Comparison of PSNR values of different algorithms. حسب Xiaojun Wang (50332)

الموضوعات:

Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

الموضوعات:

Comparison of SSIM values of different algorithms. حسب Xiaojun Wang (50332)

الموضوعات:

Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

الموضوعات:

Proposing sequence genetic distances with our local greedy algorithm when genomic sampling data is unavailable. حسب Hannah Waddel (21520023)

The process of creating the cluster-tree structure in the proposed method. حسب Shayesteh Tabatabaei (12280016)

Proposing sequence genetic distances with a local greedy algorithm when genomic sampling data is available for a transmission pair. حسب Hannah Waddel (21520023)

The workflow of the RF algorithm (the size of the training sample<i>S</i> is <i>N</i>; the sample has <i>M</i> features and the forest has <i>k</i> trees). حسب Zuzhen Ji (17593348)

Proposing sequence genetic distances with a locally greedy algorithm. حسب Hannah Waddel (21520023)

The weight optimization process. حسب Guomei Cui (20721578)

الموضوعات:

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

الموضوعات:

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"

Decision tree algorithms. حسب Mahbub E. Sobhani (22278967)

"…The experimental results, compared to data balancing methods such as under-sampling and over-sampling, exhibit superior performance of the Adaptive TreeHive with accuracy rates of 99.96%, 85.65%, 99.83%, 99.77%, and 95.54% on the NSL-KDD, UNSW-NB15, CIC-IDS2017, CSE-CIC-IDS2018, and CICDDoS2019 datasets, respectively, establishing the Adaptive TreeHive as a superior performer compared to the traditional ensemble classifiers.…"

bppMigration-algorithms-data.tgz حسب Ziheng Yang (22169779)

"…<p dir="ltr">Population phylogenomics uses sampled genomes to jointly infer population genetic processes (ancestral and contemporary population sizes, historical gene flow) and a phylogenetic tree relating species or populations including species divergence times. …"

Comparison of results based on CycleGAN method. حسب Xiaojun Wang (50332)

الموضوعات:

Algorithm process. حسب Wei Cui (92129)

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)

"…Introduction<p>The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.</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.…"

Decision tree construction process in Microsoft decision tree algorithm. حسب Liangzheng Wu (20501304)

The specific architecture of the FcaNet-cycleGan style transfer method. حسب Xiaojun Wang (50332)

الموضوعات:

The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)