Swapan Talukdar, Bonosri Ghose, Shahfahad, Roquia Salam et al.
Bonosri Ghose, Abu Reza Md. Towfiqul Islam, H. M. Touhidul Islam, Md. Hasanuzzaman et al.
Abu Reza Md. Towfiqul Islam, Mohammed Al Awadh, Javed Mallick, Subodh Chandra Pal et al.
Fine particulate matter (PM_2.5) has become a prominent pollutant due to rapid economic development, urbanization, industrialization, and transport activities, which has serious adverse effects on human health and the environment. Many studies have employed traditional statistical models and remote-...
Javed Mallick, Abu Reza Md. Towfiqul Islam, Bonosri Ghose, H. M. Touhidul Islam et al.
The rise in the frequency and magnitude of extreme temperature phenomena across the globe has led to the recurrent incidence of global climate hazards, which have had severe effects on socioeconomic development. The daily maximum and minimum temperature datasets of 27 sites in Bangladesh were used t...
Abu Reza Md. Towfiqul Islam, Asish Saha, Bonosri Ghose, Subodh Chandra Pal et al.
Landslide is recognized as one of the greatest threats in the complex mountainous regions of Sikkim Himalaya. Therefore, landslide susceptibility modeling (LSMs) has become an ideal tool for managing landslide disasters. Keeping this fact in view, researchers always try to develop optimal models for...
Bonosri Ghose, Abu Reza Md. Towfiqul Islam, Mohammad Kamruzzaman, Md. Moniruzzaman et al.
Javed Mallick, Mohd Waseem Naikoo, Swapan Talukdar, Ishita Afreen Ahmed et al.
The present study intends to construct a logistic regression based hybrid EML model by considering nine standalone and ensemble machine learning (EML) algorithms as parameters for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF), M5P, artif...
Shahfahad, Swapan Talukdar, Bonosri Ghose, Abu Reza Md. Towfiqul Islam et al.
Roquia Salam, Bonosri Ghose, Badhon Kumar Shill, Md. Aminul Islam et al.
Abstract Disaster risk perception and risk appraisal are essential in formulating an appropriate disaster risk reduction policy. This study examines the actual vs perceived drought risks by constructing risk indices at the household and expert levels using survey data from the lower Teesta River Bas...
Bonosri Ghose, Abu Reza Md. Towfiqul Islam, Roquia Salam, Shamsuddin Shahid et al.
This paper intends to explore rice yield fluctuations to large-scale atmospheric circulation indices (LACIs) in Bangladesh. The annual dataset of climate-derived yield index (CDYI), estimated using principal component analysis of Aus rice yield data of 23 districts, and five LACIs for the period 198...
Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, Nourin Akter Nova, Rabin Chakrabortty et al.
This article intends to assess flood susceptibility mapping in Meghna River basin (MRB) and identified flood susceptible regions using three benchmark models including random forest (RF), support vector machine (SVM) and bagging with Naïve Bayes (NB) stacking ensemble algorithms (e.g. RF-NB; SVM-NB ...
Javed Mallick, Abu Reza Md. Towfiqul Islam, Bonosri Ghose, H. M. Touhidul Islam et al.
The rise in the frequency and magnitude of extreme temperature phenomena across the globe has led to the recurrent incidence of global climate hazards, which have had severe effects on socioeconomic development. The daily maximum and minimum temperature datasets of 27 sites in Bangladesh were used t...
Bonosri Ghose, Abu Reza Md. Towfiqul Islam, Roquia Salam, Shamsuddin Shahid et al.
Abstract This paper intends to explore rice yield fluctuations to large-scale atmospheric circulation indices (LACIs) in Bangladesh. The annual dataset of climate-derived yield index (CDYI), estimated using principal component analysis of Aus rice yield data of 23 districts, and five LACIs for the p...
Roquia Salam, Bonosri Ghose, Badhon Kumar Shill, Md. Aminul Islam et al.
Abstract Disaster risk perception, as well as risk appraisal, play a pivotal role in making the disaster risk reduction policy. This study examines the actual vs perceived drought risks by constructing risk indices at the household and expert levels using survey data from the lower Teesta River Basi...
Roquia Salam, Bonosri Ghose, Badhon Kumar Shill, Md. Aminul Islam et al.