I agree that this site is using cookies. You can find further informations here.
X
Jiaxu Kang
51  results:
Search for persons X
?
1

A study on the reasonable width of narrow coal pillars in t..:

Meng, Wang ; Xin, Li ; Jinshuai, Su...
Energy Science & Engineering.  12 (2024)  6 - p. 2746-2765 , 2024
Link: https://doi.org/10.1002/..
 
?
2

Research on Active Advanced Support Technology of Backfilli..:

Wang, Meng ; Su, Jinshuai ; Qin, Hongyan...
Rock Mechanics and Rock Engineering.  , 2024
Link: https://doi.org/10.1007/..
 
?
3

Design and study of mine silo drainage method based on fuzz..:

Wang, Meng ; Kang, Jiaxu ; Liu, Weiwei...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
?
4

Think Holistically, Act Down-to-Earth: A Semantic Navigatio..:

Chen, Bolei ; Kang, Jiaxu ; Zhong, Ping...
IEEE Transactions on Circuits and Systems for Video Technology.  34 (2024)  5 - p. 3860-3875 , 2024
Link: https://doi.org/10.1109/..
 
?
5

Design and Implementation of an Automatic Emulsion Dispensi..:

Wang, Meng ; Kang, Jiaxu ; Liu, Weiwei...
IEEE Access.  11 (2023)  - p. 102768-102780 , 2023
Link: https://doi.org/10.1109/..
 
?
6

Research on prediction of compressive strength of fly ash a..:

Wang, Meng ; Kang, Jiaxu ; Liu, Weiwei...
PLOS ONE.  17 (2022)  12 - p. e0279293 , 2022
Link: https://doi.org/10.1371/..
 
?
7

Design and Implementation of an Automatic Emulsion Dispensi..:

Meng Wang ; Jiaxu Kang ; Weiwei Liu...
https://ieeexplore.ieee.org/document/10254229/.  , 2023
Link: https://doi.org/10.1109/..
 
?
8

Overall statistical description of data:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/dataset/Overall_statistical_description_of_data_/21783494.  , 2022
Link: https://doi.org/10.1371/..
 
?
9

Actual and predicted compressive strength and error rate of..:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/dataset/Actual_and_predicted_compressive_strength_and_error_rate_of_each_proportioned_concrete_test_block_/21783503.  , 2022
Link: https://doi.org/10.1371/..
 
?
10

Model fitting diagram:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Model_fitting_diagram_/21783476.  , 2022
Link: https://doi.org/10.1371/..
 
?
11

Optimal parameters of each model:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/dataset/Optimal_parameters_of_each_model_/21783497.  , 2022
Link: https://doi.org/10.1371/..
 
?
12

Relative error-index over the test phase sample for predict..:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Relative_error-index_over_the_test_phase_sample_for_predicted_values_utilizing_machine_learning_models_/21783482.  , 2022
Link: https://doi.org/10.1371/..
 
?
13

Correlation between features:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Correlation_between_features_/21783473.  , 2022
Link: https://doi.org/10.1371/..
 
?
14

Model training and experimental verification process:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Model_training_and_experimental_verification_process_/21783464.  , 2022
Link: https://doi.org/10.1371/..
 
?
15

Characteristic numerical distribution:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Characteristic_numerical_distribution_/21783470.  , 2022
Link: https://doi.org/10.1371/..
 
1-15