Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

الموضوعات:

Time-lapse microscopy movie from the bacterial mother machine test set processed by Cell-TRACTR and evaluated with the Cell Tracking Challenge (CTC) OP_CTB metrics. حسب Owen M. O’Connor (11965460)

Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)

DRN activity recorded with CMOS-based device after formalin injection. حسب Virgil Christian Garcia Castillo (19688355)

الموضوعات: "…interest determination algorithm…"

Algorithm comparison test results. حسب Hang Ren (1312905)

Variables tested in the ML algorithms. حسب Gilson Yuuji Shimizu (19837946)

Feature extraction model training process. حسب Fengning Liang (20927493)

"…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …"

Flowchart diagram illustrating the data analysis process using machine learning models. حسب Isabela Bittencourt Basso (14178739)

الموضوعات:

Algorithm testing environment settings. حسب Hua Song (113155)

Example of in vivo calcium imaging recording taken with implantable CMOS-based imaging device. حسب Virgil Christian Garcia Castillo (19688355)

الموضوعات: "…interest determination algorithm…"

The errors of the predictions based on different algorithm methods. حسب Zhang Wei (317854)

Test-grid from Xu & Tanenbaum. حسب Spencer Caplan (10188380)

الموضوعات:

Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf حسب Jan Benedict Spannenkrebs (20595722)

"…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. Although robotics can significantly speed up the data collection process, the collation and analysis of the resulting data, needed to reprogram and refine workflows for future iterations, is often a manual process. …"

Flow chart of the search process. حسب Lei Gao (6566)

"…The data were divided into training and test sets in a 7:3 ratio. Five machine learning algorithms -XGBoost, Random Forest(RF), Dicision tree(DT), K-Nearest Neighbor classification(KNN), and Naive Bayes(NB) were applied to construct the models, combined with logistic regression (LR) based on Lasso regression. …"

Comparison of some test results. حسب Guoqing Zhang (151441)

الموضوعات:

Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx حسب Hanyu Zhang (1425250)

"…</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…"

The flowchart of GWO-VMD method. حسب Zhenjing Yao (22189970)

"…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

Data after data processing. حسب Jiaqi Wang (369548)

Effects of processing rate and algorithms performance on estimates of biodiversity. حسب Valentine Fleuré (12822137)

الموضوعات:

DataSheet1_A novel strain-based bone-fracture healing algorithm is able to predict a range of healing outcomes.PDF حسب George T. Morgan (19867125)

"…This study introduces a novel, strain-based fracture-healing algorithm designed to predict a wide range of healing outcomes, including both successful unions and non-unions. …"