Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Shape error manual calculation process. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Sliding window process. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

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

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

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

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Form for machine recognition. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

RMSE versus architectural parameters. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Kalman process. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Attention mechanism. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

Shape error measurement results statistics. by Zhe Hu (787283)

“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”

S1 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S3 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S2 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S5 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S6 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S4 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

S7 Data - by Renjie Wang (1986553)

“…Pn decreased significantly across treatments, with D1CK>D2>D3. …”

Merge dataset. by Mhairi Webster (20454888)

“…<div><p>Aims</p><p>To explore the prevalence of a mental health gender gap within a young adult sample during the COVID-19 pandemic, and to identify the impact of loneliness and domestic time use on young people’s, and particularly young women’s mental health.…”

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”