Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Dhanushka Sandaruwan
20  Ergebnisse:
Personensuche X
?
1

Assessment of Community Dynamics of Arbuscular Mycorrhizal ..:

Kalamulla, Ruwanthika ; Sandaruwan, Dhanushka ; Karunarathna, Samantha C....
Sustainability.  14 (2022)  24 - p. 16537 , 2022
Link: https://doi.org/10.3390/..
 
?
2

Assessment of Community Dynamics of Arbuscular Mycorrhizal ..:

Ruwanthika Kalamulla ; Dhanushka Sandaruwan ; Samantha C. Karunarathna...
https://www.mdpi.com/2071-1050/14/24/16537.  , 2022
Link: https://doi.org/10.3390/..
 
?
3

Assessment of Community Dynamics of Arbuscular Mycorrhizal ..:

Ruwanthika Kalamulla ; Dhanushka Sandaruwan ; Samantha C. Karunarathna...
Sustainable Agriculture.  , 2022
Link: https://doi.org/10.3390/..
 
?
4

An improved deep learning model for hierarchical classifica..:

Sandaruwan, Pahalage Dhanushka ; Wannige, Champi Thusangi ; Le, Khanh N.Q.
PLOS ONE.  16 (2021)  10 - p. e0258625 , 2021
Link: https://doi.org/10.1371/..
 
?
5

An improved deep learning model for hierarchical classifica..:

Pahalage Dhanushka Sandaruwan ; Champi Thusangi Wannige
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528337/?tool=EBI.  , 2021
Link: https://doaj.org/article..
 
?
6

An improved deep learning model for hierarchical classifica..:

Pahalage Dhanushka Sandaruwan ; Champi Thusangi Wannige
https://doi.org/10.1371/journal.pone.0258625.  , 2021
Link: https://doi.org/10.1371/..
 
?
7

Prediction accuracy (%) comparisons of GPCR dataset:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/Prediction_accuracy_comparisons_of_GPCR_dataset_/16838922.  , 2021
Link: https://doi.org/10.1371/..
 
?
8

The architecture of a block of the feature extraction secti..:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/The_architecture_of_a_block_of_the_feature_extraction_section_of_the_proposed_DeepHiFam_/16838913.  , 2021
Link: https://doi.org/10.1371/..
 
?
9

Parameter comparison with ProtCNN and bi-directional LSTM:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/dataset/Parameter_comparison_with_ProtCNN_and_bi-directional_LSTM_/16838937.  , 2021
Link: https://doi.org/10.1371/..
 
?
10

The architecture of the proposed feedforward DeepHiFam mode:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/The_architecture_of_the_proposed_feedforward_DeepHiFam_model_/16838910.  , 2021
Link: https://doi.org/10.1371/..
 
?
11

Parameter comparison with ProtCNN and bi-directional LSTM:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/dataset/Parameter_comparison_with_ProtCNN_and_bi-directional_LSTM_/16838940.  , 2021
Link: https://doi.org/10.1371/..
 
?
12

The prediction accuracy (%) comparison of COG A, B and C da..:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/dataset/The_prediction_accuracy_comparison_of_COG_A_B_and_C_datasets_/16838934.  , 2021
Link: https://doi.org/10.1371/..
 
?
13

A sequence as a matrix:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/A_sequence_as_a_matrix_/16838907.  , 2021
Link: https://doi.org/10.1371/..
 
?
14

Training and validation accuracies without overfitting:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/Training_and_validation_accuracies_without_overfitting_/16838919.  , 2021
Link: https://doi.org/10.1371/..
 
?
15

Details of datasets:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/dataset/Details_of_datasets_/16838925.  , 2021
Link: https://doi.org/10.1371/..
 
1-15