Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ashrafi, Adnan Ferdous"'
Computer-aided diagnosis (CAD) is today considered a vital tool in the field of biological image categorization, segmentation, and other related tasks. The current breakthrough in computer vision algorithms and deep learning approaches has substantia
Externí odkaz:
http://arxiv.org/abs/2410.14833
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 1038-1043
We live in a period where bio-informatics is rapidly expanding, a significant quantity of genomic data has been produced as a result of the advancement of high-throughput genome sequencing technology, raising concerns about the costs associated with
Externí odkaz:
http://arxiv.org/abs/2212.02864
Autor:
Ahmed, Md. Rayhan, Ashrafi, Adnan Ferdous, Ahmed, Raihan Uddin, Shatabda, Swakkhar, Islam, A. K. M. Muzahidul, Islam, Salekul
Publikováno v:
Neural Computing and Applications, Volume 35, Pages 14379 - 14401 (2023)
Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still challenging for U-Net, and its state-of-the-art variants, such as CE-
Externí odkaz:
http://arxiv.org/abs/2211.14235
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 757-762
Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and provide better productivity. Therefore, it is crucial to study the identif
Externí odkaz:
http://arxiv.org/abs/2211.14175
Autor:
Onik, Md Mehedi Hassan, Nobin, Shakhawat Ahmmed, Ashrafi, Adnan Ferdous, Chowdhury, Tareque Mohmud
Reconstruction of gene regulatory networks is the process of identifying gene dependency from gene expression profile through some computation techniques. In our human body, though all cells pose similar genetic material but the activation state may
Externí odkaz:
http://arxiv.org/abs/1805.01506
Autor:
Ahmed, Md. Rayhan1 (AUTHOR) rayhan@cse.uiu.ac.bd, Ashrafi, Adnan Ferdous2 (AUTHOR), Ahmed, Raihan Uddin3 (AUTHOR), Shatabda, Swakkhar1 (AUTHOR), Islam, A. K. M. Muzahidul1 (AUTHOR), Islam, Salekul1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jul2023, Vol. 35 Issue 19, p14379-14401. 23p.
Autor:
Ashrafi, Adnan Ferdous, Newaz, A. K. M Iqtidar, Ajwad, Rasif, Tanvee, Moin Mahmud, Mottalib, M. A.
Publikováno v:
2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS); 2015, p12-17, 6p