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)

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Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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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)

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

“…Next, we select the gamma distribution as the prior distribution and apply the Lindley approximation algorithm to calculate `estimates of Shannon entropy and Rényi entropy under different loss functions including Linex loss function, entropy loss function, and DeGroot loss function respectively. …”

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

Comparison of ground truth position of simulated neurons with different firing patterns and ROI selection by algorithm. by Virgil Christian Garcia Castillo (19688355)

Subjects: “…morphological image processing…”

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

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

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A. Receiver-operator curve (ROC) for the prediction of class 0 (area above range is lower the next day). by Jamison H. Burks (21029607)

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

Comparison based on hard instances from [79]. by Xiang Tian (4369285)

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The structure of FasterNext. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”

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

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)

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

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Parameters of the FasterNext and C3. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”