Probability density of each bin of accuracy. by Virgil Christian Garcia Castillo (19688355)

Subjects: “…morphological image processing…”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

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

Subjects:

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

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …”

Algorithm process. by Wei Cui (92129)

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

The Search process of the genetic algorithm. by Wenguang Li (6528113)

Subjects:

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects:

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Overview of CINner’s mathematical model and simulation algorithm. by Khanh N. Dinh (20549532)

“…Focal amplification and deletion target a random region on a random chromosome arm, and either doubles the CN across all bins in that region (amplification, yellow bins) or resets the CN with 0 (deletion, blue bins). …”

Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

“…Finally, we demonstrate effectiveness of our estimation method in practical applications using a set of real data.</p></div>…”

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

S1 Data - by Bin Sun (210373)

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

The flowchart of GWO-VMD method. by 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. by Jiaqi Wang (369548)

Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx by 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.…”

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

Subjects:

Optimize process data and final results by Dawei Wang (471687)

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

Subjects: