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. …”

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

Side angle tea picking. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Thematic clouds for lectures. by Ignacio García-Espona (21395335)

Displacement cloud maps. by Maogang Tian (21485116)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

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

Subjects:

Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

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

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

<i>r</i>² values for <i>α</i> relationships. by James Cushway (19942288)

Word cloud with key elements of an Active Learning Classroom. by Mairena Sánchez-López (684092)

The multiple criteria qualitative value-based pricing framework “MARIE” for new clinical status by Akina Takami (16407200)

TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Precision, recall, F1-Score curve. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Data augmentation. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Comparison results of ablation experiments. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”

Table of dataset division. by Chunhua Yang (346871)

“…Furthermore, Precision, Recall, and mAP have all increased by 7.1%, 6.69%, and 6.78% respectively. Moreover, the AP values for single bud, one bud and one leaf, and one bud and two leaves have seen improvements of 6.10%, 7.99%, and 8.28% respectively. …”