Decrease in loss during the training process. by Muhammad Idrees (92773)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Subjects:

Block diagram for Average Value-based irrigation system. by Gourab Saha (8987405)

Subjects:

Flow chart of Average Value-based control system. by Gourab Saha (8987405)

Subjects:

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

Subjects:

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

Subjects:

Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

Subjects:

The refracted opposition-based learning mechanism. by Yang Guo (399435)

Subjects:

Trend of ANC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

Subjects:

WBC and ANC on day 7 post-chemotherapy. by Lu Yang (30847)

“…The leukocyte and neutrophil counts of the patients in the bone pain group were significantly higher than those of the patients in the no bone pain group, P(WBC) = 0.001, P(ANC) = 0.002.</p><p>Conclusions</p><p>The preventive use of PEG-rhG-CSF decreases the incidence of neutropenia in patients undergoing concurrent chemoradiotherapy for NPC, thereby reducing rates of chemotherapy delays and radiotherapy interruptions, with mild adverse reactions that are tolerable by patients.…”

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Differences between extreme values of different indicators. by Weijia Zhu (65481)

Subjects:

Table of values for <i>p.</i> by Long Di (9977453)

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot’s motion strategy and reduce tracking errors. Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Statistic STD values of different satellite systems. by Jiang Li (272926)

Subjects:

RMSE versus learning rate. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. …”

Results of segmented linear regression model, ANC attendances. by Yaw Nyarko Opoku-Boateng (20477302)

Mean parameter values for the selected crops. by Gourab Saha (8987405)

Subjects: