E-LIB Suche - Ergebnisse für: Rahman, Md. Akizur - Sprache DE

Personensuche X

Sortierung: Relevanz

Sortierung: Jahr

1

Attention and Pooling based Sigmoid Colon Segmentation in 3..:

, In: 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA),

Rahman, Md Akizur ; Singh, Sonit ; Shanmugalingam, Kuruparan... - p. 312-319 , 2023

Link: https://doi.org/10.1109/..

2

Artificial neural network with Taguchi method for robust cl..:

Rahman, Md Akizur ; Muniyandi, Ravie chandren ; Albashish, Dheeb..
PeerJ Computer Science. 7 (2021) - p. e344 , 2021

Link: https://doi.org/10.7717/..

3

An Enhancement in Cancer Classification Accuracy Using a Tw..:

Rahman, Md Akizur ; Muniyandi, Ravie Chandren
Symmetry. 12 (2020) 2 - p. 271 , 2020

Link: https://doi.org/10.3390/..

4

Ovarian Cancer Classification Accuracy Analysis Using 15-Ne..:

, In: 2019 IEEE Student Conference on Research and Development (SCOReD),

Rahman, Md. Akizur ; Muniyandi, Ravie Chandren ; Islam, Kh Tohidul. - p. 33-38 , 2019

Link: https://doi.org/10.1109/..

5

Prostate Cancer Classification Based on Best First Search a..:

, In: Image and Video Technology; Lecture Notes in Computer Science,

Rahman, Md Akizur ; Singh, Priyanka ; Muniyandi, Ravie Chandren.. - p. 325-336 , 2019

Link: https://doi.org/10.1007/..

6

Review of GPU implementation to process of RNA sequence on ..:

Rahman, Md Akizur ; Muniyandi, Ravie Chandren
Informatics in Medicine Unlocked. 10 (2018) - p. 17-26 , 2018

Link: https://doi.org/10.1016/..

7

Attention and Pooling based Sigmoid Colon Segmentation in 3..:

Rahman, Md Akizur ; Singh, Sonit ; Shanmugalingam, Kuruparan...
http://arxiv.org/abs/2309.13872. , 2023

Link: http://arxiv.org/abs/230..

8

An Enhancement in Cancer Classification Accuracy Using a Tw..:

Md Akizur Rahman ; Ravie Chandren Muniyandi
https://dx.doi.org/10.3390/sym12020271. , 2020

Link: https://doi.org/10.3390/..

9

An Enhancement in Cancer Classification Accuracy Using a Tw..:

Md Akizur Rahman ; Ravie Chandren Muniyandi
https://www.mdpi.com/2073-8994/12/2/271. , 2020

Link: https://doi.org/10.3390/..

1-9