Effect of post-processing threshold and algorithms performance on the species composition estimation. by Valentine Fleuré (12822137)

“…<p>Estimation of the species composition as a function of post-processing threshold for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors) for 1 frame per second processing rate. …”

The GTO algorithm process. by Yulin Li (36434)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

Effect of post-processing threshold and algorithms performance on the communities abundance-structure estimation. by Valentine Fleuré (12822137)

“…<p>Estimation of abundance-structure as a function of post-processing threshold for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors) for 1 frame per second processing rate. …”

Post-processing stage. by Yubraj Gupta (7465394)

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

BM3D algorithmic process. by Xiyu Zheng (21703063)

Effect of post-processing model outputs on biodiversity estimates. by Valentine Fleuré (12822137)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

Algorithm testing. by Ziad M. Ali (12516532)

Subjects:

TB screening and diagnostic algorithm. by Arangba S (21656068)

Convergence curves of the investigated algorithms. by Ziad M. Ali (12516532)

Subjects:

Data collision free processing unit. by Ayesha Waris (21368446)

Performance of the U-Net model with CellProfiler post-processing for detection and area determination of respiratory organoids on new data. by Anna Demchenko (18449439)

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

Description of traditional RRT path (red color) and post processed RRT path (green color). by Hung Nguyen (792999)

Table 1_Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs.docx by Gabriel Osei Forkuo (16752444)

“…To extract volume data, point clouds require several post-processing steps, while their outcome may depend largely on human input and operator decision. …”

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. by Tarun Khajuria (12117309)

Pipeline for mean shape based post-processing method. by Zhicheng Lin (218641)

“…In the final step, the two shapes underwent deformable registration in ShIRT, and the registered mean shape was retained as the post-processing segmentation results (c-1/2/3).</p>…”

Risk element category diagram. by Yao Hu (3479972)