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. …"

Proposed hybrid GA- ML algorithms. حسب Ankur Kumar (1357440)

الموضوعات:

Proposed GA-ML algorithms pseudocode. حسب Ankur Kumar (1357440)

الموضوعات:

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. …"

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

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf حسب Gabriella Yakemow (20137758)

"…Introduction<p>Posttraumatic stress disorder (PTSD) is a mental health disorder caused by experiencing or witnessing traumatic events. …"

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. …"

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)

Results of each filtering method on the point cloud in the example region(a: September 2023 single epoch point cloud; b: the example region; c: manual filtering results; d: Filteri... حسب Xiaowei Li (620087)

الموضوعات:

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. …"

Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf حسب Upinder Kaur (10805317)

"…This paper will suggest a new deep learning model that integrates ResNet101 and the Sparrow Search Optimization (SSO) algorithm to identify plant stress in urban agriculture environments. …"

Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip حسب Upinder Kaur (10805317)

"…This paper will suggest a new deep learning model that integrates ResNet101 and the Sparrow Search Optimization (SSO) algorithm to identify plant stress in urban agriculture environments. …"