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. …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

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

“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”

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

“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”

K-means results. by Fei Zhang (85787)

“…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”

Displacement cloud maps. by Maogang Tian (21485116)

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

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Disrupting the PI3K complex decreases the antiviral activity of autophagy. by Ruonan Zhang (358761)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

“…Brown color represents NF-kB p65 positive staining. The percentage of positive staining for NF-kB p65 (E). …”

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

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Supplementary file 1_Identifying early blood glucose trajectories in sepsis linked to distinct long-term outcomes: a K-means clustering study with external validation.docx by Huan Ma (713125)

“…Distinct clusters were demarcated using K-means clustering based on the BG trajectory within the first 48 hours after ICU admission, while the optimal number of clusters was determined by a consensus of quantitative metrics and the elbow plot. …”

IRE1 depletion decreases heterochromatin, DNA, and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

MAP3K1, MAPK11, and PPP2R1A knockdown decreased ECM internalisation. by Montserrat Llanses Martinez (17797522)

Image 1_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

“…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”

Image 2_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

“…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”

Table 1_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.docx by Junpeng Qiao (11726521)

“…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”

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

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