Fahima Noor, Sanaulla Haq, Mohammed Rakib, Tarik Ahmed et al.
Bangladesh is in the floodplains of the Ganges, Brahmaputra, and Meghna River delta, crisscrossed by an intricate web of rivers. Although the country is highly prone to flooding, the use of state-of-the-art deep learning models in predicting river water levels to aid flood forecasting is underexplor...
Mohammed Sarfaraz Gani Adnan, Zakaria Shams Siam, Irfat Kabir, Zobaidul Kabir et al.
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have been carried out in recent years. While majority of those models produce reasonably accurate flood predictions, the outcomes are subject to uncertainty since flood susceptibility models (FSMs) may produce varyin...
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Fahima Noor et al.
Assessing flood risk is challenging due to complex interactions among flood susceptibility, hazard, exposure, and vulnerability parameters. This study presents a novel flood risk assessment framework by utilizing a hybridized deep neural network (DNN) and fuzzy analytic hierarchy process (AHP) model...
Zakaria Shams Siam, Md Arifuzzaman, Md. Salik Ahmed, Faisal Ahamed Khan et al.
BACKGROUND: Having inadequate health care systems and poor socio-economic infrastructure, Bangladesh has been braving to contain the impact of current COVID-19 pandemic since March, 2020. To curb the diffusion of COVID-19, the local government has responded to the outbreak by enforcing a set of rest...
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Fahima Noor et al.
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Moajjem Hossain Chowdhury, Md. Shaheenur Islam Sumon et al.
Brain magnetic resonance imaging (MRI) offers intricate soft tissue contrasts that are essential for diagnosing diseases and conducting neuroscience research. At 7 Tesla (7T) magnetic field intensity, MRI enables increased resolution, enhanced tissue contrast, and improved SNR, compared to MRI colle...
Md Arifuzzaman, Zakaria Shams Siam, Md. Harunur Rashid, Md. Shariful Islam
Bangladesh has been combating the COVID-19 pandemic with limited financial resources and poor health infrastructure since March, 2020. Although the government has imposed several restricted measures to curb the progression of the outbreak, these arrays of measures are not sustainable in the long run...
Ishtiak Al Mamoon, Zakaria Shams Siam, Abdul Akhir Al Galib, Theophil Dango et al.
In the field of numismatics, classifying ancient coins, especially those that have diverse information and cultural heritage is a difficult task. Machine learning algorithms have recently made remarkable advancements in these types of tasks. However, these algorithms largely rely on relevant dataset...
Zakaria Shams Siam, Md Younus Akon, Israt Jahan Munmun, Abdullah Al-Amin et al.
Translating between medical imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), presents a formidable challenge due to their fundamentally distinct picture characteristics and contrasts. The existence of paired datasets across modalities is essential for the va...
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Rashedur M. Rahman
Spatial flood susceptibility mapping (FSM) is one of the key components of flood risk assessment. Recent studies showed the efficacy of hybridized machine learning (ML)-based models in predicting flood susceptibility. The quality of this prediction depends on the presence or absence of label noise i...
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Ankit Dev et al.
Zakaria Shams Siam, Md Arifuzzaman, Md. Harunur Rashid, Md. Shariful Islam
Abstract Bangladesh has been combating the COVID-19 pandemic with limited financial resources and poor health infrastructure since March, 2020. Although the government has imposed several restricted measures to curb the progression of the outbreak, these arrays of measures are not sustainable in the...
Mohammed Sarfaraz Gani Adnan, Zakaria Shams Siam, Salit Chakma, M. Rahman Rashedur et al.
Mohammed Sarfaraz Gani Adnan, Luke Bateson, F. Becattini, Kushanav Bhuyan et al.
Kanchon Kanti Podder, Mohammad Kaosar Alam, Zakaria Shams Siam, Khandaker Reajul Islam et al.