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

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

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

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

The run time for each algorithm in seconds. حسب 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. …"

The mean reward results of using visual information and audio samples in the ViZDoom environment. حسب Enoch Solomon (21416703)

الموضوعات:

Mean scores of the last 100 episodes using PPO and DQN in Unity environment and ViZDoom. حسب Enoch Solomon (21416703)

الموضوعات:

Mean reward of using only pixels and pixels with raw audio samples in ViZDoom environment. حسب Enoch Solomon (21416703)

الموضوعات:

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Mean reward of using visual information, visual information with raw audio samples in Unity ML environment. حسب Enoch Solomon (21416703)

الموضوعات:

Risk element category diagram. حسب Yao Hu (3479972)

"…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …"

The mean and standard deviation of the test results are presented for the use of both visual information and raw audio samples in the Unity ML environment. حسب Enoch Solomon (21416703)

الموضوعات:

Example measurement and analysis units for landscape elements. حسب Jaewon Han (8660295)

الموضوعات:

Comparison of mass attenuation coefficient calculated by Geant4 simulation and acquired from NIST data. حسب Dong Hyeok Choi (12562048)

Data for Figs 3–9. حسب Xiaogang Li (299205)

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

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

"…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …"

Elements: A Sustainable, Resource-Efficient Cyberinfrastructure for Notebook Interactive ML Training Workloads حسب Yue Cheng (22087328)