Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mahmud Elahi Akhter"'
Autor:
Abu Said Md. Juel Miah, Tariqul Islam, Anja Fasse, Iffat Anjum, KAM Morshed, Mahmud Elahi Akhter, Nayeem Sultana, Md. Israt Rayhan
Publikováno v:
Southeast Asia, Vol 24, Iss 1, Pp 16-26 (2024)
Purpose – The Rohingyas are forcefully displaced from Myanmar and sheltered in the Cox's Bazar district of Bangladesh. They have outnumbered the local people indicating a critical condition of their living situation after the year 2017 influx. The
Externí odkaz:
https://doaj.org/article/52ac9535a73f4189ba9e5c03eed5b0e5
Autor:
Lubaba Tazrian Rahman, Mahmud Elahi Akhter, Faizul Rakib Sayem, Mainul Hossain, Rajib Ahmed, M. M. Lutfe Elahi, Khaleda Ali, Sharnali Islam
Publikováno v:
IEEE Access, Vol 10, Pp 20149-20158 (2022)
Chip-based photonic systems have undergone substantial progress over the last decade. However, the realization of photonic devices still depends largely on intuition-based trial-and-error methods, with a limited focus on characteristic analysis. In t
Externí odkaz:
https://doaj.org/article/456d98ec165b4cf38f5e4395950839ad
Autor:
Syed Athar Bin Amir, Mahmud Elahi Akhter, Fahimul Haque, Rafeed Sultaan, Rishad Arfin, Ashfia Binte Habib, Shahriar Hussain, Rajesh Palit, Zunayeed Bin Zahir
Publikováno v:
Medical Imaging and Computer-Aided Diagnosis ISBN: 9789811551987
Image segmentation is one of the most popular methods in automated computational medical image analysis. Precise and significant semantic segmentation on abdominal Magnetic Resonance Imaging (MRI) and Computer Tomography (CT) volume images, specifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23fb18bb2810019a0c9ba3dee5073096
https://doi.org/10.1007/978-981-15-5199-4_17
https://doi.org/10.1007/978-981-15-5199-4_17
Autor:
Zunayeed Bin Zahir, Syed Athar Bin Amir, Ashfia Binte Habib, Fahimul Haque, Mahmud Elahi Akhter, Rishad Arfin, Shahriar Hussain, Rajesh Palit
Publikováno v:
Medical Imaging and Computer-Aided Diagnosis ISBN: 9789811551987
Manual hand tailored biomedical image segmentation of different organs is a time consuming and laborious task. However, for the last decade or so, many deep learning convolutional neural network (CNN) models have emerged claiming to have close to hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c7911fcbbc62bd927eb7d3778e9d8f
https://doi.org/10.1007/978-981-15-5199-4_23
https://doi.org/10.1007/978-981-15-5199-4_23