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

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

Subjects: “…crayfish optimization algorithm…”

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

Algorithmic experimental parameter design. by 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. by 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. …”

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

“…The missForestPredict algorithm is compared to mean/mode imputation, linear regression imputation, mice, k-nearest neighbours, bagging, miceRanger and IterativeImputer on eight simulated datasets with simulated missingness (48 scenarios) and eight large public datasets using different prediction models. missForestPredict provides competitive results in prediction settings within short computation times.…”

Time(ms) and KFLOPs savings of multi-agents tasks. by Hongjie Zhang (136127)

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. …”

Functional module diagram. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

General architecture diagram. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Comparison of Water Consumption in 2022 and 2023. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Comparison of Water Consumption in 2021 and 2022. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Comparison of water consumption in 2022 and 2023. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Comparison of water consumption in 2021 and 2022. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Subjects:

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

Risk element category diagram. by 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. …”