Comparison of related studies with our work. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

Unit impedance of each OD pair. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

Subscripts and parameters used in TSSN. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

Occupying rate of v-class seat in each train. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

Schematic diagram of mutation operation. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

The values of other input parameters. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

Optimized unbalanced train operation chart. حسب Zhipeng Huang (1759759)

"…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"

RT-Sort parameters. حسب Tjitse van der Molen (20391106)

"…However, until now, spike sorting can only be performed after completion of the recording, preventing true real time usage of spike sorting algorithms. Utilizing the unique propagation patterns of action potentials along axons detected as high-fidelity sequential activations on adjacent electrodes, together with a convolutional neural network-based spike detection algorithm, we introduce RT-Sort (Real Time Sorting), a spike sorting algorithm that enables the sorted detection of action potentials within 7.5ms±1.5ms (mean±STD) after the waveform trough while the recording remains ongoing. …"

Data Sheet 1_Modelling the spatial bound of an eDNA signal in the marine environment – the effect of local conditions.pdf حسب Tiago A. M. Silva (22188730)

Table 8_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 9_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 4_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 7_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 10_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Table 5_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"

Image 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif حسب Peng Zhu (277243)

"…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …"