Mirza Md Moyen Uddin, Taimur Sharif, Abu Reza Mohammad Islam, Mohammad Zoynul Abedin
This paper aims to investigate the moderating presence of FDI in the nexus amid economic progression and quality of environment in 115 countries, and various income panels of countries from 1992 to 2019, based on a theoretical underpinning of the Environmental Kuznets Curve (EKC). The results reveal...
Mahmudul Hasan, Mohammad Zoynul Abedin, Petr Hájek, Kristof Coussement et al.
Abstract To efficiently capture diverse fluctuation profiles in forecasting crude oil prices, we here propose to combine heterogenous predictors for forecasting the prices of crude oil. Specifically, a forecasting model is developed using blended ensemble learning that combines various machine learn...
Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, Mohammad Saifur Rahman et al.
Customer churn is one of the most critical issues faced by the telecommunication industry (TCI). Researchers and analysts leverage customer relationship management (CRM) data through the use of various machine learning models and data transformation methods to identify the customers who are likely t...
Mohammad Mazibar Rahman, Rafiuddin Ahmed, Abu Hashan Md Mashud, Asif Iqbal Malik et al.
Consumption-based CO2 emission (CBE) accounting shows the possibility of global carbon leakage. Very little attention has been paid to the amount of emissions related to the consumption of products and services and their impact on sustainable development goals (SDGs), especially in the SAARC region....
Chi GUOTAI, Mohammad Zoynul Abedin, Fahmida E–MOULA
This study proposes an investigation and optimization of Multi-Layer Perceptron (MLP) based artificial neural networks (ANN) credit prediction model, combine with the effect of different ratios of training to testing instances over five real-world credit databases. As an outcome from the alteration ...
Tasnim Ahmed, Mohammad Mazibar Rahman, Mahbuba Aktar, Anupam Das Gupta et al.
Md. Shahriare Satu, Shelia Rahman, Md. Imran Khan, Mohammad Zoynul Abedin et al.
M. Dharani, M. Kabir Hassan, Makeen Huda, Mohammad Zoynul Abedin
Mohammad Mazibar Rahman, Chi Guotai, Anupam Das Gupta, Mahmud Hossain et al.
This study examines the impact of early COVID-19 pandemic on U.S. and European stock indices, implied volatility (IV) indices, and forecasting accuracy of IV indices from daily data of January 2012 to December 2020, using an out-of-sample assessment of COVID-19. Our results show that COVID-19 death ...
Syed Moudud‐Ul‐Huq, Tanmay Biswas, Md. Abdul Halim, Miroslav Mateev et al.
Purpose This study aims to show the relationship between competition, financial stability and ownership structure of banks in the Middle East and North African (MENA) countries. Design/methodology/approach This study uses the generalized method of moments (GMM) estimators to generate research result...
Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin
Hotel booking cancellation is provided a substantial effects on demand management decisions in the hospitality industry. The goal of this work is to investigate the effects of different machine learning methods in hotel booking cancellation process. In this work, we gathered a hotel booking cancella...
Sad Wadi Sajid, Mahmudul Hasan, Md. Fazle Rabbi, Mohammad Zoynul Abedin
Md. Fazle Rabbi, Mahmudul Hasan Moon, Fahmida Tasnim Dhonno, Ayrin Sultana et al.
Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman et al.
Abstract This study aims to propose a deep learning model to detect COVID-19 positive cases more precisely utilizing chest X-ray images. We have collected and merged all the publicly available chest X-ray datasets of COVID-19 infected patients from Kaggle and Github, and pre-processed it using rando...
Rony Kumar Datta, Sad Wadi Sajid, Mahmudul Hasan Moon, Mohammad Zoynul Abedin