Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Displacement cloud maps. by Maogang Tian (21485116)

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

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Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

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Cephalometric measurement points. by Lijuan Liu (136685)

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Displacement cloud map (geology). by Hui Cheng (195456)

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 1. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 6. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 5. by Hongliang Zou (20707270)

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HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

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The technical route of the study. by Hongliang Zou (20707270)

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Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

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Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

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Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

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Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

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Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [10], Fig 1].... by Folashade B. Agusto (3663010)

“…[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>], Fig 1]. …”

Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

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Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

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Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

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