang (25820)

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Point load strength apparatus: (a) before modification; (b) after modification. by Hong Zhang (25820)

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Schematic of calculation for the point load strength. by Hong Zhang (25820)

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Relationship between <i>D</i> on <i>I</i>_s at different weathering levels (R²: 0.82, 0.89, 0.93 for highly, moderately, and slightly). by Hong Zhang (25820)

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