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

Data Sheet 2_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip حسب Xia Zheng (384416)

Data Sheet 1_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip حسب Xia Zheng (384416)

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

الموضوعات:

Flow chart of the DBSCAN algorithm. حسب Ming Jiang (11433)

"…This study proposes an innovative vehicle rental early warning system that incorporates the improved DBSCAN clustering technique and the iTransformer model. The enhanced DBSCAN technique, which employs a snow ablation optimizer (SAO) algorithm, establishes an electronic barrier and integrates the iTransformer model for trajectory prediction. …"

Pseudocode for the missForestPredict algorithm - new observation. حسب Elena Albu (15181070)

الموضوعات:

Comparison of algorithms for vehicle home location. حسب Ming Jiang (11433)

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

Algorithms runtime comparison. حسب Meilin Zhu (688698)

"…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …"

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

الموضوعات:

Solution results of different algorithms. حسب Meilin Zhu (688698)

"…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …"

Median runtime in seconds for building imputation models and imputing the training set (the Q1 - Q3 range is presented in the shiny app). حسب Elena Albu (15181070)

الموضوعات:

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. …"

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. …"

Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and high AUROC (0.9). حسب Elena Albu (15181070)

الموضوعات:

Distribution of original (non-missing) and imputed values for continuous variables. حسب Elena Albu (15181070)

الموضوعات:

Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). حسب Elena Albu (15181070)

الموضوعات:

Imputed variable and predictor matrix. حسب Elena Albu (15181070)

الموضوعات:

NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). حسب Elena Albu (15181070)

الموضوعات:

Amputation mechanisms. حسب Elena Albu (15181070)

الموضوعات: