Map showing the location of the sampling sites of the Hulun Buir Sandy Land in China in Inner Mongolia, China. by Chengchen Pan (287383)

Subjects:

Statistical analysis of differences in the soil bacterial and fungal communities between mobile and fixed dunes. by Chengchen Pan (287383)

Subjects:

The vegetation and soil properties of mobile and fixed dunes. by Chengchen Pan (287383)

Subjects:

Literature comparison. by Saravanan Manoharan (21273304)

Subjects:

Validation of punch with timestamp: (a) Jab (b) Hook (c) Uppercut. by Saravanan Manoharan (21273304)

Subjects:

Flow chart of proposed system. by Saravanan Manoharan (21273304)

Subjects:

IMU raw data: (a) 3-DoF accelerometer data (b) 3-DoF gyroscope data. by Saravanan Manoharan (21273304)

Subjects:

Model testing results across different boxers with 15% of training dataset. by Saravanan Manoharan (21273304)

Subjects:

Expert annotation of uncertain instances to refine model training. by Saravanan Manoharan (21273304)

Subjects:

Literature review. by Saravanan Manoharan (21273304)

Subjects:

IMU data and video synchronization. by Saravanan Manoharan (21273304)

Subjects:

Punch types and its kinematics: (a) No punch (b) Long-range rear jab to head (c) Mid-range rear hook to head (d) Mid-range rear uppercut to head. by Saravanan Manoharan (21273304)

Subjects:

Combined Confusion matrix: (a) Rear hand punch recognition (b) Lead hand punch recognition. by Saravanan Manoharan (21273304)

Subjects:

Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

Subjects:

Combined Confusion matrix: (a) Rear hand punch classification (b) Lead hand punch classification. by Saravanan Manoharan (21273304)

Subjects:

Accuracy metrics with different percentage of the training dataset. by Saravanan Manoharan (21273304)

Subjects:

ROS reduces the expression of Akt3, WDR12 and Aurora B leading to micronuclei. by Zachary J. Hough (20840430)

Subjects:

ZM Modifier. by Yining Wang (432154)

“…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”

Factor-level. by Yining Wang (432154)

“…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”

Gradation composition of asphalt mixture. by Yining Wang (432154)

“…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”