Solution obtained by NSGA-II (Instance #2). by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

This is Symbols used in the paper. by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

This is Schematic diagram of virus spread range. by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

This is Hypervolumes of each result. by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

Symbols used in the paper. by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

Solution obtained by NSGA-II (Instance #1). by Chen Hao (352436)

“…The final results also indicate that compared to the results obtained by traditional genetic algorithms, the improved NSGA-II algorithm performs better in solving the optimization problem of infectious medical waste transportation routes.…”

Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF by Haidi Wang (9694004)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

DataSheet1_Transient voltage stability assessment and margin calculation based on disturbance signal energy feature learning.DOCX by Yan Chen (4308)

DataSheet1_Transient voltage stability assessment and margin calculation based on disturbance signal energy feature learning.DOCX by Yan Chen (4308)

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”

DataSheet1_A feeder link planning method for total supply capability improvement of distribution network.docx by Jun Xiao (179459)

Table2_Nonintrusive Load Monitoring Method Based on Color Encoding and Improved Twin Support Vector Machine.XLS by Ruoyuan Zhang (13136175)

Table1_Nonintrusive Load Monitoring Method Based on Color Encoding and Improved Twin Support Vector Machine.XLS by Ruoyuan Zhang (13136175)

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. by Jiaqing Luo (10975030)

“…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …”

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

“…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …”

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

“…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”

Optimal Timings Codebook.xlsx by Emma Spillane (11249121)

Flowchart scheme of the ML-based model. by Noshaba Qasmi (20405009)

“…<b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …”

DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf by Marcel Dahms (9160118)

“…Improvement of the classification rate is expected with optimized model parameters and algorithms as well as with a larger spectral data base for training.…”