iFAD∞ and other flow direction algorithms with test data by cheng (21018992)

“…<p dir="ltr">The Java codes for all the drainage direction algorithms used in the study entitled “A New Multiple Flow Direction Algorithm for Determining Limited Dispersive Domain Based on Flow Aggregation Technique” are provided as an Eclipse Java project. …”

Cliff’s delta effect size for all comparisons. by Everest U. Castaneda (21553580)

Actual vs predicted net demand for all three models. by Mohd Sakib (20565228)

Runtime analysis for B-ALL patient phylogenies. by Henri Schmidt (17364844)

Scatterplots of forward-backward perturbation equivalence points. by Shreya Jain (4498231)

<i>ℓ</i>₁ matrix error for B-ALL patient phylogenies. by Henri Schmidt (17364844)

Comparison of RWR with homologous species data against homologous semantic similarity measures. by Everest U. Castaneda (21553580)

Comparison of multi-species RWR data against single species semantic similarity measures. by Everest U. Castaneda (21553580)

Comparison of RWR against semantic similarity measures for single species data. by Everest U. Castaneda (21553580)

Comparison of semantic similarity scoring with single species data and multi-species data. by Everest U. Castaneda (21553580)

Comparison of RWR coupled with single species and multi-species data sources. by Everest U. Castaneda (21553580)

Combination performance of each single caller and combination strategy in detecting DELs and INSs using the ‘neighboring SV method’ and ‘directly merge method’. by De-Min Duan (20685513)

“…The ’neighboring SV method’ is explained in the ’Combination strategies of multiple algorithms’ section of the Methods, while the ’directly merge method’ involves merging all caller results into one VCF file before calculating the F1 score.…”

Fig 13 - by Mohd Sakib (20565228)

The workflow of Algorithm 2 with the example in by Badhan Das (7434362)

Results for COPD. by Eric V. Strobl (16854789)

“…<p>(A) TWRCI outperformed all other combinations of algorithms in direct causal annotation and graph reconstruction by achieving the lowest MACR; error bars correspond to one standard error of the mean in accordance with the one standard error rule of cross-validation [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013461#pcbi.1013461.ref031" target="_blank">31</a>]. …”

SimSPPF module structure. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

mAP@0.5 results. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

YOLOv8n network architecture diagram. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Radar parameters. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”

Confusion matrix of the improved model. by Mengqi Yuan (4852555)

“…<div><p>Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. …”