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

“…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. …”

Static obstacle avoidance scene setup. by Long Di (9977453)

“…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. …”

The schematic diagram of the region <i>O</i>₁. by Long Di (9977453)

“…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. …”

Obstacle avoidance trajectory generation process based on DMP (for specific trajectory point data, please refer to the attachment ‘S5 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

Static obstacle avoidance trajectory analysis (for specific trajectory point data, please refer to the attachment ‘S1 Table.xlsx’. For detailed descriptions of the data, please see... by Long Di (9977453)

Obstacle avoidance trajectory generation process based on the method in this paper (for specific trajectory point data, please refer to the attachment ‘S3 Table.xlsx’. For detailed... by Long Di (9977453)

Obstacle avoidance trajectory generation process based on iAPF (for specific trajectory point data, please refer to the attachment ‘S4 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in complex motion scenarios with obstacles (for specific trajectory point data, please refer to the attachment ‘S6... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in obstacle accelerated motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7 T... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in obstacle deceleration motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7... by Long Di (9977453)

Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”

<b>Human disturbance alters the foraging and spatiotemporal activity of a large carnivore</b> by Gonzalo Barceló (10117075)

“…Responses to human disturbance were generally consistent across sites, with pumas adjusting their temporal, spatial, and foraging axes to decrease encounters with humans. Our results suggest that human-disturbed landscapes across regions alter the primary niche axes of pumas to construct a new realized niche in human landscapes, which may have important consequences for their ecological interactions and the functional role of this large carnivore.…”

The normal force between two particles with different equivalent diameters for P3: (a) hertznormal contact force; (b) normal viscous contact force. by Yongfeng Zhu (7361045)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

The tangential force between two particles with different equivalent diameters for P3: (a) elastic tangential contact force; (b) viscous tangential contact force. by Yongfeng Zhu (7361045)

Timeline of the respiratory panel showing wastewater influenza A and B virus, RSV A and B detections, alongside national surveillance weekly positivity rates, at (a-d) site 4 (univ... by Jay C. Bullen (10232606)

Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

“…Areas of cell somas in the heterogeneous BrdU-/Hu+ group are significantly smaller in the statin-treated (light blue line) group compared to soma areas in controls (dark blue line, bottom panel). Statin treatment decreased cell sizes in the larger cells more than in the smaller cells as seen in the greater divergence between lines plotted for larger cell somas (bottom panel). …”

The normal force between two particles with De = 6.30 mm for different aspect ratios and sphericities: (a) hertz normal contact force; (b) normal viscous contact force. by Yongfeng Zhu (7361045)